overview of project progress - airuseairuse.eu/.../10/12_airuse_arpa_l_xq-1_2_9_11_09_2015.pdf ·...

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Milano, 11/09/2015 Milano, 11/09/2015 15:00-15:10h WELCOME from Regione Lombardia 15:10-15:20h INTRODUCTION of AIRUSE LIFE+ (Cristina Colombi, Vorne Gianelle, ARPA Lombardia 10 min) 15:20-15:35h OVERVIEW OF PROJECT (Xavier Querol, IDAEA-CSIC 15 min) 15:35-16:05h RESULTS FROM Source Apportionment of PM (Xavier Querol, IDAEA-CSIC 20 min) 16:05-16:20h TRAFFIC CONTRIBUTIONS TO PM (Franco Lucarelli, Università Firenze 15 min) 16:20-16:30h SPECIFIC TEST CARRIED FOR RESUSPENSION MEASURES (Fulvio Amato, IDAEA-CSIC 20 min) 16:30-16:50h BIOMASS BURNING S.A., PROFILES AND ABATEMENT (Célia Alves, University of Aveiro 20 min) 16:50-17:00h - COFFEE BREAK - 17:00-17:20h INDUSTRIAL CONTRIBUTIONS: S.A., PROFILES AND ABATEMENT (Eliseo Monfort ITC, Castellon 20 min) 17:20-17:35h NATURAL CONTRIBUTION (Kostas Eleftheriadis, N.C.S.R. Demokritos University 15 min) 17:35-17:55h EFFECTIVE TRAFFIC MEASURES FROM C. & N.EUROPE (Roy Harrison, Univ.Birmingham 20 min) 18:00-18:30h DISCUSSION, FEEDBACK FROM Stakeholders (Regione Lombardia, Comune Milano) Agenda Overview of the AIRUSE LIFE+ project

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Page 1: Overview of project progress - AIRUSEairuse.eu/.../10/12_AIRUSE_ARPA_L_XQ-1_2_9_11_09_2015.pdf · 2017. 9. 20. · Milano, 11/09/2015 • Characterizing similarities & differences

Milano, 11/09/2015 Milano, 11/09/2015

15:00-15:10h WELCOME from Regione Lombardia 15:10-15:20h INTRODUCTION of AIRUSE LIFE+ (Cristina Colombi, Vorne Gianelle, ARPA Lombardia 10 min) 15:20-15:35h OVERVIEW OF PROJECT (Xavier Querol, IDAEA-CSIC 15 min) 15:35-16:05h RESULTS FROM Source Apportionment of PM (Xavier Querol, IDAEA-CSIC 20 min) 16:05-16:20h TRAFFIC CONTRIBUTIONS TO PM (Franco Lucarelli, Università Firenze 15 min) 16:20-16:30h SPECIFIC TEST CARRIED FOR RESUSPENSION MEASURES (Fulvio Amato, IDAEA-CSIC 20 min) 16:30-16:50h BIOMASS BURNING S.A., PROFILES AND ABATEMENT (Célia Alves, University of Aveiro 20 min) 16:50-17:00h - COFFEE BREAK - 17:00-17:20h INDUSTRIAL CONTRIBUTIONS: S.A., PROFILES AND ABATEMENT (Eliseo Monfort ITC, Castellon 20 min) 17:20-17:35h NATURAL CONTRIBUTION (Kostas Eleftheriadis, N.C.S.R. Demokritos University 15 min) 17:35-17:55h EFFECTIVE TRAFFIC MEASURES FROM C. & N.EUROPE (Roy Harrison, Univ.Birmingham 20 min) 18:00-18:30h DISCUSSION, FEEDBACK FROM Stakeholders (Regione Lombardia, Comune Milano)

Agenda

Overview of the AIRUSE LIFE+ project

Page 2: Overview of project progress - AIRUSEairuse.eu/.../10/12_AIRUSE_ARPA_L_XQ-1_2_9_11_09_2015.pdf · 2017. 9. 20. · Milano, 11/09/2015 • Characterizing similarities & differences

Milano, 11/09/2015 Milano, 11/09/2015

Overview of the AIRUSE LIFE+ project

Xavier Querol, IDAEA-CSIC

Page 3: Overview of project progress - AIRUSEairuse.eu/.../10/12_AIRUSE_ARPA_L_XQ-1_2_9_11_09_2015.pdf · 2017. 9. 20. · Milano, 11/09/2015 • Characterizing similarities & differences

