scenario design - european commission€¦ · scenario is to illustrate what reduction is maximally...
TRANSCRIPT
Mark de Bel Carlos Benitez Sanz Sune Djurhuus [February ndash 2019]
Scenario Design
Task B3 of the BLUE2 project ldquoStudy on EU integrated
policy assessment for the freshwater and marine
environment on the economic benefits of EU water
policy and on the costs of its non- implementationrdquo
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the
Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Citation
De Bel M Benitez Sanz C and Djurhuus S (2019) ldquoScenario Designrdquo Deliverable to
Task B3 of the BLUE2 project ldquoStudy on EU integrated policy assessment for the
freshwater and marine environment on the economic benefits of EU water policy and
on the costs of its non- implementationrdquo Report to DG ENV
Legal Notice
This document has been prepared for the European Commission however it reflects the
views only of the authors and the Commission cannot be held responsible for any use
which may be made of the information contained therein
STICHTING DELTARES
Boussinesqweg 1 2629 HV Delft
The Netherlands
EUROPEAN COMMISSION
Directorate-General for Environment Directorate C ndash Quality of Life mdash Veronica Manfredi Unit C2 mdash Marine Environment amp Water Indiustry
Contact Jacques Delsalle
E-mail JacquesDelsalleeceuropaeu
European Commission B-1049 Brussels
EUROPEAN COMMISSION
Directorate-General for Environment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Scenario Design
Task B3 of the BLUE2 project ldquoStudy on EU integrated
policy assessment for the freshwater and marine
environment on the economic benefits of EU water
policy and on the costs of its non- implementationrdquo
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
More information on the European Union is available on the Internet (httpeuropaeu)
Luxembourg Publications Office of the European Union 2019
Print ISBN 978-92-79-45908-5 ISSN 1831-2802 doi102838397707 DS-AU-15-001-EN-C
PDF ISBN 978-92-79-45907-8 ISSN 2443-5228 doi102838941824 DS-AU-15-001-EN-N
copy European Union 2019
Reproduction is authorised provided the source is acknowledged
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BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
TABLE OF CONTENTS
EXECUTIVE SUMMARY 7
1 PREFACE 10
2 INTRODUCTION 11
3 METHODOLOGY 12
31 Scenario development 12
32 Description of the five scenarios 15
33 The Scenario Generation Tool 18
34 The Scenario Generation Tool workflow 18
4 REFERENCES 23
5 LIST OF ACRONYMS 24
List of Tables
Table 1 Included measures in the BAU scenario 15
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2 22
List of Figures
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each study part
10
Figure 2 Steps in the scenario development approach 13
Figure 3 Illustration of development of pressures under external drivers and PoM 14
Figure 4 Scenario tool workflow and functionality diagram 19
Figure 5 The Scenario Generation Tool interface 20
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 7
Executive Summary
This report presents the implementation scenarios that were developed in task B3 of the
BLUE2 study The work in task B3 is interconnected with the other three tasks of part B
and with the JRC models for the aquatic environment as illustrated in the scheme below
Task B3 provides five scenarios that DG ENV can use to estimate the effectiveness of
proposed measures The five scenarios are the Business as Usual (BAU) scenario the
Maximum Technically Feasible Reduction (MTFR) scenario and three specific scenarios for
nutrients plastic litter and when sufficient evidence has become available for
contaminants The details of the measures that are included in the scenarios for each of
the pressures (nutrients water abstraction contaminants plastics and fisheries) are
described in task B2 (measures)
The BAU scenario serves as the reference for the scenario comparisons and includes the
measures that the member states have reported in the Programmes of Measures (PoMs)
of the WFD for implementation for the period 2009ndash2015 and the period 2016ndash2021 For
some Member States it also includes the measures from the PoMs for the period 2022ndash
2027
The MTFR scenario is defined as all measures that are currently available to reduce the
pressures under consideration for the waterbodies In the selection and evaluation of these
measures the costs of the measures are not considered The objective of the MTFR
scenario is to illustrate what reduction is maximally obtainable for the pressures under
consideration
In principle the policy space for the implementation of new or additional measures to the
current policy is the difference between the BAU and MTFR scenarios Cost-efficiency and
implementation capacity can thus guide the implementation of measures Achievements of
B1
Database of Pressures
B2
Database of Measures related to
the Pressures
including
CostsImpacts
B3
Scenario definitionsBAU MTFRnutrients
plastic contaminants
B4
Valuation methods
Application to model outputs
Water abstractionNutrients
ContaminantsFisheries
Plastic litter
JRC model runs
LISFLOODGREEN+
MMF
for five scenarios
B3
Scenario tools
B4
Model output database
B4
Result databases
Tools
EU-wide databases
EU Directives and reports
Regional Sea Conventions
EU-funded projects
scientific literature
country specific
information
etc
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 8
the different intermediary scenarios can consequently be obtained from the scenario tool
The scenario tool assumes a linear relationship with respect to effectiveness between the
BAU and the MTFR scenario in the calculation of the results The intermediate scenarios
serve to investigate the results of a dedicated approach towards a specific pressure
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
the actual implementation level of the UWWTD the full compliance to this Directive can be
added to this scenario
Plastics scenario
For plastics several EU Directives are currently in place that include measures which affect
plastic littering Recently the EC has published proposals for Directives on improved Port
Reception Facilities (January 2018) and on Single Use Plastics (May 2018) The measures
and impacts of these Directives are part of the dedicated plastics scenario together with
several additional measures that are being implemented or prepared by different member
states Calculations will follow once the JRC modelling train has become operational for this
pressure
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The viewer enables
users to visually inspect the created scenarios as well as the data outcome The overall
scenario workflow and tool functionality is displayed in the figure below
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 9
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operational cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
The BAU is the baseline scenario and additional investments to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of effort (BAU +10 +25 +50 and +75 or
MTFR) or investment (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures is estimated based on linear interpolation
between expected pressures for the BAU and MTFR scenarios
A scenario can be further refined by running the scenario in a specified geographic region
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file The produced outputs in the data base are the inputs to the JRC models Step 7
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 10
1 Preface
This report is one product of the ldquoStudy on European Union (EU) integrated policy
assessment for the freshwater and marine environment on the economic benefits of EU
water policy and on the costs of its non-implementationrdquo (BLUE2) commissioned by the
European Commission (EC) The overall aim of the BLUE2 study is to support the EC in
defining a better path for the development of the EU water acquis with the ultimate goal
to shift the EU towards the green and blue economy
BLUE2 is comprised of two parts as shown in Figure 1
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each
study part
The overall objective of Part A of BLUE2 is to increase the understanding of the full
(economic) value that water and water services generate and how water resources
contribute to economic development and citizens well-being The findings of BLUE2 will
further assist in quantifying how the EU water acquis contributes to this value generation
using the most appropriate valuation techniques
The overall objective of Part B of BLUE2 is to develop a method for the integrated
socio-economic assessment of policies affecting the quality of the freshwater and marine
environment to be applied in connection with the water and marine modelling framework
held by the Commissions Joint Research Centre (JRC) The method and accompanying
tools will be used to support policy development In particular Part B aims to establish an
EU pressures inventory and measures data base Additionally Part B will increase the
understanding of the cost-effectiveness of measures and the benefits arising from a
reduction of pressures on the freshwater and marine environment through the application
of two online modelling tools A Scenario Generation Tool for defining and generating policy
scenarios for JRC modelling and an Evaluation Tool for cost-benefit assessment of the
created scenarios
In this context this report presents the results of Task B3 Task B3 provides the definition
and development of 5 scenarios or policy alternatives to assess the impact of the
European Water Acquis Furthermore a scenario tool is developed that enables defining
and creating policy scenarios from the measures and pressures data bases collected in
Tasks B1 and B2 The created scenarios of measures cost-efficiency are used for further
assessment in JRC modelling and in Task B4 of the BLUE2 Project
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 11
2 Introduction
Within Task B3 of the BLUE2 Project five scenarios or policy alternatives are developed
to assess the impact of several European water-related Directives
- Water Framework Directive (WFD)
- Marine Strategy Framework Directive (MSFD)
- Urban Waste Water Treatment Directive (UWWTD)
- Drinking Water Directive (DWD)
- Nitrates Directive (ND) and
- Industrial Emissions Directive (IED)
The scenarios will serve to guide the Member States in their development of policy
alternatives - to meet the targets set by the different directives - under circumstances
when pressures increase within a catchment area because of increasing pressures from for
example demographic or economic developments Under Task B3 five different policy
scenarios have been developed out of which two are pre-defined namely (1) Business as
Usual (BAU) scenario and (2) Maximum Technically Feasible Reduction (MTFR) scenario
The goal of Task B3 is to provide policy scenarios from which policy makers can select
possible actions (measures) to mitigate existing and potentially increasing pressures that
arise from macro-scale developments (eg population economy climate etc)
Based on the different measures modelled in Task B2 and the economic evaluation
developed in Task B4 this should provide policy makers with a methodology to make a
comparison between the different policy scenarios In order to facilitate the selection of
scenarios a number of underlying macro-level assumptions are herein evaluated and a
selection of indicators for the pressures established
In developing policy scenarios it is essential to have a clear picture of the reference
situation ie where are we starting from and of the policy objective ie where do we
want to go Both should be established according to the timeline (ie what is the starting
point and when do we want to have reached our goal) ndash see also Figure 2 for a graphical
representation of this process Furthermore it needs to be established (1) how external
factors would influence the pressures under consideration (2) what is the effect of possible
policy measures on the pressures and (3) which indicators can be used to measure this
effect (ie dose-effect relations of measures or policy packages) To address these
particular aspects close collaboration with Tasks A3 and B2 has ensued This methodology
will be further elaborated in the next section
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the
Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Citation
De Bel M Benitez Sanz C and Djurhuus S (2019) ldquoScenario Designrdquo Deliverable to
Task B3 of the BLUE2 project ldquoStudy on EU integrated policy assessment for the
freshwater and marine environment on the economic benefits of EU water policy and
on the costs of its non- implementationrdquo Report to DG ENV
Legal Notice
This document has been prepared for the European Commission however it reflects the
views only of the authors and the Commission cannot be held responsible for any use
which may be made of the information contained therein
STICHTING DELTARES
Boussinesqweg 1 2629 HV Delft
The Netherlands
EUROPEAN COMMISSION
Directorate-General for Environment Directorate C ndash Quality of Life mdash Veronica Manfredi Unit C2 mdash Marine Environment amp Water Indiustry
Contact Jacques Delsalle
E-mail JacquesDelsalleeceuropaeu
European Commission B-1049 Brussels
EUROPEAN COMMISSION
Directorate-General for Environment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Scenario Design
Task B3 of the BLUE2 project ldquoStudy on EU integrated
policy assessment for the freshwater and marine
environment on the economic benefits of EU water
policy and on the costs of its non- implementationrdquo
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
More information on the European Union is available on the Internet (httpeuropaeu)
Luxembourg Publications Office of the European Union 2019
Print ISBN 978-92-79-45908-5 ISSN 1831-2802 doi102838397707 DS-AU-15-001-EN-C
PDF ISBN 978-92-79-45907-8 ISSN 2443-5228 doi102838941824 DS-AU-15-001-EN-N
copy European Union 2019
Reproduction is authorised provided the source is acknowledged
Printed in
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PRINTED ON TOTALLY CHLORINE-FREE BLEACHED PAPER (TCF)
PRINTED ON RECYCLED PAPER
PRINTED ON PROCESS CHLORINE-FREE RECYCLED PAPER (PCF)
Europe Direct is a service to help you find answers
to your questions about the European Union
Freephone number ()
00 800 6 7 8 9 10 11
() The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
TABLE OF CONTENTS
EXECUTIVE SUMMARY 7
1 PREFACE 10
2 INTRODUCTION 11
3 METHODOLOGY 12
31 Scenario development 12
