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Water Quality Planning modelling for decision making Tony Warn MBE 17 February 2016 Catchment Management and Implementation

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Page 1: Water Quality Planning

Water Quality Planning

modelling for

decision making

Tony Warn MBE

17 February 2016

Catchment Management and Implementation

Page 2: Water Quality Planning

Tony Warn …

£20 billion of improvements

models: RQP, SIMCAT

Page 3: Water Quality Planning

where is the red on the map ? ?

what caused it ?

how confident are we ?

what can we do ?

is it worth doing ?

decision making ...

help

from

models

Page 4: Water Quality Planning

emphasise ...

• the “science” of taking decisions

• not the “science” of rivers

Page 5: Water Quality Planning

• use a correct form of standards and targets

• know our errors

this means we:

Page 6: Water Quality Planning

simplest requirement …

standards are means or

percentiles

to do the mixing correctly

to assess compliance

Page 7: Water Quality Planning

31 million seconds in a year

we take 12 samples ?

errors because…

Page 8: Water Quality Planning

2.115

1.5 to 3.1

know our errors ...

Page 9: Water Quality Planning

so don’t

elaborate on

the details …

what details?

Page 10: Water Quality Planning

depth, width …

time of travel …

hour-by-hour simulation …

chemical speciation …

settlement, re-suspension ...

rainfall – run off …

sewers ...

event duration ...

monthly breakdowns ...

Page 11: Water Quality Planning

100%

good poor badmoderate

Page 12: Water Quality Planning

good poor badmoderate

45%30% 20% 5%

Page 13: Water Quality Planning

25% of face-value classes are wrong

Good

Page 14: Water Quality Planning

GOOD - 95% confidence

GOOD - 75% confidence

GOOD - 50% confidence

Not GOOD - 50% confidence

Not GOOD - 95% confidence

Page 15: Water Quality Planning

investigate

actions needed to

meet targets

Page 16: Water Quality Planning

... for example

•national controls

•site-specific controls

•a mix of these

Page 17: Water Quality Planning

national controls?

• uniform standards on all discharges?

• a ban on chemicals?

• limits on land-use?

Page 18: Water Quality Planning

few data (big errors)

• weaken case for site-by-site controls

• promote regional or national controls

Page 19: Water Quality Planning

• work out controls

• quantify the errors

• relate to national targets

Page 20: Water Quality Planning

SIMCAT calculates … river quality

compliance with standards

breakdown of causes of bad quality

actions to meet targets

for a single discharge, a small river, catchments

or the whole country

industrial investment

diffuse pollution

growth and climate change

new laws and policies

Page 21: Water Quality Planning

mixingflow and

concentration

flow and

concentration

flow and

concentration

Page 22: Water Quality Planning

Monte Carloc

f

C

F T

Page 23: Water Quality Planning

0.6

find control that

meets the standard

(a mean of 0.6)

43

Page 24: Water Quality Planning

29 - 56mean = 43

take note of errors ...

43

Page 25: Water Quality Planning

how

SIMCAT

works

Page 26: Water Quality Planning

log-normal, etc …

standard deviation

mean

Page 27: Water Quality Planning

flow and pollutants

Page 28: Water Quality Planning

natural purification

Page 29: Water Quality Planning

speciation

total copper = dissolved + solid

+=

Page 30: Water Quality Planning

discharge

Page 31: Water Quality Planning

intermittent

discharge

Page 32: Water Quality Planning

rainfall ...temperature

correlation

Page 33: Water Quality Planning

diffuse pollution

Page 34: Water Quality Planning

abstraction

Page 35: Water Quality Planning

Reach

discharge abstraction

sampling point flow gauge

Reach

Page 36: Water Quality Planning
Page 37: Water Quality Planning

0

7

0 10 20 30 40

distance

standard

Page 38: Water Quality Planning

distance

standard

7

0

Page 39: Water Quality Planning

breakdown of loads from 100’s of discharges

backtracking…

Page 40: Water Quality Planning

%

Wellington STW 15.1

Brickton STW 0.4

Allied Industries 32.7

Appleford STW 2.5

Intermittent 4.9

Storm Overflow 19.1

DIFFUSE (agriculture) 25.3

cause of river 90-percentile

concentration

74.7

Page 41: Water Quality Planning

diffuselivestock

highways

mines

urban run-off

land drainage

atmospheric

arable

Page 42: Water Quality Planning

national and

regional

summaries

Page 43: Water Quality Planning

18

102439

%

length

8

50,400 km

current quality

Page 44: Water Quality Planning

20

-2060

%

length

-

target for

2025

national controls

site-specific controls

Page 45: Water Quality Planning

SIMCAT

baseline

Page 46: Water Quality Planning

SIMCAT –

point source

reductions

Page 47: Water Quality Planning

point and diffuse

reductions

Page 48: Water Quality Planning

% reductions

needed for

discharges

Page 49: Water Quality Planning

discharges: cost

billion

Page 50: Water Quality Planning

benefit:

billion

Page 51: Water Quality Planning

apportionment …

load from

discharges

Source: SIMCAT

loads from

diffuse

Based on 0.7 million sample results

Page 52: Water Quality Planning

SAGIS –

automate model

production

Page 53: Water Quality Planning

Population 54 million

River Flow 2000m3/s

Waste water flow 200 m3/s

Page 54: Water Quality Planning

Rivers rivers 45,000 km

Page 55: Water Quality Planning

3000large discharges

Page 56: Water Quality Planning

sampling sites 6000

(monthly spot samples)

River Quality Monitoring

Page 57: Water Quality Planning

flow monitoring 1000 sites

Page 58: Water Quality Planning

Combined Sewer Overflows

Page 59: Water Quality Planning

CSO Inputs (Zinc)

Page 60: Water Quality Planning

septic tank - loads

Page 61: Water Quality Planning

land use ...

Page 62: Water Quality Planning

mine water

Page 63: Water Quality Planning

agriculture: sources of nutrients

Page 64: Water Quality Planning

SIMCAT – GIS interface

Page 65: Water Quality Planning

Tony Warn

Simulation model for catchment quality

February 2016

Page 66: Water Quality Planning
Page 67: Water Quality Planning

apportionment

back-tracking

compliance

loads

EXCEL

Page 68: Water Quality Planning
Page 69: Water Quality Planning

SIMCAT –

results

Page 70: Water Quality Planning

SIMCAT calculates …

river quality

compliance with standards

breakdown of causes of bad quality

actions to meet targets

for a single discharge, a small river, catchments or the

whole country

industrial investment

diffuse pollution

growth and climate change

new laws and policies

Page 71: Water Quality Planning

emphasise ...

• the “science” of taking decisions

Page 72: Water Quality Planning

• know our errors

• use correct standards

important to:

Page 73: Water Quality Planning

Water Quality Planning

modelling for investment

and decision making

Tony Warn MBE

17 February 2016

Catchment Management and Implementation

Page 74: Water Quality Planning
Page 75: Water Quality Planning

29 - 56mean = 43

take note of errors ...

43

Page 76: Water Quality Planning