Milano, 11/09/2015

MEAN PM10 & PM2.5 LEVELS IN EUROPE

Eeftens et al. (2012) Atmospheric Environment

ESCAPE

Page 4: Overview of project progress - AIRUSEairuse.eu/.../10/12_AIRUSE_ARPA_L_XQ-1_2_9_11_09_2015.pdf · 2017. 9. 20. · Milano, 11/09/2015 • Characterizing similarities & differences

Milano, 11/09/2015

PARTICULATE MATTER IN URBAN AREAS OF SOTHERN EUROPE

Page 5: Overview of project progress - AIRUSEairuse.eu/.../10/12_AIRUSE_ARPA_L_XQ-1_2_9_11_09_2015.pdf · 2017. 9. 20. · Milano, 11/09/2015 • Characterizing similarities & differences

Milano, 11/09/2015

PARTICULATE MATTER AND HEALTH EFFECTS IN BARCELONA Perez et al., 2009 ES&T

Selected results

Fraction Respiratory mortality

(Lag2)

Cardiovascular

mortality

(Lag1)

Cerebrovascular

mortality

(Lag1)

PM10-2.5

1.033

(0.980-1.089)

1.059

(1.026-1.094)

1.098

(1.030-1.171)

PM2.5-1

1.206

(1.028-1.416)

0.984

(0.892-1.086)

0.905

(0.743-1.102)

PM1

1.010

(0.963-1.059)

1.028

(1.000-1.058)

1.063

(1.004-1.124)

Odds ratio per 10 ug/m3

Page 6: Overview of project progress - AIRUSEairuse.eu/.../10/12_AIRUSE_ARPA_L_XQ-1_2_9_11_09_2015.pdf · 2017. 9. 20. · Milano, 11/09/2015 • Characterizing similarities & differences

Milano, 11/09/2015

PM10 daily limit value 2012 BaP target annual value, 2012

Page 7: Overview of project progress - AIRUSEairuse.eu/.../10/12_AIRUSE_ARPA_L_XQ-1_2_9_11_09_2015.pdf · 2017. 9. 20. · Milano, 11/09/2015 • Characterizing similarities & differences

Milano, 11/09/2015

TRENDS ON NUMBER OF AQ ZONES WITH PM10 ALV DLV EXCEEDANCES

Zones exceeding the LVs Zones between the LVs and the LV+MoT Zones <LVs excluding African dust

Zones <LVs Non evaluated

µg/m

3

PM10 DAILY LIMIT VALUE PM10 ANNUAL LIMIT VALUE

Page 8: Overview of project progress - AIRUSEairuse.eu/.../10/12_AIRUSE_ARPA_L_XQ-1_2_9_11_09_2015.pdf · 2017. 9. 20. · Milano, 11/09/2015 • Characterizing similarities & differences

Milano, 11/09/2015

BaP 2013, Catalonia, NE Spain

0

2

4

6

8

10

12

14

16

06/2008 06/2009 06/2010 06/2011 06/2012 06/2013 06/2014

ng

/m

3

Manlleu, BaP

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Milano, 11/09/2015 Milano, 11/09/2015

• Characterizing similarities & differences in PM sources & contributions across S-EU (5 cities) • Once the main sources of PM10 and PM2.5 are identified, the strategic goal of the AIRUSE

project is to develop, test and propose specific and non specific measures to abate urban ambient air PM in S.-EU, to meet AQ standards & to approach WHO guidelines.

THE AIRUSE PROJECT AIMS

Specific PM mitigation measures • Street washing & dust suppressants for road dust and deposited African dust • Biomass burning • Industrial emissions (channelled and fugitive) • Strategies from other European countries (LEZ, eco-efficient vehicles, labelling, shipping, biomass

burning…)

Page 10: Overview of project progress - AIRUSEairuse.eu/.../10/12_AIRUSE_ARPA_L_XQ-1_2_9_11_09_2015.pdf · 2017. 9. 20. · Milano, 11/09/2015 • Characterizing similarities & differences

Milano, 11/09/2015 Milano, 11/09/2015

ACTION A. Preparatory actions

ACTION B. Implementation actions

A.1 Authorities and stakeholders consultation

B1. Documentation of the current status

B2. Harmonization and implementation of source apportionment using receptor modelling & determination of the impact of:

B7. Developing & testing cost-effective PM measures & strategies

B8. Applicability of selected measures from N to S Europe

B3. Natural sources B4. Biomass burning

B5. Industrial sources B6. Traffic related sources

ACTION C. Implementation actions C1. Effectiveness of the project actions

C2. Assessment of the socio-economic impact

AIRUSE STRUCTURE: ACTIONS & TASKS (1/2)

Intensive additional work on inventories, emission chemical profiles, emission factors