32 Description of the five scenarios 15
33 The Scenario Generation Tool 18
34 The Scenario Generation Tool workflow 18
4 REFERENCES 23
5 LIST OF ACRONYMS 24
List of Tables
Table 1 Included measures in the BAU scenario 15
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2 22
List of Figures
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each study part
10
Figure 2 Steps in the scenario development approach 13
Figure 3 Illustration of development of pressures under external drivers and PoM 14
Figure 4 Scenario tool workflow and functionality diagram 19
Figure 5 The Scenario Generation Tool interface 20
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 7
Executive Summary
This report presents the implementation scenarios that were developed in task B3 of the
BLUE2 study The work in task B3 is interconnected with the other three tasks of part B
and with the JRC models for the aquatic environment as illustrated in the scheme below
Task B3 provides five scenarios that DG ENV can use to estimate the effectiveness of
proposed measures The five scenarios are the Business as Usual (BAU) scenario the
Maximum Technically Feasible Reduction (MTFR) scenario and three specific scenarios for
nutrients plastic litter and when sufficient evidence has become available for
contaminants The details of the measures that are included in the scenarios for each of
the pressures (nutrients water abstraction contaminants plastics and fisheries) are
described in task B2 (measures)
The BAU scenario serves as the reference for the scenario comparisons and includes the
measures that the member states have reported in the Programmes of Measures (PoMs)
of the WFD for implementation for the period 2009ndash2015 and the period 2016ndash2021 For
some Member States it also includes the measures from the PoMs for the period 2022ndash
2027
The MTFR scenario is defined as all measures that are currently available to reduce the
pressures under consideration for the waterbodies In the selection and evaluation of these
measures the costs of the measures are not considered The objective of the MTFR
scenario is to illustrate what reduction is maximally obtainable for the pressures under
consideration
In principle the policy space for the implementation of new or additional measures to the
current policy is the difference between the BAU and MTFR scenarios Cost-efficiency and
implementation capacity can thus guide the implementation of measures Achievements of
B1
Database of Pressures
B2
Database of Measures related to
the Pressures
including
CostsImpacts
B3
Scenario definitionsBAU MTFRnutrients
plastic contaminants
B4
Valuation methods
Application to model outputs
Water abstractionNutrients
ContaminantsFisheries
Plastic litter
JRC model runs
LISFLOODGREEN+
MMF
for five scenarios
B3
Scenario tools
B4
Model output database
B4
Result databases
Tools
EU-wide databases
EU Directives and reports
Regional Sea Conventions
EU-funded projects
scientific literature
country specific
information
etc
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 8
the different intermediary scenarios can consequently be obtained from the scenario tool
The scenario tool assumes a linear relationship with respect to effectiveness between the
BAU and the MTFR scenario in the calculation of the results The intermediate scenarios
serve to investigate the results of a dedicated approach towards a specific pressure
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
the actual implementation level of the UWWTD the full compliance to this Directive can be
added to this scenario
Plastics scenario
For plastics several EU Directives are currently in place that include measures which affect
plastic littering Recently the EC has published proposals for Directives on improved Port
Reception Facilities (January 2018) and on Single Use Plastics (May 2018) The measures
and impacts of these Directives are part of the dedicated plastics scenario together with
several additional measures that are being implemented or prepared by different member
states Calculations will follow once the JRC modelling train has become operational for this
pressure
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The viewer enables
users to visually inspect the created scenarios as well as the data outcome The overall
scenario workflow and tool functionality is displayed in the figure below
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 9
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operational cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
The BAU is the baseline scenario and additional investments to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of effort (BAU +10 +25 +50 and +75 or
MTFR) or investment (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures is estimated based on linear interpolation
between expected pressures for the BAU and MTFR scenarios
A scenario can be further refined by running the scenario in a specified geographic region
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file The produced outputs in the data base are the inputs to the JRC models Step 7
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 10
1 Preface
This report is one product of the ldquoStudy on European Union (EU) integrated policy
assessment for the freshwater and marine environment on the economic benefits of EU
water policy and on the costs of its non-implementationrdquo (BLUE2) commissioned by the
European Commission (EC) The overall aim of the BLUE2 study is to support the EC in
defining a better path for the development of the EU water acquis with the ultimate goal
to shift the EU towards the green and blue economy
BLUE2 is comprised of two parts as shown in Figure 1
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each
study part
The overall objective of Part A of BLUE2 is to increase the understanding of the full
(economic) value that water and water services generate and how water resources
contribute to economic development and citizens well-being The findings of BLUE2 will
further assist in quantifying how the EU water acquis contributes to this value generation
using the most appropriate valuation techniques
The overall objective of Part B of BLUE2 is to develop a method for the integrated
socio-economic assessment of policies affecting the quality of the freshwater and marine
environment to be applied in connection with the water and marine modelling framework
held by the Commissions Joint Research Centre (JRC) The method and accompanying
tools will be used to support policy development In particular Part B aims to establish an
EU pressures inventory and measures data base Additionally Part B will increase the
understanding of the cost-effectiveness of measures and the benefits arising from a
reduction of pressures on the freshwater and marine environment through the application
of two online modelling tools A Scenario Generation Tool for defining and generating policy
scenarios for JRC modelling and an Evaluation Tool for cost-benefit assessment of the
created scenarios
In this context this report presents the results of Task B3 Task B3 provides the definition
and development of 5 scenarios or policy alternatives to assess the impact of the
European Water Acquis Furthermore a scenario tool is developed that enables defining
and creating policy scenarios from the measures and pressures data bases collected in
Tasks B1 and B2 The created scenarios of measures cost-efficiency are used for further
assessment in JRC modelling and in Task B4 of the BLUE2 Project
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 11
2 Introduction
Within Task B3 of the BLUE2 Project five scenarios or policy alternatives are developed
to assess the impact of several European water-related Directives
- Water Framework Directive (WFD)
- Marine Strategy Framework Directive (MSFD)
- Urban Waste Water Treatment Directive (UWWTD)
- Drinking Water Directive (DWD)
- Nitrates Directive (ND) and
- Industrial Emissions Directive (IED)
The scenarios will serve to guide the Member States in their development of policy
alternatives - to meet the targets set by the different directives - under circumstances
when pressures increase within a catchment area because of increasing pressures from for
example demographic or economic developments Under Task B3 five different policy
scenarios have been developed out of which two are pre-defined namely (1) Business as
Usual (BAU) scenario and (2) Maximum Technically Feasible Reduction (MTFR) scenario
The goal of Task B3 is to provide policy scenarios from which policy makers can select
possible actions (measures) to mitigate existing and potentially increasing pressures that
arise from macro-scale developments (eg population economy climate etc)
Based on the different measures modelled in Task B2 and the economic evaluation
developed in Task B4 this should provide policy makers with a methodology to make a
comparison between the different policy scenarios In order to facilitate the selection of
scenarios a number of underlying macro-level assumptions are herein evaluated and a
selection of indicators for the pressures established
In developing policy scenarios it is essential to have a clear picture of the reference
situation ie where are we starting from and of the policy objective ie where do we
want to go Both should be established according to the timeline (ie what is the starting
point and when do we want to have reached our goal) ndash see also Figure 2 for a graphical
representation of this process Furthermore it needs to be established (1) how external
factors would influence the pressures under consideration (2) what is the effect of possible
policy measures on the pressures and (3) which indicators can be used to measure this
effect (ie dose-effect relations of measures or policy packages) To address these
particular aspects close collaboration with Tasks A3 and B2 has ensued This methodology
will be further elaborated in the next section
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
EUROPEAN COMMISSION
Directorate-General for Environment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Scenario Design
Task B3 of the BLUE2 project ldquoStudy on EU integrated
policy assessment for the freshwater and marine
environment on the economic benefits of EU water
policy and on the costs of its non- implementationrdquo
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
More information on the European Union is available on the Internet (httpeuropaeu)
Luxembourg Publications Office of the European Union 2019
Print ISBN 978-92-79-45908-5 ISSN 1831-2802 doi102838397707 DS-AU-15-001-EN-C
PDF ISBN 978-92-79-45907-8 ISSN 2443-5228 doi102838941824 DS-AU-15-001-EN-N
copy European Union 2019
Reproduction is authorised provided the source is acknowledged
Printed in
PRINTED ON ELEMENTAL CHLORINE-FREE BLEACHED PAPER (ECF)
PRINTED ON TOTALLY CHLORINE-FREE BLEACHED PAPER (TCF)
PRINTED ON RECYCLED PAPER
PRINTED ON PROCESS CHLORINE-FREE RECYCLED PAPER (PCF)
Europe Direct is a service to help you find answers
to your questions about the European Union
Freephone number ()
00 800 6 7 8 9 10 11
() The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
TABLE OF CONTENTS
EXECUTIVE SUMMARY 7
1 PREFACE 10
2 INTRODUCTION 11
3 METHODOLOGY 12
31 Scenario development 12
32 Description of the five scenarios 15
33 The Scenario Generation Tool 18
34 The Scenario Generation Tool workflow 18
4 REFERENCES 23
5 LIST OF ACRONYMS 24
List of Tables
Table 1 Included measures in the BAU scenario 15
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2 22
List of Figures
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each study part
10
Figure 2 Steps in the scenario development approach 13
Figure 3 Illustration of development of pressures under external drivers and PoM 14
Figure 4 Scenario tool workflow and functionality diagram 19
Figure 5 The Scenario Generation Tool interface 20
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 7
Executive Summary
This report presents the implementation scenarios that were developed in task B3 of the
BLUE2 study The work in task B3 is interconnected with the other three tasks of part B
and with the JRC models for the aquatic environment as illustrated in the scheme below
Task B3 provides five scenarios that DG ENV can use to estimate the effectiveness of
proposed measures The five scenarios are the Business as Usual (BAU) scenario the
Maximum Technically Feasible Reduction (MTFR) scenario and three specific scenarios for
nutrients plastic litter and when sufficient evidence has become available for
contaminants The details of the measures that are included in the scenarios for each of
the pressures (nutrients water abstraction contaminants plastics and fisheries) are
described in task B2 (measures)
The BAU scenario serves as the reference for the scenario comparisons and includes the
measures that the member states have reported in the Programmes of Measures (PoMs)
of the WFD for implementation for the period 2009ndash2015 and the period 2016ndash2021 For
some Member States it also includes the measures from the PoMs for the period 2022ndash
2027
The MTFR scenario is defined as all measures that are currently available to reduce the
pressures under consideration for the waterbodies In the selection and evaluation of these
measures the costs of the measures are not considered The objective of the MTFR
scenario is to illustrate what reduction is maximally obtainable for the pressures under
consideration
In principle the policy space for the implementation of new or additional measures to the
current policy is the difference between the BAU and MTFR scenarios Cost-efficiency and
implementation capacity can thus guide the implementation of measures Achievements of
B1
Database of Pressures
B2
Database of Measures related to
the Pressures
including
CostsImpacts
B3
Scenario definitionsBAU MTFRnutrients
plastic contaminants
B4
Valuation methods
Application to model outputs
Water abstractionNutrients
ContaminantsFisheries
Plastic litter
JRC model runs
LISFLOODGREEN+
MMF
for five scenarios
B3
Scenario tools
B4
Model output database
B4
Result databases
Tools
EU-wide databases
EU Directives and reports
Regional Sea Conventions
EU-funded projects
scientific literature
country specific
information
etc
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 8
the different intermediary scenarios can consequently be obtained from the scenario tool
The scenario tool assumes a linear relationship with respect to effectiveness between the
BAU and the MTFR scenario in the calculation of the results The intermediate scenarios
serve to investigate the results of a dedicated approach towards a specific pressure
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
the actual implementation level of the UWWTD the full compliance to this Directive can be
added to this scenario
Plastics scenario
For plastics several EU Directives are currently in place that include measures which affect
plastic littering Recently the EC has published proposals for Directives on improved Port
Reception Facilities (January 2018) and on Single Use Plastics (May 2018) The measures
and impacts of these Directives are part of the dedicated plastics scenario together with
several additional measures that are being implemented or prepared by different member
states Calculations will follow once the JRC modelling train has become operational for this
pressure
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The viewer enables
users to visually inspect the created scenarios as well as the data outcome The overall
scenario workflow and tool functionality is displayed in the figure below
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 9
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operational cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
The BAU is the baseline scenario and additional investments to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of effort (BAU +10 +25 +50 and +75 or
MTFR) or investment (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures is estimated based on linear interpolation
between expected pressures for the BAU and MTFR scenarios
A scenario can be further refined by running the scenario in a specified geographic region
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file The produced outputs in the data base are the inputs to the JRC models Step 7
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 10
1 Preface
This report is one product of the ldquoStudy on European Union (EU) integrated policy
assessment for the freshwater and marine environment on the economic benefits of EU
water policy and on the costs of its non-implementationrdquo (BLUE2) commissioned by the
European Commission (EC) The overall aim of the BLUE2 study is to support the EC in
defining a better path for the development of the EU water acquis with the ultimate goal
to shift the EU towards the green and blue economy
BLUE2 is comprised of two parts as shown in Figure 1
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each
study part
The overall objective of Part A of BLUE2 is to increase the understanding of the full
(economic) value that water and water services generate and how water resources
contribute to economic development and citizens well-being The findings of BLUE2 will
further assist in quantifying how the EU water acquis contributes to this value generation
using the most appropriate valuation techniques
The overall objective of Part B of BLUE2 is to develop a method for the integrated
socio-economic assessment of policies affecting the quality of the freshwater and marine
environment to be applied in connection with the water and marine modelling framework
held by the Commissions Joint Research Centre (JRC) The method and accompanying
tools will be used to support policy development In particular Part B aims to establish an
EU pressures inventory and measures data base Additionally Part B will increase the
understanding of the cost-effectiveness of measures and the benefits arising from a
reduction of pressures on the freshwater and marine environment through the application
of two online modelling tools A Scenario Generation Tool for defining and generating policy
scenarios for JRC modelling and an Evaluation Tool for cost-benefit assessment of the
created scenarios
In this context this report presents the results of Task B3 Task B3 provides the definition
and development of 5 scenarios or policy alternatives to assess the impact of the
European Water Acquis Furthermore a scenario tool is developed that enables defining
and creating policy scenarios from the measures and pressures data bases collected in
Tasks B1 and B2 The created scenarios of measures cost-efficiency are used for further
assessment in JRC modelling and in Task B4 of the BLUE2 Project
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 11
2 Introduction
Within Task B3 of the BLUE2 Project five scenarios or policy alternatives are developed
to assess the impact of several European water-related Directives
- Water Framework Directive (WFD)
- Marine Strategy Framework Directive (MSFD)
- Urban Waste Water Treatment Directive (UWWTD)
- Drinking Water Directive (DWD)
- Nitrates Directive (ND) and
- Industrial Emissions Directive (IED)
The scenarios will serve to guide the Member States in their development of policy
alternatives - to meet the targets set by the different directives - under circumstances
when pressures increase within a catchment area because of increasing pressures from for
example demographic or economic developments Under Task B3 five different policy
scenarios have been developed out of which two are pre-defined namely (1) Business as
Usual (BAU) scenario and (2) Maximum Technically Feasible Reduction (MTFR) scenario
The goal of Task B3 is to provide policy scenarios from which policy makers can select
possible actions (measures) to mitigate existing and potentially increasing pressures that
arise from macro-scale developments (eg population economy climate etc)
Based on the different measures modelled in Task B2 and the economic evaluation
developed in Task B4 this should provide policy makers with a methodology to make a
comparison between the different policy scenarios In order to facilitate the selection of
scenarios a number of underlying macro-level assumptions are herein evaluated and a
selection of indicators for the pressures established
In developing policy scenarios it is essential to have a clear picture of the reference
situation ie where are we starting from and of the policy objective ie where do we
want to go Both should be established according to the timeline (ie what is the starting
point and when do we want to have reached our goal) ndash see also Figure 2 for a graphical
representation of this process Furthermore it needs to be established (1) how external
factors would influence the pressures under consideration (2) what is the effect of possible
policy measures on the pressures and (3) which indicators can be used to measure this
effect (ie dose-effect relations of measures or policy packages) To address these
particular aspects close collaboration with Tasks A3 and B2 has ensued This methodology
will be further elaborated in the next section
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
More information on the European Union is available on the Internet (httpeuropaeu)
Luxembourg Publications Office of the European Union 2019
Print ISBN 978-92-79-45908-5 ISSN 1831-2802 doi102838397707 DS-AU-15-001-EN-C
PDF ISBN 978-92-79-45907-8 ISSN 2443-5228 doi102838941824 DS-AU-15-001-EN-N
copy European Union 2019
Reproduction is authorised provided the source is acknowledged
Printed in
PRINTED ON ELEMENTAL CHLORINE-FREE BLEACHED PAPER (ECF)
PRINTED ON TOTALLY CHLORINE-FREE BLEACHED PAPER (TCF)
PRINTED ON RECYCLED PAPER
PRINTED ON PROCESS CHLORINE-FREE RECYCLED PAPER (PCF)
Europe Direct is a service to help you find answers
to your questions about the European Union
Freephone number ()
00 800 6 7 8 9 10 11
() The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
TABLE OF CONTENTS
EXECUTIVE SUMMARY 7
1 PREFACE 10
2 INTRODUCTION 11
3 METHODOLOGY 12
31 Scenario development 12
32 Description of the five scenarios 15
33 The Scenario Generation Tool 18
34 The Scenario Generation Tool workflow 18
4 REFERENCES 23
5 LIST OF ACRONYMS 24
List of Tables
Table 1 Included measures in the BAU scenario 15
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2 22
List of Figures
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each study part
10
Figure 2 Steps in the scenario development approach 13
Figure 3 Illustration of development of pressures under external drivers and PoM 14
Figure 4 Scenario tool workflow and functionality diagram 19
Figure 5 The Scenario Generation Tool interface 20
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 7
Executive Summary
This report presents the implementation scenarios that were developed in task B3 of the
BLUE2 study The work in task B3 is interconnected with the other three tasks of part B
and with the JRC models for the aquatic environment as illustrated in the scheme below
Task B3 provides five scenarios that DG ENV can use to estimate the effectiveness of
proposed measures The five scenarios are the Business as Usual (BAU) scenario the
Maximum Technically Feasible Reduction (MTFR) scenario and three specific scenarios for
nutrients plastic litter and when sufficient evidence has become available for
contaminants The details of the measures that are included in the scenarios for each of
the pressures (nutrients water abstraction contaminants plastics and fisheries) are
described in task B2 (measures)
The BAU scenario serves as the reference for the scenario comparisons and includes the
measures that the member states have reported in the Programmes of Measures (PoMs)
of the WFD for implementation for the period 2009ndash2015 and the period 2016ndash2021 For
some Member States it also includes the measures from the PoMs for the period 2022ndash
2027
The MTFR scenario is defined as all measures that are currently available to reduce the
pressures under consideration for the waterbodies In the selection and evaluation of these
measures the costs of the measures are not considered The objective of the MTFR
scenario is to illustrate what reduction is maximally obtainable for the pressures under
consideration
In principle the policy space for the implementation of new or additional measures to the
current policy is the difference between the BAU and MTFR scenarios Cost-efficiency and
implementation capacity can thus guide the implementation of measures Achievements of
B1
Database of Pressures
B2
Database of Measures related to
the Pressures
including
CostsImpacts
B3
Scenario definitionsBAU MTFRnutrients
plastic contaminants
B4
Valuation methods
Application to model outputs
Water abstractionNutrients
ContaminantsFisheries
Plastic litter
JRC model runs
LISFLOODGREEN+
MMF
for five scenarios
B3
Scenario tools
B4
Model output database
B4
Result databases
Tools
EU-wide databases
EU Directives and reports
Regional Sea Conventions
EU-funded projects
scientific literature
country specific
information
etc
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 8
the different intermediary scenarios can consequently be obtained from the scenario tool
The scenario tool assumes a linear relationship with respect to effectiveness between the
BAU and the MTFR scenario in the calculation of the results The intermediate scenarios
serve to investigate the results of a dedicated approach towards a specific pressure
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
the actual implementation level of the UWWTD the full compliance to this Directive can be
added to this scenario
Plastics scenario
For plastics several EU Directives are currently in place that include measures which affect
plastic littering Recently the EC has published proposals for Directives on improved Port
Reception Facilities (January 2018) and on Single Use Plastics (May 2018) The measures
and impacts of these Directives are part of the dedicated plastics scenario together with
several additional measures that are being implemented or prepared by different member
states Calculations will follow once the JRC modelling train has become operational for this
pressure
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The viewer enables
users to visually inspect the created scenarios as well as the data outcome The overall
scenario workflow and tool functionality is displayed in the figure below
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 9
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operational cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
The BAU is the baseline scenario and additional investments to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of effort (BAU +10 +25 +50 and +75 or
MTFR) or investment (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures is estimated based on linear interpolation
between expected pressures for the BAU and MTFR scenarios
A scenario can be further refined by running the scenario in a specified geographic region
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file The produced outputs in the data base are the inputs to the JRC models Step 7
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 10
1 Preface
This report is one product of the ldquoStudy on European Union (EU) integrated policy
assessment for the freshwater and marine environment on the economic benefits of EU
water policy and on the costs of its non-implementationrdquo (BLUE2) commissioned by the
European Commission (EC) The overall aim of the BLUE2 study is to support the EC in
defining a better path for the development of the EU water acquis with the ultimate goal
to shift the EU towards the green and blue economy
BLUE2 is comprised of two parts as shown in Figure 1
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each
study part
The overall objective of Part A of BLUE2 is to increase the understanding of the full
(economic) value that water and water services generate and how water resources
contribute to economic development and citizens well-being The findings of BLUE2 will
further assist in quantifying how the EU water acquis contributes to this value generation
using the most appropriate valuation techniques
The overall objective of Part B of BLUE2 is to develop a method for the integrated
socio-economic assessment of policies affecting the quality of the freshwater and marine
environment to be applied in connection with the water and marine modelling framework
held by the Commissions Joint Research Centre (JRC) The method and accompanying
tools will be used to support policy development In particular Part B aims to establish an
EU pressures inventory and measures data base Additionally Part B will increase the
understanding of the cost-effectiveness of measures and the benefits arising from a
reduction of pressures on the freshwater and marine environment through the application
of two online modelling tools A Scenario Generation Tool for defining and generating policy
scenarios for JRC modelling and an Evaluation Tool for cost-benefit assessment of the
created scenarios