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Milano, 11/09/2015 Milano, 11/09/2015

AIRUSE STRUCTURE: ACTIONS & TASKS (2/2)

ACTION D. Communication & Dissemination actions

ACTION E. Project management & monitoring of the project progress

D1. Project website

D2. LIFE+ Information boards

D3. Networking-Open forum with key stakeholders D4. Dissemination of project results

D5. Layman's Report

E1. Project Management & Audit

E2. Monitoring of the project progress

E3. Networking with other projects

E4. After-LIFE+ Plan

Page 12: Overview of project progress - AIRUSEairuse.eu/.../10/12_AIRUSE_ARPA_L_XQ-1_2_9_11_09_2015.pdf · 2017. 9. 20. · Milano, 11/09/2015 • Characterizing similarities & differences

Milano, 11/09/2015

Coordinating Beneficiary Project Manager

Spain

Associated Beneficiaries

Leader B5 D5 Spain

Leader B8 UK

Leader B3 D2 Greece

Leader B4 Portugal

Milan Italy

AIRUSE COORDINATION STRUCTURE

Leader B2 Italy

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Milano, 11/09/2015 Milano, 11/09/2015

ACTIONS B1 & B2

X. Querol1, A. Karanasiou1, F. Amato1, C. Vasconcelos1, A. Alastuey1, M. Viana1, T. Moreno1, F. Plana1, N. Perez1, M. Cabañas1, R. Bartoli1, S. Martinez1, M. Sosa1,

F. Lucarelli2, S. Nava2, G. Calzolai2, R. Udisti2, S. Becagli2, R. Traversi2, M. Severi2, S. Borselli2, C. Alves3, C. Pio3, T. Nunes3, L. Tarelho3, M. Duarte3, M. Cerqueira3, E. Vicente3, D. Custódio3, H. Pinto3,

E. Montfort4, I.Celades4, A. Escrig4, V. Sanfelix4, S. Gomar4, M. Padilla4, L. Ortiz4, B. Ferrer4, Y. Reig4, K. Eleftheriadis5, L. Diapouli5, S. Vratolis5, M. Gini5, E. Bairaktari5, S. Dalaina5, V. Galifianakis5,

V.L. Gianelle6, C. Colombi6

1 2 3 4 5 6

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B1: AQ TRENDS SPAIN 2001-2012

Querol et al., 2014. Science of Total Environment

0

2

4

6

8

10

12

14

16

18

20

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg

/m3

SO2

Traffic Urban backgraound Industrial

0,0

0,5

1,0

1,5

2,0

2,5

3,0

3,5

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg

/m3

Mean Sav, Nie, Peñ Bar, CdC, Viz, Cam, Tor, Zar

Regional Background(EMEP)

0

10

20

30

40

50

60

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg

/m3

NO2

Traffic Urban backgraound Industrial

0,0

1,0

2,0

3,0

4,0

5,0

6,0

7,0

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg

/m3

Media CdC, Viz,Tor, Sav, Nie Bar, Cam, Zar, Peñ

Regional Background(EMEP)

0

20

40

60

80

100

120

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg

/m3

NOx

Traffic Urban backgraound Industrial

0,0

1,0

2,0

3,0

4,0

5,0

6,0

7,0

8,0

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg

/m3

NOx

Media CdC, Viz,Tor, Sav, Nie Bar, Cam, Zar, Peñ

0.0E+0

2.0E+5

4.0E+5

6.0E+5

8.0E+5

1.0E+6

1.2E+6

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

SO2 (Mg)

Industrial processes with combustion

Power generation and transformation

Other transport and mobile machinery

Mg

SO2 National Emissions

0E+0

1E+5

2E+5

3E+5

4E+5

5E+5

6E+5

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

NOx (Mg)

Industrial processes with combustion

Power generation and transformation

Other transport and mobile machinery

Road transport

Mg

NOx National Emissions

Viznar

Barcarrota

Peñausende

Niembro

O Sabiñao

Campisábalos

Zarra

El Torms

Cabo de Creus

Avilés

Oviedo

A Coruña

Vigo

Gijón

Valladolid

Madrid

BilbaoPamplona

Granada

Córdoba

SevillaMurcia

Alicante

Zaragoza

ValenciaP. Mallorca

Barcelona

L’Hospitalet

Las PalmasSanta Cruz

Regional Background Urban Background Traffic Industrial

Montseny

Regional Background PM2.5 speciation

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Milano, 11/09/2015

Querol et al., 2014. Science of Total Environment

B1: AQ TRENDS SPAIN 2001-2012

0

5

10

15

20

25

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg/

m3

Media Bar, CdC, Viz,Tor, Zar, Nie Cam, Sav, Peñ

Regional Background(EMEP)