In this context this report presents the results of Task B3 Task B3 provides the definition
and development of 5 scenarios or policy alternatives to assess the impact of the
European Water Acquis Furthermore a scenario tool is developed that enables defining
and creating policy scenarios from the measures and pressures data bases collected in
Tasks B1 and B2 The created scenarios of measures cost-efficiency are used for further
assessment in JRC modelling and in Task B4 of the BLUE2 Project
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 11
2 Introduction
Within Task B3 of the BLUE2 Project five scenarios or policy alternatives are developed
to assess the impact of several European water-related Directives
- Water Framework Directive (WFD)
- Marine Strategy Framework Directive (MSFD)
- Urban Waste Water Treatment Directive (UWWTD)
- Drinking Water Directive (DWD)
- Nitrates Directive (ND) and
- Industrial Emissions Directive (IED)
The scenarios will serve to guide the Member States in their development of policy
alternatives - to meet the targets set by the different directives - under circumstances
when pressures increase within a catchment area because of increasing pressures from for
example demographic or economic developments Under Task B3 five different policy
scenarios have been developed out of which two are pre-defined namely (1) Business as
Usual (BAU) scenario and (2) Maximum Technically Feasible Reduction (MTFR) scenario
The goal of Task B3 is to provide policy scenarios from which policy makers can select
possible actions (measures) to mitigate existing and potentially increasing pressures that
arise from macro-scale developments (eg population economy climate etc)
Based on the different measures modelled in Task B2 and the economic evaluation
developed in Task B4 this should provide policy makers with a methodology to make a
comparison between the different policy scenarios In order to facilitate the selection of
scenarios a number of underlying macro-level assumptions are herein evaluated and a
selection of indicators for the pressures established
In developing policy scenarios it is essential to have a clear picture of the reference
situation ie where are we starting from and of the policy objective ie where do we
want to go Both should be established according to the timeline (ie what is the starting
point and when do we want to have reached our goal) ndash see also Figure 2 for a graphical
representation of this process Furthermore it needs to be established (1) how external
factors would influence the pressures under consideration (2) what is the effect of possible
policy measures on the pressures and (3) which indicators can be used to measure this
effect (ie dose-effect relations of measures or policy packages) To address these
particular aspects close collaboration with Tasks A3 and B2 has ensued This methodology
will be further elaborated in the next section
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
TABLE OF CONTENTS
EXECUTIVE SUMMARY 7
1 PREFACE 10
2 INTRODUCTION 11
3 METHODOLOGY 12
31 Scenario development 12
32 Description of the five scenarios 15
33 The Scenario Generation Tool 18
34 The Scenario Generation Tool workflow 18
4 REFERENCES 23
5 LIST OF ACRONYMS 24
List of Tables
Table 1 Included measures in the BAU scenario 15
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2 22
List of Figures
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each study part
10
Figure 2 Steps in the scenario development approach 13
Figure 3 Illustration of development of pressures under external drivers and PoM 14
Figure 4 Scenario tool workflow and functionality diagram 19
Figure 5 The Scenario Generation Tool interface 20
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 7
Executive Summary
This report presents the implementation scenarios that were developed in task B3 of the
BLUE2 study The work in task B3 is interconnected with the other three tasks of part B
and with the JRC models for the aquatic environment as illustrated in the scheme below
Task B3 provides five scenarios that DG ENV can use to estimate the effectiveness of
proposed measures The five scenarios are the Business as Usual (BAU) scenario the
Maximum Technically Feasible Reduction (MTFR) scenario and three specific scenarios for
nutrients plastic litter and when sufficient evidence has become available for
contaminants The details of the measures that are included in the scenarios for each of
the pressures (nutrients water abstraction contaminants plastics and fisheries) are
described in task B2 (measures)
The BAU scenario serves as the reference for the scenario comparisons and includes the
measures that the member states have reported in the Programmes of Measures (PoMs)
of the WFD for implementation for the period 2009ndash2015 and the period 2016ndash2021 For
some Member States it also includes the measures from the PoMs for the period 2022ndash
2027
The MTFR scenario is defined as all measures that are currently available to reduce the
pressures under consideration for the waterbodies In the selection and evaluation of these
measures the costs of the measures are not considered The objective of the MTFR
scenario is to illustrate what reduction is maximally obtainable for the pressures under
consideration
In principle the policy space for the implementation of new or additional measures to the
current policy is the difference between the BAU and MTFR scenarios Cost-efficiency and
implementation capacity can thus guide the implementation of measures Achievements of
B1
Database of Pressures
B2
Database of Measures related to
the Pressures
including
CostsImpacts
B3
Scenario definitionsBAU MTFRnutrients
plastic contaminants
B4
Valuation methods
Application to model outputs
Water abstractionNutrients
ContaminantsFisheries
Plastic litter
JRC model runs
LISFLOODGREEN+
MMF
for five scenarios
B3
Scenario tools
B4
Model output database
B4
Result databases
Tools
EU-wide databases
EU Directives and reports
Regional Sea Conventions
EU-funded projects
scientific literature
country specific
information
etc
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 8
the different intermediary scenarios can consequently be obtained from the scenario tool
The scenario tool assumes a linear relationship with respect to effectiveness between the
BAU and the MTFR scenario in the calculation of the results The intermediate scenarios
serve to investigate the results of a dedicated approach towards a specific pressure
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
the actual implementation level of the UWWTD the full compliance to this Directive can be
added to this scenario
Plastics scenario
For plastics several EU Directives are currently in place that include measures which affect
plastic littering Recently the EC has published proposals for Directives on improved Port
Reception Facilities (January 2018) and on Single Use Plastics (May 2018) The measures
and impacts of these Directives are part of the dedicated plastics scenario together with
several additional measures that are being implemented or prepared by different member
states Calculations will follow once the JRC modelling train has become operational for this
pressure
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The viewer enables
users to visually inspect the created scenarios as well as the data outcome The overall
scenario workflow and tool functionality is displayed in the figure below
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 9
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operational cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
The BAU is the baseline scenario and additional investments to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of effort (BAU +10 +25 +50 and +75 or
MTFR) or investment (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures is estimated based on linear interpolation
between expected pressures for the BAU and MTFR scenarios
A scenario can be further refined by running the scenario in a specified geographic region
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file The produced outputs in the data base are the inputs to the JRC models Step 7
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 10
1 Preface
This report is one product of the ldquoStudy on European Union (EU) integrated policy
assessment for the freshwater and marine environment on the economic benefits of EU
water policy and on the costs of its non-implementationrdquo (BLUE2) commissioned by the
European Commission (EC) The overall aim of the BLUE2 study is to support the EC in
defining a better path for the development of the EU water acquis with the ultimate goal
to shift the EU towards the green and blue economy
BLUE2 is comprised of two parts as shown in Figure 1
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each
study part
The overall objective of Part A of BLUE2 is to increase the understanding of the full
(economic) value that water and water services generate and how water resources
contribute to economic development and citizens well-being The findings of BLUE2 will
further assist in quantifying how the EU water acquis contributes to this value generation
using the most appropriate valuation techniques
The overall objective of Part B of BLUE2 is to develop a method for the integrated
socio-economic assessment of policies affecting the quality of the freshwater and marine
environment to be applied in connection with the water and marine modelling framework
held by the Commissions Joint Research Centre (JRC) The method and accompanying
tools will be used to support policy development In particular Part B aims to establish an
EU pressures inventory and measures data base Additionally Part B will increase the
understanding of the cost-effectiveness of measures and the benefits arising from a
reduction of pressures on the freshwater and marine environment through the application
of two online modelling tools A Scenario Generation Tool for defining and generating policy
scenarios for JRC modelling and an Evaluation Tool for cost-benefit assessment of the
created scenarios
In this context this report presents the results of Task B3 Task B3 provides the definition
and development of 5 scenarios or policy alternatives to assess the impact of the
European Water Acquis Furthermore a scenario tool is developed that enables defining
and creating policy scenarios from the measures and pressures data bases collected in
Tasks B1 and B2 The created scenarios of measures cost-efficiency are used for further
assessment in JRC modelling and in Task B4 of the BLUE2 Project
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 11
2 Introduction
Within Task B3 of the BLUE2 Project five scenarios or policy alternatives are developed
to assess the impact of several European water-related Directives
- Water Framework Directive (WFD)
- Marine Strategy Framework Directive (MSFD)
- Urban Waste Water Treatment Directive (UWWTD)
- Drinking Water Directive (DWD)
- Nitrates Directive (ND) and
- Industrial Emissions Directive (IED)
The scenarios will serve to guide the Member States in their development of policy
alternatives - to meet the targets set by the different directives - under circumstances
when pressures increase within a catchment area because of increasing pressures from for
example demographic or economic developments Under Task B3 five different policy
scenarios have been developed out of which two are pre-defined namely (1) Business as
Usual (BAU) scenario and (2) Maximum Technically Feasible Reduction (MTFR) scenario
The goal of Task B3 is to provide policy scenarios from which policy makers can select
possible actions (measures) to mitigate existing and potentially increasing pressures that
arise from macro-scale developments (eg population economy climate etc)
Based on the different measures modelled in Task B2 and the economic evaluation
developed in Task B4 this should provide policy makers with a methodology to make a
comparison between the different policy scenarios In order to facilitate the selection of
scenarios a number of underlying macro-level assumptions are herein evaluated and a
selection of indicators for the pressures established
In developing policy scenarios it is essential to have a clear picture of the reference
situation ie where are we starting from and of the policy objective ie where do we
want to go Both should be established according to the timeline (ie what is the starting
point and when do we want to have reached our goal) ndash see also Figure 2 for a graphical
representation of this process Furthermore it needs to be established (1) how external
factors would influence the pressures under consideration (2) what is the effect of possible
policy measures on the pressures and (3) which indicators can be used to measure this
effect (ie dose-effect relations of measures or policy packages) To address these
particular aspects close collaboration with Tasks A3 and B2 has ensued This methodology
will be further elaborated in the next section
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 7
Executive Summary
This report presents the implementation scenarios that were developed in task B3 of the
BLUE2 study The work in task B3 is interconnected with the other three tasks of part B
and with the JRC models for the aquatic environment as illustrated in the scheme below
Task B3 provides five scenarios that DG ENV can use to estimate the effectiveness of
proposed measures The five scenarios are the Business as Usual (BAU) scenario the
Maximum Technically Feasible Reduction (MTFR) scenario and three specific scenarios for
nutrients plastic litter and when sufficient evidence has become available for
contaminants The details of the measures that are included in the scenarios for each of
the pressures (nutrients water abstraction contaminants plastics and fisheries) are
described in task B2 (measures)
The BAU scenario serves as the reference for the scenario comparisons and includes the
measures that the member states have reported in the Programmes of Measures (PoMs)
of the WFD for implementation for the period 2009ndash2015 and the period 2016ndash2021 For
some Member States it also includes the measures from the PoMs for the period 2022ndash
2027
The MTFR scenario is defined as all measures that are currently available to reduce the
pressures under consideration for the waterbodies In the selection and evaluation of these
measures the costs of the measures are not considered The objective of the MTFR
scenario is to illustrate what reduction is maximally obtainable for the pressures under
consideration
In principle the policy space for the implementation of new or additional measures to the
current policy is the difference between the BAU and MTFR scenarios Cost-efficiency and
implementation capacity can thus guide the implementation of measures Achievements of
B1
Database of Pressures
B2
Database of Measures related to
the Pressures
including
CostsImpacts
B3
Scenario definitionsBAU MTFRnutrients
plastic contaminants
B4
Valuation methods
Application to model outputs
Water abstractionNutrients
ContaminantsFisheries
Plastic litter
JRC model runs
LISFLOODGREEN+
MMF
for five scenarios
B3
Scenario tools
B4
Model output database
B4
Result databases
Tools
EU-wide databases
EU Directives and reports
Regional Sea Conventions
EU-funded projects
scientific literature
country specific
information
etc
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 8
the different intermediary scenarios can consequently be obtained from the scenario tool
The scenario tool assumes a linear relationship with respect to effectiveness between the
BAU and the MTFR scenario in the calculation of the results The intermediate scenarios
serve to investigate the results of a dedicated approach towards a specific pressure
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
the actual implementation level of the UWWTD the full compliance to this Directive can be
added to this scenario
Plastics scenario
For plastics several EU Directives are currently in place that include measures which affect
plastic littering Recently the EC has published proposals for Directives on improved Port
Reception Facilities (January 2018) and on Single Use Plastics (May 2018) The measures
and impacts of these Directives are part of the dedicated plastics scenario together with
several additional measures that are being implemented or prepared by different member
states Calculations will follow once the JRC modelling train has become operational for this
pressure
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The viewer enables
users to visually inspect the created scenarios as well as the data outcome The overall
scenario workflow and tool functionality is displayed in the figure below
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 9
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operational cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
The BAU is the baseline scenario and additional investments to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of effort (BAU +10 +25 +50 and +75 or
MTFR) or investment (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures is estimated based on linear interpolation
between expected pressures for the BAU and MTFR scenarios
A scenario can be further refined by running the scenario in a specified geographic region
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file The produced outputs in the data base are the inputs to the JRC models Step 7
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 10
1 Preface
This report is one product of the ldquoStudy on European Union (EU) integrated policy
assessment for the freshwater and marine environment on the economic benefits of EU
water policy and on the costs of its non-implementationrdquo (BLUE2) commissioned by the
European Commission (EC) The overall aim of the BLUE2 study is to support the EC in
defining a better path for the development of the EU water acquis with the ultimate goal
to shift the EU towards the green and blue economy
BLUE2 is comprised of two parts as shown in Figure 1
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each
study part
The overall objective of Part A of BLUE2 is to increase the understanding of the full
(economic) value that water and water services generate and how water resources
contribute to economic development and citizens well-being The findings of BLUE2 will
further assist in quantifying how the EU water acquis contributes to this value generation
using the most appropriate valuation techniques
The overall objective of Part B of BLUE2 is to develop a method for the integrated
socio-economic assessment of policies affecting the quality of the freshwater and marine
environment to be applied in connection with the water and marine modelling framework
held by the Commissions Joint Research Centre (JRC) The method and accompanying
tools will be used to support policy development In particular Part B aims to establish an
EU pressures inventory and measures data base Additionally Part B will increase the
understanding of the cost-effectiveness of measures and the benefits arising from a
reduction of pressures on the freshwater and marine environment through the application
of two online modelling tools A Scenario Generation Tool for defining and generating policy
scenarios for JRC modelling and an Evaluation Tool for cost-benefit assessment of the
created scenarios
In this context this report presents the results of Task B3 Task B3 provides the definition
and development of 5 scenarios or policy alternatives to assess the impact of the
European Water Acquis Furthermore a scenario tool is developed that enables defining
and creating policy scenarios from the measures and pressures data bases collected in
Tasks B1 and B2 The created scenarios of measures cost-efficiency are used for further
assessment in JRC modelling and in Task B4 of the BLUE2 Project
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 11
2 Introduction
Within Task B3 of the BLUE2 Project five scenarios or policy alternatives are developed
to assess the impact of several European water-related Directives
- Water Framework Directive (WFD)
- Marine Strategy Framework Directive (MSFD)
- Urban Waste Water Treatment Directive (UWWTD)
- Drinking Water Directive (DWD)
- Nitrates Directive (ND) and
- Industrial Emissions Directive (IED)
The scenarios will serve to guide the Member States in their development of policy
alternatives - to meet the targets set by the different directives - under circumstances
when pressures increase within a catchment area because of increasing pressures from for
example demographic or economic developments Under Task B3 five different policy
scenarios have been developed out of which two are pre-defined namely (1) Business as
Usual (BAU) scenario and (2) Maximum Technically Feasible Reduction (MTFR) scenario
The goal of Task B3 is to provide policy scenarios from which policy makers can select
possible actions (measures) to mitigate existing and potentially increasing pressures that
arise from macro-scale developments (eg population economy climate etc)
Based on the different measures modelled in Task B2 and the economic evaluation
developed in Task B4 this should provide policy makers with a methodology to make a
comparison between the different policy scenarios In order to facilitate the selection of
scenarios a number of underlying macro-level assumptions are herein evaluated and a
selection of indicators for the pressures established
In developing policy scenarios it is essential to have a clear picture of the reference
situation ie where are we starting from and of the policy objective ie where do we
want to go Both should be established according to the timeline (ie what is the starting
point and when do we want to have reached our goal) ndash see also Figure 2 for a graphical
representation of this process Furthermore it needs to be established (1) how external
factors would influence the pressures under consideration (2) what is the effect of possible
policy measures on the pressures and (3) which indicators can be used to measure this
effect (ie dose-effect relations of measures or policy packages) To address these
particular aspects close collaboration with Tasks A3 and B2 has ensued This methodology
will be further elaborated in the next section
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 8
the different intermediary scenarios can consequently be obtained from the scenario tool
The scenario tool assumes a linear relationship with respect to effectiveness between the
BAU and the MTFR scenario in the calculation of the results The intermediate scenarios
serve to investigate the results of a dedicated approach towards a specific pressure
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
the actual implementation level of the UWWTD the full compliance to this Directive can be
added to this scenario
Plastics scenario
For plastics several EU Directives are currently in place that include measures which affect
plastic littering Recently the EC has published proposals for Directives on improved Port
Reception Facilities (January 2018) and on Single Use Plastics (May 2018) The measures
and impacts of these Directives are part of the dedicated plastics scenario together with
several additional measures that are being implemented or prepared by different member
states Calculations will follow once the JRC modelling train has become operational for this
pressure
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The viewer enables
users to visually inspect the created scenarios as well as the data outcome The overall
scenario workflow and tool functionality is displayed in the figure below
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 9
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operational cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
The BAU is the baseline scenario and additional investments to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of effort (BAU +10 +25 +50 and +75 or
MTFR) or investment (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures is estimated based on linear interpolation
between expected pressures for the BAU and MTFR scenarios
A scenario can be further refined by running the scenario in a specified geographic region
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file The produced outputs in the data base are the inputs to the JRC models Step 7
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 10
1 Preface
This report is one product of the ldquoStudy on European Union (EU) integrated policy
assessment for the freshwater and marine environment on the economic benefits of EU
water policy and on the costs of its non-implementationrdquo (BLUE2) commissioned by the
European Commission (EC) The overall aim of the BLUE2 study is to support the EC in
defining a better path for the development of the EU water acquis with the ultimate goal
to shift the EU towards the green and blue economy
BLUE2 is comprised of two parts as shown in Figure 1
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each
study part
The overall objective of Part A of BLUE2 is to increase the understanding of the full
(economic) value that water and water services generate and how water resources
contribute to economic development and citizens well-being The findings of BLUE2 will
further assist in quantifying how the EU water acquis contributes to this value generation
using the most appropriate valuation techniques
The overall objective of Part B of BLUE2 is to develop a method for the integrated
socio-economic assessment of policies affecting the quality of the freshwater and marine
environment to be applied in connection with the water and marine modelling framework
held by the Commissions Joint Research Centre (JRC) The method and accompanying
tools will be used to support policy development In particular Part B aims to establish an
EU pressures inventory and measures data base Additionally Part B will increase the
understanding of the cost-effectiveness of measures and the benefits arising from a
reduction of pressures on the freshwater and marine environment through the application
of two online modelling tools A Scenario Generation Tool for defining and generating policy
scenarios for JRC modelling and an Evaluation Tool for cost-benefit assessment of the
created scenarios
In this context this report presents the results of Task B3 Task B3 provides the definition
and development of 5 scenarios or policy alternatives to assess the impact of the
European Water Acquis Furthermore a scenario tool is developed that enables defining
and creating policy scenarios from the measures and pressures data bases collected in
Tasks B1 and B2 The created scenarios of measures cost-efficiency are used for further
assessment in JRC modelling and in Task B4 of the BLUE2 Project
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 11
2 Introduction
Within Task B3 of the BLUE2 Project five scenarios or policy alternatives are developed
to assess the impact of several European water-related Directives
- Water Framework Directive (WFD)
- Marine Strategy Framework Directive (MSFD)
- Urban Waste Water Treatment Directive (UWWTD)
- Drinking Water Directive (DWD)
- Nitrates Directive (ND) and
- Industrial Emissions Directive (IED)
The scenarios will serve to guide the Member States in their development of policy
alternatives - to meet the targets set by the different directives - under circumstances
when pressures increase within a catchment area because of increasing pressures from for
example demographic or economic developments Under Task B3 five different policy
scenarios have been developed out of which two are pre-defined namely (1) Business as
Usual (BAU) scenario and (2) Maximum Technically Feasible Reduction (MTFR) scenario
The goal of Task B3 is to provide policy scenarios from which policy makers can select
possible actions (measures) to mitigate existing and potentially increasing pressures that
arise from macro-scale developments (eg population economy climate etc)
Based on the different measures modelled in Task B2 and the economic evaluation
developed in Task B4 this should provide policy makers with a methodology to make a
comparison between the different policy scenarios In order to facilitate the selection of
scenarios a number of underlying macro-level assumptions are herein evaluated and a
selection of indicators for the pressures established
In developing policy scenarios it is essential to have a clear picture of the reference
situation ie where are we starting from and of the policy objective ie where do we
want to go Both should be established according to the timeline (ie what is the starting
point and when do we want to have reached our goal) ndash see also Figure 2 for a graphical
representation of this process Furthermore it needs to be established (1) how external
factors would influence the pressures under consideration (2) what is the effect of possible
policy measures on the pressures and (3) which indicators can be used to measure this
effect (ie dose-effect relations of measures or policy packages) To address these