0

2

4

6

8

10

12

14

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg/

m3

Media Bar, CdC,Viz, Tor Cam, Sav, Nie, Zar, Peñ

Regional Background(EMEP)

0

10

20

30

40

50

60

70

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg/

m3

PM10

Traffic Urban background Industrial

0

5

10

15

20

25

30

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg/

m3

PM2.5

Mean

0.0E+0

5.0E+3

1.0E+4

1.5E+4

2.0E+4

2.5E+4

3.0E+4

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

PM2.5 (Mg)

Industrial processes with combustion

Other transport and mobile machinery

Road transport

Non industrial combustion

PM2.5 National Emissions

0.0E+0

5.0E+3

1.0E+4

1.5E+4

2.0E+4

2.5E+4

3.0E+4

3.5E+4

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

PM10 (Mg)

Industrial processes with combustionAgriculture and farmingOther transport and mobile machineryRoad transportNon industrial combustion

Mg

PM10 National EmissionsM

g

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Milano, 11/09/2015

Querol et al., 2014. Science of Total Environment

B1: AQ TRENDS SPAIN 2001-2012

0

10

20

30

40

50

60

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg/

m3

O3

Traffic Urban Background Industrial

0

10

20

30

40

50

60

70

80

90

100

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

µg/

m3

O3

Media CdC, Viz, Cam, Zar, Peñ Bar, Tor, Sav, Nie

Regional Background(EMEP)

0,0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

mg/

m3

CO

Traffic Urban background Industrial

0.0E+0

2.0E+5

4.0E+5

6.0E+5

8.0E+5

1.0E+6

1.2E+6

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

CO (Mg)Industrial processes with combustionAgriculture and farmingIndustrial processes without combustionRoad transportNon industrial combustion

National Emissions

Mg

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Milano, 11/09/2015

0

20

40

60

80

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

3)

Annual average PM10 Florence area

Florence_Bassi Florence_Gramsci Florence_Boboli Florence_Mosse Signa Calenzano boccaccio

Calenzano giovanni Campi B. Sesto Mean Annual limit value

-34%

0

20

40

60

80

100

120

140

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

3)

Annual mean PM10 POR-MA

Francisco Sá Carneiro Sobreiras - Lordelo de Ouro Av. 24 - Espinho Anta - EspinhoAugusto Gomes - Matosinhos D. Manuel II - Vermoim Gaia - Avintes VN Telha - MaiaCustóias - Matosinhos Leça do Balio - Matosinhos Meco - Perafita Sra. Da Hora - MatosinhosErmesinde - Valongo Mean Annual limit value

0

10

20

30

40

50

60

70

80

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

3)

Annual mean PM10 ATH-AGG

Agia Paraskevi Aristotelous Goudi Thrakomakedones Lykovrusi Marousi Piraeus Mean Annual limit value

-32%

0

20

40

60

80

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

3)

Annual mean PM10 MLN-AGG

Cantù Como centro Merate Busto Arsizio - Accam Gallarate San Lorenzo MedaMonza Macchiavelli Monza Parco Milano Senato Mean Annual limit value CantùComo centro Merate Busto Arsizio - Accam Gallarate San Lorenzo Meda Monza Macchiavelli

-32%

0

20

40

60

80

100

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

3)

Annual mean PM10 BCN-MA

Barcelona (c/ Lluís Solé i Sabarís) Barcelona (Eixample) Barcelona (Gràcia - Sant Gervasi)Barcelona (IES Goya) Barcelona (IES Verdaguer) Barcelona (Vall d'Hebron)Barcelona (pl. Universitat) Barcelona (Zona Universitària) Barcelona (Sants)Barcelona (Poblenou) Barcelona (Port Vell) Esplugues de Llobregat (CEIP Isidre Marti))L'Hospitalet de Llobregat Molins de Rei (pl. del Mercat Municipal) Molins de Rei (Ajuntament)El Prat de Llobregat (pl. de l'Església) El Prat de Llobregat (Jardins de la Pau) Sant Adrià de BesòsSanta Coloma de Gramenet (Ajuntament) Sant Feliu de Llobregat (Eugeni d'Ors) Sant Vicenç dels Horts (Col·legi Sant Josep)Sant Vicenç dels Horts (CEIP Verge del Rocío) Mean AQZ1 Annual limit value

-49%

-45%

BCN-MA

POR-MA MLN-AGG

FI-AGG ATH-AGG

0

20

40

60

80

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

3)

Annual mean PM10 FI-AGG

Florence_Bassi Florence_Gramsci Florence_Boboli Florence_Mosse Signa

Scandicci Calenzano boccaccio Calenzano giovanni Campi B. Empoli

Greve Incisa Montelupo Pontassieve Sesto

Mean Annual Limit Value

ANNUAL PM10 AVERAGES

-46%

-49%

-32%

-34%0

20

40

60

80

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

3)

Annual mean PM10 ATH-AGG

Agia Paraskevi Aristotelous Goudi Thrakomakedones Lykovrusi Marousi Piraeus Mean Annual limit value

-32%

FI-AGG ATH-GAA

WHO

WHO WHO

WHO

WHO

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Milano, 11/09/2015 0

20

40

60

80

100

120

140

160

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

3)

Percentile 90.4 PM10 BCN-MA

Barcelona (c/ Lluís Solé i Sabarís) Barcelona (Eixample) Barcelona (Gràcia - Sant Gervasi)Barcelona (IES Goya) Barcelona (IES Verdaguer) Barcelona (Vall d'Hebron)Barcelona (pl. Universitat) Barcelona (Zona Universitària) Barcelona (Sants)Barcelona (Poblenou) Barcelona (Port Vell) Esplugues de Llobregat (CEIP Isidre Marti))L'Hospitalet de Llobregat Molins de Rei (pl. del Mercat Municipal) Molins de Rei (Ajuntament)El Prat de Llobregat (pl. de l'Església) El Prat de Llobregat (Jardins de la Pau) Sant Adrià de BesòsSanta Coloma de Gramenet (Ajuntament) Sant Feliu de Llobregat (Eugeni d'Ors) Sant Vicenç dels Horts (Col·legi Sant Josep)Sant Vicenç dels Horts (CEIP Verge del Rocío) Mean AQZ1 Daily limit value

-49%

0

20

40

60

80

100

120

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

3)

Percentile 90.4 PM10 FI-AGG

Florence_Bassi Florence_Gramsci Florence_Boboli Florence_Mosse Signa

Scandicci Calenzano boccaccio Calenzano giovanni Campi B. Empoli

Greve Incisa Montelupo Pontassieve Sesto

Mean Annual Limit Value

-29%

0

40

80

120

160

200

240

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

3)

Percentile 90.4 PM10 POR-MA

Francisco Sá Carneiro Sobreiras - Lordelo de Ouro Av. 24 - Espinho Anta - Espinho

Augusto Gomes - Matosinhos D. Manuel II - Vermoim Gaia - Avintes VN Telha - Maia

Custóias - Matosinhos Leça do Balio - Matosinhos Meco - Perafita Sra. Da Hora - Matosinhos

Ermesinde - Valongo Mean Daily limit value

-45%

0

20

40

60

80

100

120

140

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

³)

Percentile 90.4 PM10 ATH-AGG

Agia Paraskevi Aristotelous Goudi Thrakomakedones Lykovrusi Marousi Piraeus Mean Daily limit value

-32%

0

20

40

60

80

100

120

140

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

PM

10

g/m

³)

Percentile 90.4 PM10 MLN-AGG

Cantù Como centro Merate Busto Arsizio - Accam Gallarate San Lorenzo Meda

Monza Macchiavelli Monza Parco Milano Senato Mean Daily limit value

-32%

FI-AGG

MLN-AGGPOR-MA

BCN-MA

ATH-GAA

90.4 PERCENTILE PM10

-29%

-29%

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Milano, 11/09/2015

2003-2014 PM10 and PM1 source apportionment: Barcelona

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Milano, 11/09/2015

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Milano, 11/09/2015 Milano, 11/09/2015

B2. HARMONIZED 2013 PM10 & PM2.5 SOURCE APPORTIONMENT

1047 PM10 samples 1116 PM2.5 samples

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Milano, 11/09/2015 Milano, 11/09/2015

0

10

20

30

40

50

60

70

80

BCN-UB BCN-TR POR-TR FI-UB MIL-UB ATH-SUB ATH-TR

µg/

m3

PM10 DLV (2008/50/EC)

DAILY (P90.4)

0

5

10

15

20

25

30

35

40

45

BCN-UB BCN-TR POR-TR FI-UB MIL-UB ATH-SUB ATH-TR

µg

/m3

0

5

10

15

20

25

30

35

BCN-UB BCN-TR POR-TR FI-UB MIL-UB ATH-SUB ATH-TR

µg/

m3

ALV (2008/50/EC)

ATV (2008/50/EC)