particular aspects close collaboration with Tasks A3 and B2 has ensued This methodology
will be further elaborated in the next section
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 9
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operational cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
The BAU is the baseline scenario and additional investments to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of effort (BAU +10 +25 +50 and +75 or
MTFR) or investment (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures is estimated based on linear interpolation
between expected pressures for the BAU and MTFR scenarios
A scenario can be further refined by running the scenario in a specified geographic region
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file The produced outputs in the data base are the inputs to the JRC models Step 7
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 10
1 Preface
This report is one product of the ldquoStudy on European Union (EU) integrated policy
assessment for the freshwater and marine environment on the economic benefits of EU
water policy and on the costs of its non-implementationrdquo (BLUE2) commissioned by the
European Commission (EC) The overall aim of the BLUE2 study is to support the EC in
defining a better path for the development of the EU water acquis with the ultimate goal
to shift the EU towards the green and blue economy
BLUE2 is comprised of two parts as shown in Figure 1
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each
study part
The overall objective of Part A of BLUE2 is to increase the understanding of the full
(economic) value that water and water services generate and how water resources
contribute to economic development and citizens well-being The findings of BLUE2 will
further assist in quantifying how the EU water acquis contributes to this value generation
using the most appropriate valuation techniques
The overall objective of Part B of BLUE2 is to develop a method for the integrated
socio-economic assessment of policies affecting the quality of the freshwater and marine
environment to be applied in connection with the water and marine modelling framework
held by the Commissions Joint Research Centre (JRC) The method and accompanying
tools will be used to support policy development In particular Part B aims to establish an
EU pressures inventory and measures data base Additionally Part B will increase the
understanding of the cost-effectiveness of measures and the benefits arising from a
reduction of pressures on the freshwater and marine environment through the application
of two online modelling tools A Scenario Generation Tool for defining and generating policy
scenarios for JRC modelling and an Evaluation Tool for cost-benefit assessment of the
created scenarios
In this context this report presents the results of Task B3 Task B3 provides the definition
and development of 5 scenarios or policy alternatives to assess the impact of the
European Water Acquis Furthermore a scenario tool is developed that enables defining
and creating policy scenarios from the measures and pressures data bases collected in
Tasks B1 and B2 The created scenarios of measures cost-efficiency are used for further
assessment in JRC modelling and in Task B4 of the BLUE2 Project
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 11
2 Introduction
Within Task B3 of the BLUE2 Project five scenarios or policy alternatives are developed
to assess the impact of several European water-related Directives
- Water Framework Directive (WFD)
- Marine Strategy Framework Directive (MSFD)
- Urban Waste Water Treatment Directive (UWWTD)
- Drinking Water Directive (DWD)
- Nitrates Directive (ND) and
- Industrial Emissions Directive (IED)
The scenarios will serve to guide the Member States in their development of policy
alternatives - to meet the targets set by the different directives - under circumstances
when pressures increase within a catchment area because of increasing pressures from for
example demographic or economic developments Under Task B3 five different policy
scenarios have been developed out of which two are pre-defined namely (1) Business as
Usual (BAU) scenario and (2) Maximum Technically Feasible Reduction (MTFR) scenario
The goal of Task B3 is to provide policy scenarios from which policy makers can select
possible actions (measures) to mitigate existing and potentially increasing pressures that
arise from macro-scale developments (eg population economy climate etc)
Based on the different measures modelled in Task B2 and the economic evaluation
developed in Task B4 this should provide policy makers with a methodology to make a
comparison between the different policy scenarios In order to facilitate the selection of
scenarios a number of underlying macro-level assumptions are herein evaluated and a
selection of indicators for the pressures established
In developing policy scenarios it is essential to have a clear picture of the reference
situation ie where are we starting from and of the policy objective ie where do we
want to go Both should be established according to the timeline (ie what is the starting
point and when do we want to have reached our goal) ndash see also Figure 2 for a graphical
representation of this process Furthermore it needs to be established (1) how external
factors would influence the pressures under consideration (2) what is the effect of possible
policy measures on the pressures and (3) which indicators can be used to measure this
effect (ie dose-effect relations of measures or policy packages) To address these
particular aspects close collaboration with Tasks A3 and B2 has ensued This methodology
will be further elaborated in the next section
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 10
1 Preface
This report is one product of the ldquoStudy on European Union (EU) integrated policy
assessment for the freshwater and marine environment on the economic benefits of EU
water policy and on the costs of its non-implementationrdquo (BLUE2) commissioned by the
European Commission (EC) The overall aim of the BLUE2 study is to support the EC in
defining a better path for the development of the EU water acquis with the ultimate goal
to shift the EU towards the green and blue economy
BLUE2 is comprised of two parts as shown in Figure 1
Figure 1 The BLUE2 study Part A and Part B and the defined tasks under each
study part
The overall objective of Part A of BLUE2 is to increase the understanding of the full
(economic) value that water and water services generate and how water resources
contribute to economic development and citizens well-being The findings of BLUE2 will
further assist in quantifying how the EU water acquis contributes to this value generation
using the most appropriate valuation techniques
The overall objective of Part B of BLUE2 is to develop a method for the integrated
socio-economic assessment of policies affecting the quality of the freshwater and marine
environment to be applied in connection with the water and marine modelling framework
held by the Commissions Joint Research Centre (JRC) The method and accompanying
tools will be used to support policy development In particular Part B aims to establish an
EU pressures inventory and measures data base Additionally Part B will increase the
understanding of the cost-effectiveness of measures and the benefits arising from a
reduction of pressures on the freshwater and marine environment through the application
of two online modelling tools A Scenario Generation Tool for defining and generating policy
scenarios for JRC modelling and an Evaluation Tool for cost-benefit assessment of the
created scenarios
In this context this report presents the results of Task B3 Task B3 provides the definition
and development of 5 scenarios or policy alternatives to assess the impact of the
European Water Acquis Furthermore a scenario tool is developed that enables defining
and creating policy scenarios from the measures and pressures data bases collected in
Tasks B1 and B2 The created scenarios of measures cost-efficiency are used for further
assessment in JRC modelling and in Task B4 of the BLUE2 Project
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 11
2 Introduction
Within Task B3 of the BLUE2 Project five scenarios or policy alternatives are developed
to assess the impact of several European water-related Directives
- Water Framework Directive (WFD)
- Marine Strategy Framework Directive (MSFD)
- Urban Waste Water Treatment Directive (UWWTD)
- Drinking Water Directive (DWD)
- Nitrates Directive (ND) and
- Industrial Emissions Directive (IED)
The scenarios will serve to guide the Member States in their development of policy
alternatives - to meet the targets set by the different directives - under circumstances
when pressures increase within a catchment area because of increasing pressures from for
example demographic or economic developments Under Task B3 five different policy
scenarios have been developed out of which two are pre-defined namely (1) Business as
Usual (BAU) scenario and (2) Maximum Technically Feasible Reduction (MTFR) scenario
The goal of Task B3 is to provide policy scenarios from which policy makers can select
possible actions (measures) to mitigate existing and potentially increasing pressures that
arise from macro-scale developments (eg population economy climate etc)
Based on the different measures modelled in Task B2 and the economic evaluation
developed in Task B4 this should provide policy makers with a methodology to make a
comparison between the different policy scenarios In order to facilitate the selection of
scenarios a number of underlying macro-level assumptions are herein evaluated and a
selection of indicators for the pressures established
In developing policy scenarios it is essential to have a clear picture of the reference
situation ie where are we starting from and of the policy objective ie where do we
want to go Both should be established according to the timeline (ie what is the starting
point and when do we want to have reached our goal) ndash see also Figure 2 for a graphical
representation of this process Furthermore it needs to be established (1) how external
factors would influence the pressures under consideration (2) what is the effect of possible
policy measures on the pressures and (3) which indicators can be used to measure this
effect (ie dose-effect relations of measures or policy packages) To address these
particular aspects close collaboration with Tasks A3 and B2 has ensued This methodology
will be further elaborated in the next section
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 11
2 Introduction
Within Task B3 of the BLUE2 Project five scenarios or policy alternatives are developed
to assess the impact of several European water-related Directives
- Water Framework Directive (WFD)
- Marine Strategy Framework Directive (MSFD)
- Urban Waste Water Treatment Directive (UWWTD)
- Drinking Water Directive (DWD)
- Nitrates Directive (ND) and
- Industrial Emissions Directive (IED)
The scenarios will serve to guide the Member States in their development of policy
alternatives - to meet the targets set by the different directives - under circumstances
when pressures increase within a catchment area because of increasing pressures from for
example demographic or economic developments Under Task B3 five different policy
scenarios have been developed out of which two are pre-defined namely (1) Business as
Usual (BAU) scenario and (2) Maximum Technically Feasible Reduction (MTFR) scenario
The goal of Task B3 is to provide policy scenarios from which policy makers can select
possible actions (measures) to mitigate existing and potentially increasing pressures that
arise from macro-scale developments (eg population economy climate etc)
Based on the different measures modelled in Task B2 and the economic evaluation
developed in Task B4 this should provide policy makers with a methodology to make a
comparison between the different policy scenarios In order to facilitate the selection of
scenarios a number of underlying macro-level assumptions are herein evaluated and a
selection of indicators for the pressures established
In developing policy scenarios it is essential to have a clear picture of the reference
situation ie where are we starting from and of the policy objective ie where do we
want to go Both should be established according to the timeline (ie what is the starting
point and when do we want to have reached our goal) ndash see also Figure 2 for a graphical
representation of this process Furthermore it needs to be established (1) how external
factors would influence the pressures under consideration (2) what is the effect of possible
policy measures on the pressures and (3) which indicators can be used to measure this
effect (ie dose-effect relations of measures or policy packages) To address these
particular aspects close collaboration with Tasks A3 and B2 has ensued This methodology
will be further elaborated in the next section
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 12
3 Methodology
31 Scenario development
The goal of Task B3 is to provide a number of scenarios that the Directorate-General for
the Environment (DG ENV) can use to estimate the effectiveness of measures aimed at
achieving current policy goals and mitigating increasing pressures that arise from macro-
scale developments (eg population economy climate land-use etc) Task B3 has
furthermore developed a scenario generator tool to translate these scenario assumptions
into input data for the JRC models drawing upon the data bases developed in Tasks B1
and B2
When developing policy scenarios the first aspects to be resolved are the establishment
of the baseline of all pressures under consideration and an inventory of all measures that
are part of the currently approved and implemented policies - which would typically
comprise commitments up to 2021+ - along with budgets for the different Member States
This scenario is defined as the BAU scenario
The quantification of the policy scenarios was done through a number of successive steps
as shown in Figure 2 These steps are necessary to get a realistic evaluation of the
scenarios and their impact on the pressures as defined within the BLUE2 project A planning
horizon up to (approximately) 2040 was chosen The development of the drivers will be
taken from sources like the Ageing study (EU 2015)1 and developments as presented in
the CAPRI2 project as included in the JRC models External macro-scale changes such as
climate change and socio-economic developments are incorporated in the LISFLOOD
model In this model historical climate scenarios (1981-2010) and future projections
(2011- 2100) from 11 EURO-CORDEX climate projections under the RCP85 emissions
pathways3 were used to drive the hydrological calculations4 Changes in land-use are based
on the LUISA reference land use projections 2010-2050 Relevant regional inputs in
LISFLOOD are Eurostat for population projections (EUROPOP 2011 scenario) and GEM-E3
for economic projections Furthermore both water demand and availability are changing
dynamically in space and time due to a variety of factors like land use economic
population and climate changes This is taken into account through downscaling national
demographic projection numbers to achieve a higher spatial granularity resulting in the
projected spatial changes in population between 2010 and 2050
1 httpeceuropaeueconomy_financepublicationseuropean_economy2015pdfee3_enpdf
2 httpwwwcapri-modelorgdokuwikidokuphp
3 Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
4 Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De Roo A Impact of a changing climate land use and water usage on Europersquos water resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018 ISBN 978-92-79-80287-4 doi102760847068 JRC110927
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 13
Figure 2 Steps in the scenario development approach
The calculation of the BAU scenario is based on the Programme of Measures (PoMs) as
reported by the Member States for the combined Directives The reported measures are
compiled in a data base developed under Task B2 of this BLUE2 Project the effect of which
is modelled by the relevant models at JRC LISFLOOD GREEN+ and MMF
After establishing the development of the pressures under the changing external factors
the effects of the PoMs are assessed The PoMs will provide the measures in the different
Key Type Measures (KTM) categories for each of the Member States Currently the PoMs
for the first River Basin Management Plans (RBMP) are available for the period 2009ndash2015
which are assumed to be already implemented as are the PoMs for the second River Basin
Management Plans (RBMP2) for the period 2016ndash2021 for which implementation is
currently ongoing The BAU is formulated based on these PoMs as reported by the different
Member States together with the KTMs and more detailed measures as reported in the
RBMP This process is illustrated by Figure 3
In Figure 3 the baseline increase of the pressures is represented by the red line ldquoBaseline
of pressuresrdquo Meanwhile the level of effort under the PoMs and the resulting decrease in
pressures is represented in Figure 3 through the black line ldquolevel of effortrdquo PoM1 PoM2
and PoM3 (the BAU scenario) Finally the orange line ldquoactual status of pressurerdquo represents
the effect of the PoM on the pressures As the PoM are only defined up to 202127 the
pressures would increase again as a result of the external developments if no additional
measures were to be implemented Consequently in the absence of implementation of
relevant measures under existing policies for the reduction of the pressures the result
would be an increasing level of pressures as is illustrated in the orange line ldquoBAUrdquo for the
period after 2027 However when measures will continue to be implemented ongoing
reduction of the pressures would continue The maximum obtainable reduction would be
when all measures under the MTFR would be implemented (the MTFR scenario) as
illustrated by the orange line ldquoMTFRrdquo The reduction of pressures of any intermediate policy
scenario would by definition be between the BAU and MTFR scenarios
A key issue that has to be addressed is the fact that the costs of the measures are only
reported as one aggregated number per River Basin This total must be disaggregated in
order to obtain estimated investments at KTM level Details of the disaggregation process
are explained in Task B2
Measures included in the BAU for each MS are assumed to be targeted at the reduction of
the reported pressures When insufficient data is available on detailed measures in a
Member State the extrapolated budget (into RBMP3) is used to target measures at
pressures reported to be underperforming in the specific Member State There might be
some inadvertent bias towards measures for eutrophication reduction of contaminants and
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 14
water abstraction as these are the pressures that are most prominently addressed within
the BLUE2 Project This will be avoided as far as possible however at this stage this bias
is difficult to avoid as no impact assessment will be made of other pressures In the future
this bias is easily overturned when additional pressures will be included in the impact
assessment
The impact assessment for the pressures will be absolute in terms of loads average
concentrations or quantity of water abstracted At present no insights into the actual status
of water bodies can be provided as the currently reported level of information regarding
KTMs and sub-measures is insufficiently detailed The ambition is to provide achievements
of the implemented PoMs and policy scenarios per Member State and (sub) river basin
catchment area
Figure 3 Illustration of development of pressures under external drivers and PoM
Next to the BAU an extreme scenario (ie the MTFR scenario) was defined by selecting all
measures that are currently available to reduce the pressures on the waterbodies In the
selection of the measures for the MTFR scenario costs are not considered The sole
objective of the MTFR scenario is to illustrate what is the maximum reduction possible
when applying all measures currently available Just like the BAU scenario the MTFR
scenario will be geared towards measures that have an impact on the selected pressures
As the MTFR scenario is defined as the scenario in which all technically feasible measures
are applied irrespective of costs this opens up some issues for discussion eg can we
assume zero-emission or assume zero-emission from point sources and reduced emissions
from diffuse sources Should we for example include ldquoinnovativerdquo measures like
widespread adaptation of organic farming or only include types of measures that are
already included in present PoMs
In a workshop that was held in Brussels on 6th February 2018 the BLUE2 Project Team
discussed the principles under which the MTFR policy scenarios could be designed There
was consensus that the MTFR scenario should also include innovative measures as long
as these have been proven on a TRL7 level not looking at current or future
implementation costs In Table 5 (see Section 34) the measures which have been included
in the MTFR scenario are provided
It should be noted however that the challenge in the establishment of the scenarios is to
reconcile the impact of the measures with the actual ldquostatusrdquo of the pressure ie that the
quantity of measures is in accordance with the level of the pressure in the catchment area
When insufficient information exists on the pressure(s) from the perspective of a specific
catchment area it might prove difficult to program an adequate or sufficient quantity of a
measure especially in the MTFR scenario This uncertainty may lead to under- or over-
programming of a (number of) KTMs
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 15
32 Description of the five scenarios
In this section a short description of the different implementation scenarios is provided
including the measures that would be typically included for each scenario The BAU scenario
serves as the reference baseline for the scenario comparison and consists of the measures
that the Member States have reported in the PoM for implementation The other scenarios
are described in relation to their differences (ie additional measures implemented) to the
BAU scenario For the BAU scenario the measures are assumed to be implemented
consistently over the different Member States with the actual number of measures and
costs being provided in the Task B2 report This chapter as such only describes the
measures that are to be implemented under a specific scenario and does not differentiate
between the different Member States In addition to the BAU scenario there are the MTFR
and three intermediate scenarios
The goal of the MTFR scenario is to investigate the reduction of the pressures if all
measures that are technically feasible would be implemented without looking at the actual
costs of implementation In principle this would mean that there would be a policy space
for the implementation of measures between the BAU and the MTFR scenarios Cost-
efficiency and implementation capacity would thus guide the implementation of measures
Achievements of the different intermediary scenarios can be obtained from the scenario
tool which assumes a linear relationship with respect to effectiveness between the BAU
and the MTFR scenario The intermediate scenarios serve to investigate the achievement
of a dedicated approach towards a specific pressure
Below the scenarios are described in some more detail
BAU
The ldquobusiness as usualrdquo scenario consists of the measures that the different Member States
have reported for implementation in the PoM for the period 2009ndash2015 and the period
2016ndash2021 For some Member States it also includes the measures from the PoM for the
period 2022ndash2027 when these have been reported The actual measures that are included
in the BAU scenario vary significantly by Member State and are described in detail in the
Task B2 report With respect to the measures under the UWWTD full compliance for all
Member States has been assumed However the current implementation of measures
under the UWWTD would suggest that full compliance would in actuality be very difficult
to achieve within the remaining period Thus the question remains whether this will
warrant an adjustment of the BAU scenario The BAU serves as the reference scenario no
additional measures other than those that are described in the PoMs are included
Table 1 Included measures in the BAU scenario
Pressure Measures
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter BAU
Fisheries BAU
Nutrients scenario
In the nutrients scenario the focus is on reduction of the nutrient loads through the
reduction of (diffuse) emissions from agriculture ie the focus is on the singular measure
to reduce fertiliser input (for agriculture) of N to 170 kgha Furthermore depending on
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 16
the actual implementation level of the UWWTD the full compliance to this directive can be
added to this scenario
Table 2 Included measures in the Nutrients scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients bull Full compliance UWWTD () bull Reducing manure application to 170 kg
Nha in all Nitrates Vulnerable Zones
UWWTD Depending on definition of the BAU
Contaminants BAU
Plastic litter BAU
Fisheries
Plastics scenario
For plastics several EU-wide Directives are currently in place that include measures which
affect plastic littering The impacts of these measures on the loads entering the aquatic
environment are as yet not clear This requires detailed analyses as outlined in the Task
B1 report and in ICF and Eunomia (2018) which may be adopted by the JRC models
Adaptations to the JRC models to enable them to make calculations for these loads are in
preparation An overview of the most prominent measures at EU level that are included in
these Directives is included in the separate excel file plastic litter_scenario inputdata
sheet Measures per scenario Annex to the B2 report
Recently the EC has published proposals for Directives on Single Use Plastics5 (May 2018)
and improved Port Reception Facilities6 (January 2018) These Directives have not yet been
adopted but their expected impacts have been calculated by ICFEunomia These
measures and impacts can be fed into the plastics scenario together with several additional
measures that are being implemented or prepared by different Member States (for an
overview see Chapter 4 of the Task B2 report)
5 httpseceuropaeucommissionnewssingle-use-plastics-2018-may-28_en
6 httpseceuropaeutransportmodesmaritimenews2018-01-16-plastic-waste_en
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 17
Table 3 Included measures in the Plastic litter BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants BAU
Plastic litter
bull Implementation of proposed Directives for Single Use Plastics and improved
Port Reception Facilities bull EU-wide implementation of fishing for
litter and beach cleaning
Implementation pending while JRC models are made fit
Fisheries
Contaminants scenario
To date it has not been possible to establish a practical methodology to characterise the
current situation nor to properly define a contaminants BAU scenario and identify
measures that could be included in a MTFR or intermediate scenario This has led to the
provisional conclusion that currently no measures can be defined nor effects modelled
Table 4 Included measures in the Contaminants BAU scenario
Pressure Measures Comments
Water Abstraction BAU
Nutrients BAU
Contaminants bull
No quantifiable scenario possible at the moment
Plastic litter BAU
Fisheries
MTFR scenario
The MTFR scenario investigates the reduction of the pressures if all measures that are
technically feasible is implemented without looking at the actual costs of implementation
The included measures for the five investigate pressures are shown in Table 4 In relation
to the measures concerning Urban Waste Water Treatment Plants (UWWTPs) there is an
outstanding issue on the inclusion of agglomerations smaller than 2000 population
equivalent (PE) with three stage treatment
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 18
Table 5 Included measures in the five investigated pressuresrsquo MTFR scenarios
Pressure Measures Comments
Water Abstraction bull Full conversion from surface to sprinkler
drip irrigation bull Network losses for drinking water
reduced to 5
Nutrients
bull NP removal in all UWWTP bull Reducing N surplus (input minus output)
to reach target levels bull Full implementation of separate
networks for rainwater and sewage
Possible difference between BLUE2 Task B2 and JRC (all ndashBLUE2- or only above 2000 PE
ndashJRC-)
Contaminants bull
Plastic litter
bull measures included in the BAU scenario
implemented EU-wide
bull measures included in the plastics
scenario ie implementation of SUP and
PRF Directives and of national
regulations
bull increased ambition levels for all relevant EU regulations (Waste Framework Directive Packaging and Packaging