WHO GUIDE

WHO GUIDE

ANNUAL

ANNUAL

µg/

m3

µg/

m3

µg/

m3

0,0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

BCN-UB BCN-TR POR-TR FI-UB MIL-UB ATH-SUB ATH-TR

µg/

m3

PM2.5/PM10

B2. HARMONIZED 2013 PM10 & PM2.5 SOURCE APPORTIONMENT

PM2.5

PM10

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Example PM10

B2. HARMONIZED 2013 PM10 & PM2.5 SOURCE APPORTIONMENT

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34%

31%

20%

11%

4%

22%

16%

46%

11%

5%

61%20%

14%

4%

1%

31%

37%

23%

7%

2%

45%

37%

6%

10%

2%BCN-UB FI-UB MLN-UB ATH-SUB

Primary: 35%Secondary: 65%

Primary: 19%Secondary: 81%

Primary: 32%Secondary: 68%

Primary: 18%Secondary: 82%

POR-TR ATH-TR

Primary: 62%Secondary: 38%

Primary: 34%Secondary: 66%

Secondary organics

Secondary inorganicsPrimary OM + EC

Primary: Mineral dust

Primary: Sea salt

PM2.5

37%

29%

27%

4%

3%

Primary: 30%Secondary: 70%

Primary: 35%Secondary: 65%

Primary: 32%Secondary: 68%

Primary: 18%Secondary: 82%

B2. HARMONIZATION & OBTENTION OF 2013 PM10 & PM2.5 SOURCE APPORTIONMENT

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0

50

100

150

200

250

300

350

400

450

BCN-UB BCN-TRAFFPOR-TRAFF FI-UB MIL-UB ATH-SUB ATH-TRAFF

ng/

m3

0

50

100

150

200

250

300

350

400

BCN-UB BCN-TRAFFPOR-TRAFF FI-UB MIL-UB ATH-SUB ATH-TRAFF

ng/

m3

Levoglucosan

K

PM2.5

PM2.5

B2. HARMONIZATION & OBTENTION OF 2013 PM10 & PM2.5 SOURCE APPORTIONMENT

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PM10 (annual mean)

1. Road Traffic is the main source contributing to PM10: 31-38% (ATH 23%) 1.1. Vehicle exhaust + traffic related NO3

- are the main causes: 21-29% (ATH 15%) 1.2. Non-exhaust vehicle emissions are also relevant: 8-11% 2. Regional OC and/or SO4

2- dominated pollution: 20-26% (POR-TR 10%) 3. Local dust : 10-19% 4. Biomass burning very relevant in POR & FI (14-16%), less in ATH (7%) and negligible in BCN 5. Industry BCN 11%, 4-5%, ATH <1% 6. Non traffic-NO3

- 6-8% (2% POR) 7. Shipping 4% in coastal sites 8. African dust ATH 14%, 1-4% 9. Sea salt POR 13%, 4-8% 10. Anthropogenic dust (Local dust + Non exhaust) reaches 19-25%

PM2.5 (annual mean)

1. Road Traffic is the main source contributing to PM2.5: 28-39% (ATH 22%) 1.1. Vehicle exhaust + traffic related NO3

- are the main causes: 25-34% (ATH 17%) 1.2. Non-exhaust vehicle emissions are also relevant: 5-9% (BCN&FI 1-2% ) 2. Regional OC and/or SO4

2- dominated pollution: 19-37% (POR 13%) 3. Local dust: POR 16%, 2-6% 4. Biomass burning very relevant in MLN, FI & POR (18-21%), less in ATH (10%) and negligible in BCN 5. Industry 5-12%, ATH <1% 6. Non traffic-NO3

- 3-6% (POR 1%) 7. Shipping 5-7% in coastal sites 8. African dust: ATH 6%, <1% 9. Sea salt POR 5%, <1-3%, 10. Anthropogenic dust (Local dust + Non exhaust) reaches 10-21%, BCN 7%, FI 4%

36-45% (ATH 15%) 30-34% (ATH 6%) 18-29% (ATH 3%, POR 6%) BCN 19%, 2-6% POR 27%, 1-4% POR & FI (25-30%), ATH 1%, negligible in BCN BCN 17%, <1-3% BCN & FI 7-9% (1-2% POR & ATH) 3-4% in coastal sites ATH 52%, 1% ATH 7%, 1-3% 11-33%, ATH 4%

PM10 (days of exceedance)

32-42% (ATH 11%) 31-40% (ATH 10%) 1-7% BCN & MLN 11-22%, 2-6% POR 22%, 1-2% POR, FI & MLN (26-33%), <2% BCN 18%, <1-3% BCN, FI & MLN 6-9% (1-3% POR & ATH) 6-10% in coastal sites ATH 45%, 1% <1%-1% POR 15, 3-9%