Waste Directive including Plastic Bags Directive Circular Economy Package etc)
Fisheries To be defined at a later stage
33 The Scenario Generation Tool
The scenario generation tool enables the definition and creation of policy scenarios as well
as the ability to export these scenarios to the JRC modelling setup The scenario generation
tool is developed in an open source environment based on a PostgreSQLPostGIS data
base a python toolbox with functions to define and create new scenarios for the JRC
modelling team and a viewer (BLUE2 web portal) based on the open source software
(OpenEarth) framework called ldquoDeltares Data Viewerrdquo (by Deltares) The viewer enables
users to visually inspect the created scenarios as well as the data outcome as csv files
During the BLUE2 Project it was decided to incorporate both the scenario generation tool
and the scenario evaluation tool (Task B4) within this same software framework the BLUE2
web portal The scenario evaluation is described in Task B4 and as such will not be further
described here
34 The Scenario Generation Tool workflow
The overall scenario workflow and tool functionality is displayed in Figure 4 The figure
shows the setup for 3 measures already implemented and accessible online on the BLUE2
web portal The data base and scenario generator will be expanded with more measures
and exported to JRC upon finalisation of the BLUE2 study
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 19
Figure 4 Scenario tool workflow and functionality diagram
The data collection and development of the BAU and MTFR scenarios (Steps 1 and 2) have
been described in detail in the Task B2 report and in paragraph 32 of this Task B3 report
The data stored in the data base (Step 3) includes the programmed costs (PoMs private
and public investments and operations cost) and the performance improvement (load
reduction andor relative efficiency) in the BAU and the MTFR scenarios (Steps 1 2 and
3) The BAU and MTFR scenarios have been selected as the lower and upper limits of
investment respectively for possible future scenarios When calculating the percentage
reduction of water abstraction resulting from improvement of the irrigation networks (ie
reduction of losses) the scenario draws on the following data from the data base
bull Public Investment BAU 2016-2027
bull Private Investment BAU 2016-2027
bull Operation BAU 2016-2027
bull Performance improvement BAU
bull Surface improvement BAU 2016-2027 (ha)
bull Public Investment MTFR 2016-2027
bull Private Investment MTFR 2016-2027 private
bull Operation MTFR 2016-2027
bull Performance improvement MTFR
bull Surface improvement MTFR 2016-2027 (ha)
When defining a scenario Step 4 the reduction in the targeted pressures (either relative
() load or area) is calculated using a linear interpolation between the calculated outcome
for the BAU and MTFR scenario costs and performance improvements for the specific
measure and the related pressure
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 20
The BAU is the baseline scenario and additional investment to the BAU (investment +
operational cost) are used to define and create new scenarios With the generation tool it
is possible to select a pre-defined level of investment (BAU +10 +25 +50 and
+75 or MTFR) or amount (euro) and calculate the reduction in pressures for that scenario
Additional pre-defined scenarios are available for the assessment of the nutrient loads from
UWWTPs describing the BAU + full compliance with the UWWTD scenario reduction of
manure application to 170 kg Nha in all Nitrates Vulnerable Zones and plastics litter
scenario The calculated reduction in pressures are rough estimates based on linear
interpolation between expected pressures for the BAU and MTFR scenarios
A scenario can include different levels of investment between the available measures Step
6 see Figure 5
Figure 5 The Scenario Generation Tool interface
A scenario can be further refined by running the scenario in a specified geographic region
The following geographical regions will be selectable
Selection by Member State
Selection by river basin (RB)
Selection by regional sea (including all river basins that drain into it)
Selection by sub-regional entity (multiple Member States) and all RB that drain into
it
Although at present the data is not available at RB level the function to select river basins
or regional seas or sub-regional entities and all RBs that drain into it has been built into
the tool for future functionality This has been conducted by creating a relationship between
the marine regions and the RBs in the data base
Once the scenario tool has been run Step 6 the results can be visualised in the viewer
and a data and metadata output is created The scenario output data and metadata are
saved in the data base The data can be readily downloaded for further inspection as csv
file To limit the size of the data base the scenario output data can be cleared occasionally
It is always possible to reproduce a scenario via the information in the metadata
The tool always runs the scenario on the smallest geographical unit available This means
that although the Viewer can display the data at Member State level the data will be
aggregated from NUTS2 in case this is the smallest unit available This has been chosen in
order to provide data on the finest scale to the JRC modelling The viewer can visualize
data on whichever scale available (EU Member State NUTS2 NUTS3 RB)
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 21
The scenario tool provides different outputs per measure
For scenarios on irrigation water savings five results are currently available
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total irrigation efficiency ()
Estimated improved surface area (ha)
For scenarios on urban water savings
Investment distribution (EUR)
Additional operation cost (EURyear)
Performance improvement ()
Total urban water abstraction efficiency ()
Estimated population equivalent improvement (residents)
For scenarios on waste water nutrient load
Waste water treatment investment distribution (EUR)
UWWTD additional operation cost (EURyear)
BOD5 load (kgday)
Nitrogen load (kgday)
Phosphorous load (kgday)
BOD5 efficiency ()
Nitrogen efficiency ()
Phosphorous efficiency ()
For scenarios on combined sewer overflow nutrient load
Investment distribution (EUR)
Additional operation cost (EURyear)
The produced outputs in the data base are the inputs to the JRC models Step 7 The tool
can provide spatial outputs such as shapefiles but the key to JRC models is the reference
to the spatial unit such as NUTS2 regions A Comma Separated Values (csv) text file can
be extracted with cost and relative efficiency or reduction in loads The output thereby
provides a first order cost-efficiency of the investments
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 22
Table 2 Measures included in the MTFR for the 5 pressures used in BLUE2
BAU MTFR Intermediate scenarios Comments
land-based measuresWater abstraction
Water savings in
agricul ture
Investment in water efficiency (focus area under the RDP)
dis tributed at NUTS2 level
Ful l convers ion of surface to sprinkler drip i rrigation
(depending on current crop dis tribution and sui tabi l i ty)
Di fferent levels of intens i ty are poss ible
Water savings in
urban supply
Estimates taking into account WBs exempted because of
water abstraction for urban supply
Network losses reduced to 5 (benchmark equal to current
s tatus in the Netherlands)
Di fferent levels of intens i ty are poss ible BAU assumption is weak
Water savings in
industry
Water savings in
cool ing (thermal
energy)
No additional measures to reduce water abstraction
consumption (based on energy production trend)
Some poss ible improvements are mentioned but cost-
outcomes not quanti fied
Wastewater reuseCurrent s tatus + new projects in Spain (according to DGENV
studies no relevant action expected in other MS)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC might be considered for MTFR
Seawater
desa l ination
Current s tatus + new projects in Spain (no relevant
development ini tiative in other MS has been identi fied)
Suggested in coasta l areas where WBs are not meeting good
quanti tative s tatus eflows Not implemented (see
comments)
New work by JRC to be considered for MTFR
Nutrients
Urban dischargeInvestment according to WWTD reporting Pol lution loads
from typica l rates (JRC)
NP removal in a l l UWWTP Ful l Compl iance [+] as estimated by JRC Also de integration
of FC [+] + BAU is poss ible
It must be noted that agglomerations below 2000 p-e are not
captured
Agricul ture and
l ivestock
Investment from RDP dis tributed at NUTS2 level Priori ty 4
actions l inked to water management improvement
JRC Reducing N surplus (input minus output) keeping the
current production constant by diminishing minera l ferti l i zers
to objective levels
NUTRIENT (JRC) reducing manure appl to 170 kgNha in a l l
Ni trates Vulnerable Zones Poss ible associated costs loss of
l ivestock production
Please note that RDPs include investment beyond Nitrates
Directive
Combined Sewer
Overflows
Investment according to WWTD reporting (sanitation
networks assuming a l l are separate)Full implementation of separate networks for rainwater and
sewage
Not assumed by JRC because it is too costly Not sure if they will
somehow consider retention ponds
Contaminants
Industria l pol lutionImplementation of BAT in EPTPR insta l lations BAT + as defined in NL figure (costs effectiveness ) Very di fficul t to implement
Plastic l i tter
EU-wide
implementation of
WFD PPWD
impacts of measures for inland waters supposedly included
in ICFEunomia s ca lculation for the marine environment
ca lculation methods or data not yet obta ined Reference
ca lculations can be s tarted with the results of the Jambeck
to be defined by increas ing the ambition levels of the
measures included in the sa id Directives
sea-based measuresWater abstraction
Only 2 measures were reported in MSFD PoMs which relate to
this pressure Therefore not investigated further
Nutrients
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Additional measures
Mussel farming Algae cul tivation
Nutrient
management in
aquaculture
Reported in 11 MS cost data in 4 MS no data on effectiveness
Improved
management of
sewerage water in
ports
Reported in 10 MS Cost data are scarce only reported in 1
MS Impact data are absent and must be estimated
ContaminantsFul l implementation of Port Reception Faci l i ties measures
Additional measures to be decided
Improved waste
management in
harbours
8 MS report measures of this type address ing handl ing of
oi ly waste Cost data are reported in 4 MS Impact data must
be estimated
Plastic l i tter
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives Increased ambition levels for a l l
Di rectives that have an impact on (land-based sea-based)
plastic l i ttering
Ful l implementation of the measures included in the BAU
scenario for a l l Member States Implementation of the SUPs
and PRF Directives
for SUPs EU-wide
implementation of
EU Directives
Included in ICFEunomia s ca lculations of SUPs data at MS level
Fishing for l i tterReported in 14 MS cost data in 8 MS impacts can be
estimated from l i terature
Improved plastic
waste management
in harbours
Reported in 15 MS cost data in 7 MS impacts can be
estimated from l i terature
Beach cleaning Reported in 9 MS cost data in 5 MS impacts to be estimated
from l i terature
FisheriesIt was agreed to define fi sheries measures in a later s tage
in close coordination with DGMARE
Estimation not feas ible
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic
Benefits of EU Water Policy and on the Costs of its Non-Implementation
23
4 References
Bisselink B Bernhard J Gelati E Adamovic M Guenther S Mentaschi L and De
Roo A Impact of a changing climate land use and water usage on Europersquos water
resources EUR 29130 EN Publications Office of the European Union Luxembourg 2018
ISBN 978-92-79-80287-4 doi102760847068 JRC110927
European Commission Directorate-General for Economic and Financial Affairs The 2015
Ageing Report Economic and budgetary projections for the 28 EU Member States (2013-
2060)
ICFEunomia 2018a Investigating options for reducing releases in the aquatic
environment of microplastics emitted by (but not intentionally added in) products Final
Report 23rd Feb 2018 Report for DG Environment of the European Commission
ICFEunomia 2018b Plastics Reuse recycling and marine litter - Impact assessment of
measures to reduce litter from single use plastics - Final report and Annex May 2018
ISBN 978-92-79-92898-7 doi102779500175 [KH-03-18-234-EN-N Report made for the
European Commission DG Environment
Riahi K Rao S Krey V Cho C Chirkov V Fischer G Kindermann G Nakicenovic
N and P Rafai (2011) RCP 85mdashA scenario of comparatively high greenhouse gas
emissions Climatic Change 109 33ndash57 doi101007s10584-011-0149-y
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 24
5 List of Acronyms
BAU Business as Usual
CSV Comma Separated Values
DG ENV Directorate-General for the Environment
DWD Drinking Water Directive
EC European Commission
EU European Union
FC Full Compliance
IED Industrial Emissions Directive
JRC Joint Research Centre
KTM Key Type of Measure
MSFD Marine Strategy Framework Directive
MTFR Maximum Technically Feasible Reduction
ND Nitrates Directive
PE Population Equivalent
PoM Programme of Measures
PRF Port Reception Facilities
RB River Basin
RBMP River Basin Management Plan
SUP Single Use Plastic
UWWTD Urban Waste Water Treatment Directive
UWWTP Urban Waste Water Treatment Plant
WFD Water Framework Directive
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
BLUE2 Study on EU Integrated Policy Assessment for the Freshwater and Marine Environment on the Economic Benefits of EU Water Policy and on the Costs of its Non-Implementation
Page 25
HOW TO OBTAIN EU PUBLICATIONS
Free publications
bull one copy
via EU Bookshop (httpbookshopeuropaeu)
bull more than one copy or postersmaps
from the European Unionrsquos representations (httpeceuropaeurepresent_enhtm)
from the delegations in non-EU countries
(httpeeaseuropaeudelegationsindex_enhtm)
by contacting the Europe Direct service (httpeuropaeueuropedirectindex_enhtm)
or calling 00 800 6 7 8 9 10 11 (freephone number from anywhere in the EU) () () The information given is free as are most calls (though some operators phone boxes or hotels may charge you)
Priced publications
bull via EU Bookshop (httpbookshopeuropaeu)
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]
doi10
Price (excluding VAT) in Luxembourg EUR
[Cata
logue n
um
ber]