PM2.5 (days of PM10 exceedance)

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Thank you very much for your attention!!!

http://airuse.eu [email protected]

ACKNOWLEDGEMENTS

LIFE+ AIRUSE Spain MAGRAMA, GenCat, Barcelona and Madrid City Councils Italy ARPA-Lombardia, Regione Lombardia, Regional Government of Tuscany, ARPA Toscana Portugal Porto City Council, North Regional Coord. & DeveloP. Comm. (CCDR-N) Greece Ministry of Environment, Energy and Climate Change Spain M. Brritte Larka, A. Orio, M. Pallares, I. Hernández, A. Cristobal, E. Aulí Portugal C. Figueiredo (CCDR-N); J. Monjardino (CENSE, Universidade Nova de Lisboa) Italy F. Forni (Regione Toscana), Greece M. Lazaridis y Athina Progiou (Proyecto ACEPT AIR)

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Further tasks

X. Querol1, A. Karanasiou1, F. Amato1, C. Vasconcelos1, A. Alastuey1, M. Viana1, T. Moreno1, F. Plana1, N. Perez1, M. Cabañas1, R. Bartoli1, S. Martinez1, M. Sosa1,

F. Lucarelli2, S. Nava2, G. Calzolai2, R. Udisti2, S. Becagli2, R. Traversi2, M. Severi2, S. Borselli2, C. Alves3, C. Pio3, T. Nunes3, L. Tarelho3, M. Duarte3, M. Cerqueira3, E. Vicente3, D. Custódio3, H. Pinto3,

E. Montfort4, I.Celades4, A. Escrig4, V. Sanfelix4, S. Gomar4, M. Padilla4, L. Ortiz4, B. Ferrer4, Y. Reig4, R. Harrison5, C. Holman5, D. Beddows5, M. Harding5,

K. Eleftheriadis6, L. Diapouli6, S. Vratolis6, M. Gini6, E. Bairaktari6, S. Dalaina6, V. Galifianakis6, V.L. Gianelle7, C. Colombi7

1 2 3 4 5 6 7

Porto, 07/07/2015

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AIRUSE UPCOMINGS TASKS

TASKS AND EXPECTED FINAL PRODUCTS Schedule

Harmonization of source apportionment

PM Speciation and Source apportionment 31/03/2015

Report on Source apportionment in Southern Europe 31/12/2015

Determination of the impact of natural sources

Southern Europe database for concentrations of chemical tracers for natural sources 31/05/2015

Report on Contribution of natural sources and methods used 31/05/2015

Testing of air mitigation measures – Development strategies

5 technical guides

Industrial emission reduction 28/02/2015

Reduction of biomass burning emissions 30/06/2015

New mitigation measures 30/06/2015

Mitigation measures 31/12/2015

Applicability of selected measures from North. to South. Europe

10 reports

Street cleaning 31/12/2015

Dust suppressants 31/12/2015

Low emission zones 31/12/2015

Electric, hybrid and gas vehicles 31/12/2015

Diesel car/fuel taxation 31/12/2015

Vehicle Eco-efficiency 31/12/2015

NOx reduction technologies applied to traffic 31/12/2015

Biomass burning abatement in Northern Europe 31/12/2015

Shipping abatement measures 31/12/2015

Interference and synergy of air quality and climate 31/12/2015

Dissemination of project results

Teachers´ seminars 31/05/2014

Layman´s Report 30/09/2016

Final report 31/12/2016

After-LIFE+ communication Plan 30/09/2016

in progress of dissemination

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CONTRIBUTIONS TO THE ANNUAL MEAN CONTRIBUTIONS TO THE MEAN OF DAYS >50µg/m3 PM10 (BCN >40µg/m3)

PM10 POR-TR BCN-UB FI-UB MLN-UB ATH-SUB PM10 POR-TR BCN-UB FI-UB MLN-UB ATH-SUB

TRAFFIC 38%(13) 33%(7) 31%(6) 34%(13) 23%(5) TRAFFIC 36%(24) 45%(22) 43%(31) 41%(33) 9%(6) Exhaust 23% 14% 13% 7% 10% 25% 13% 5% 5% 4% Non-exhaust 9% 11% 9% 9% 8% 6% 14% 9% 14% 3% TR-NO3

- 6% 8% 9% 19% 5% 5% 18% 29% 22% 2% REG (OC+SO4

2-) 10%(4) 26%(6) 21%(4) 19%(6) 20%(4) REG (OC+SO42-) 5%(3) 19%(9) 6%(4) 9%(3) 2%(1.7)

L.DUST 19%(6) 11%(3) 12%(2) 5%(2) 10%(2) L.DUST 27%(17) 4%(1.8) 2%(1.8) 3%(17) 1%(1.1)

BIOMASS BURN. 14%(5) <2%(<0.5) 16%(3) 24%(9) 7%(1.4) BIOMASS BURN. 25%(16) <2%(<0.5) 30%(22) 35%(16) 1%(0.6) INDUST 4%(1.2) 11%(3) 5%(0.9) 9%(4) <1%(<0.2) INDUST 2%(1.2) 17%(8) 3%(2) 4%(1) <1%(<0.2) nTR-NO3

- 2%(0.8) 8%(1.8) 6%(1.2) 5%(2) 7%(1.5) nTR-NO3- 2%(1.3) 9%(4) 7%(5) 6%(1) 1%(1.1)

SHIPPING <1% (<0.2) 4%(0.9) <1%(<0.2) <1%(<0.2) 4%(0.8)* SHIPPING <1%(<0.2) 4%(2) <1%(<0.2) <1%(<0.2) 3%(2.3)* AFR.DUST <1%(<0.2) 1%(0.3) 4%(0.7) <1%(<0.2) 14%(3) AFR.DUST <1%(<0.2) 1%(0.3) <1%(0.2) <1%(<0.2) 52%(38)

S.SALT 13%(4) 6%(1.5) 3%(0.6) 3%(1) 7%(1.6) S.SALT 3%(1.9) 2%(0.8) 1%(0.5) 2%(2) 7%(4.9)

*Shipping in ATH includes also heavy oil combustion from industrial plants and maybe some residential oil combustion for heating as well.

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CONTRIBUTIONS TO THE ANNUAL MEAN CONTRIBUTIONS TO THE MEAN OF DAYS >50 (40 BCN)µgPM10/m3 (>35µg/m3 PM2.5 MLN)

PM2.5 POR-TR BCN-UB FI-UB MLN-UB ATH-SUB PM2.5 POR-TR BCN-UB FI-UB MLN-UB ATH-SUB

TRAFFIC 39%(10) 28%(4) 31%(4) 34%(10) 22%(2.5) TRAFFIC 35%(23) 42%(14) 32%(22) 39%(21) 11%(3) Exhaust 31% 20% 18% 6% 15% Exhaust 30% 20% 5% 4% 9% Non-exhaust 5% 1% 2% 9% 5% Non-exhaust 3% 2% 1% 7% 1% TR-NO3

- 3% 7% 11% 19% 2% TR-NO3- 2% 20% 26% 28% 1%

REG (OC+SO42-) 13%(3) 37%(6) 29%(4) 19%(6) 34%(4) REG (OC+SO4

2-) 2%(1.4) 22%(7) 6%(4) 11%(6) 5%(1.2) L.DUST 16%(5) 6%(1.0) 2%(0.3) 5%(1.5) 5%(0.5) L.DUST 22%(14) 2%(0.6) <1%(0.1) 2%(1.2) 2%(0.4) BIOMASS BURN. 18%(5) <3%(<0.5) 21%(3) 21%(6) 10%(1.2) BIOMASS BURN. 33%(22) <3%(<0.5) 33%(23) 26%(14) 2%(0.5) INDUST 5%(1.3) 12%(1.8) 6%(0.8) 5%(1.5) <1% (<0.1) INDUST 1%(0.9) 18%(6) 3%(2) 3%(1.8) <1%(<0.2) nTR-NO3

- 1%(0.3) 3%(0.5) 4%(0.5) 6%(1.7) 3%(0.3) nTR-NO3- 1%(0.4) 9%(3) 6%(4) 8%(4.3) 3%(0.6)

SHIPPING <1%(<0.2) 5%(0.7) <1%(<0.2) <1%(<0.2) 7%(0.8) * SHIPPING <1%(<0.2) 6%(2) <1%(<0.2) <1%(<0.2) 10%(2)* AFR.DUST <1%(<0.2) <1%(<0.2) 1%(0.2) <1%(<0.2) 6%(0.7) AFR.DUST <1%(<0.2) <1%(<0.2) <1%(0.3) <1%(<0.2) 45%(10) S.SALT 5%(1.3) 3%(0.4) 1%(0.1) 1%(0.5) 2%(0.2) S.SALT <1%(<0.2) 1%(0.3) <1%(0.4) 1%(0.7) 1%(0.3)

*Shipping in ATH includes also heavy oil combustion from industrial plants and maybe some residential oil combustion for heating as well.

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2003-2014 source apportionment: Barcelona