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Xavier Querol & Fulvio Amato, IDAEA-CSIC

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Presentation on theme: "Xavier Querol & Fulvio Amato, IDAEA-CSIC"— Presentation transcript:

1 Xavier Querol & Fulvio Amato, IDAEA-CSIC
Airuse-Life+: a harmonized PM speciation & source apportionment in 5 Southern European cities Xavier Querol & Fulvio Amato, IDAEA-CSIC

2 Eeftens et al. (2012) Atmospheric Environment
MEAN PM10 & PM2.5 LEVELS IN EUROPE ESCAPE Eeftens et al. (2012) Atmospheric Environment

3 PECULIARITIES OF SOUTHERN EUROPEAN CITIES

4 Trends of number of AQ zones with PM10 exceedances

5 BaP 2013, Catalonia, NE Spain

6 THE AIRUSE PROJECT AIMS Specific PM mitigation measures
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) measures to abate urban ambient air PM in S.-EU, to meet AQ standards & to approach WHO guidelines. Specific objectives Obtaining harmonized source contributions to PM for AIRUSE cities & to identify those responsible for exceedances of the PM limit values and WHO guidelines Develop, test and propose cost-effective air mitigation measures for South European countries Support adaptation of control strategies for reducing PM exposure in South Europe 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…)

7 AIRUSE COORDINATION STRUCTURE
Coordinating Beneficiary Project Manager Spain Associated Beneficiaries Leader B5 D5 Spain Leader B8 UK Leader B3 D2 Greece Leader B2 Italy Leader B4 Portugal Milan Italy

8 AIR QUALITY TRENDS SPAIN 2001-2012
−3.6 to −7.7%/year −2.8 to −3.7%/year −2.3 to−4.2%/year −6.1%/year −2.5%/year Querol et al., Science of Total Environment

9 AQ TRENDS SPAIN −3.8%, −6.4% and −5.1%/year −3.1%/year +1.7, +3.0 and +1.2%/year Querol et al., Science of Total Environment

10 19/11/2014

11 AQ TRENDS SPAIN −1.9,−3.3, and−4.7%/year −2.7%/year −1.7 to -5.1%/year −1.7 to -3.4%/year −2.5%/year −2.2%/year Querol et al., Science of Total Environment

12

13 2003-2014 PM10 and PM1 source apportionment: Barcelona
See M. Pandolfi’s talk on Wednesday

14 ANNUAL PM10 AVERAGES FI-AGG ATH-GAA

15

16 HARMONIZED 2013 PM10 & PM2.5 SOURCE APPORTIONMENT
1047 PM10 samples 1116 PM2.5 samples

17 HARMONIZED 2013 PM10 & PM2.5 SOURCE APPORTIONMENT
Example PM10

18 HARMONIZED 2013 PM10 & PM2.5 SOURCE APPORTIONMENT

19 Traffic contributions PM10 PM10
VEX (7-23%), NEX (8-11%), SNI (5-18%) at SUB-UB sites, VEX and NEX are nowadays similar at the TR site VEX dominates (Maritime climate) PM2.5 PM2.5 VEX (6-31%), NEX (1-9%), SNI (2-19%) VEX dominates in PM2.5, except in MLN

20 HARMONIZED 2013 PM10 & PM2.5 SOURCE APPORTIONMENT
Levoglucosan PM2.5 K

21 2013 MEAN EXCEEDANCES DAYS

22 Thank you very much for your attention!!!
ACKNOWLEDGEMENTS 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 (Project ACEPT AIR) Thank you very much for your attention!!!

23 PM10 (days of exceedance)
PM10 (annual mean) 36-45% (ATH 15%) 27-34% (ATH 6%) 14-29% (ATH 3%, POR 6%) BCN 19%, 2-9% POR 27%, 1-4% 25-35%, ATH 1%, negligible in BCN BCN 17%, <1-4% 6-9% (1-2% POR & ATH) 3-4% in coastal sites ATH 52%, 1% ATH 7%, 1-3% 11-33%, ATH 4% PM10 (days of exceedance) 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 SO42- dominated pollution: 14-26% (POR-TR 10%) 3. Local dust : 7-19% 4. Biomass burning very relevant in MLN, POR & FI (14-24%), in ATH (7%) and negligible in BCN 5. Industry BCN 11%, 4-9%, ATH <1% 6. Non traffic-NO3- 5-8% (2% POR) 7. Shipping 4% in coastal sites 8. African dust ATH 14%, 1-4% 9. Sea salt POR 13%, 3-8% 10. Anthropogenic dust (Local dust + Non exhaust) reaches 16-25% 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 SO42- 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% 32-42% (ATH 11%) 31-40% (ATH 10%) 1-8% 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)

24 Querol et al., 2014. Science of Total Environment

25 POR-TR BCN-UB FI-UB MLN-UB ATH-SUB
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 TRAFFIC 38%(13) 33%(7) 31%(6) 34%(13) 23%(5) 36%(24) 45%(22) 43%(31) 34%(--) 9%(6) Exhaust 23% 14% 13% 7% 10% 25% 5% 5%(--) 4% Non-exhaust 9% 11% 8% 6% 14%(--) 3% TR-NO3- 18% 29% 22%(--) 2% REG (OC+SO42-) 10%(4) 26%(6) 21%(4) 14%(6) 20%(4) 5%(3) 19%(9) 6%(4) 9%(--) 2%(1.7) L.DUST 19%(6) 11%(3) 12%(2) 7%(3) 10%(2) 27%(17) 4%(1.8) 2%(1.8) 3%(--) 1%(1.1) BIOMASS BURN. 14%(5) <2%(<0.5) 16%(3) 20%(7.8) 7%(1.4) 25%(16) 30%(22) 35%(--) 1%(0.6) INDUST 4%(1.2) 5%(0.9) 9%(3.7) <1%(<0.2) 2%(1.2) 17%(8) 3%(2) 4%(--) nTR-NO3- 2%(0.8) 8%(1.8) 6%(1.2) 5%(2.0) 7%(1.5) 2%(1.3) 9%(4) 7%(5) 6%(--) SHIPPING <1% (<0.2) 4%(0.9) 4%(0.8)* 4%(2) 3%(2.3)* AFR.DUST 1%(0.3) 4%(0.7) 14%(3) <1%(0.2) 52%(38) S.SALT 13%(4) 6%(1.5) 3%(0.6) 3%(1.0) 7%(1.6) 3%(1.9) 1%(0.5) 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.

26 POR-TR BCN-UB FI-UB MLN-UB ATH-SUB
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 TRAFFIC 39%(10) 28%(4) 31%(4) 34%(10) 22%(2.5) 35%(23) 42%(14) 32%(22) 39%(21) 11%(3) Exhaust 31% 20% 18% 6% 15% 30% 5% 4% 9% Non-exhaust 1% 2% 3% 7% TR-NO3- 11% 19% 26% 28% REG (OC+SO42-) 13%(3) 37%(6) 29%(4) 19%(6) 34%(4) 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) 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) 33%(22) 33%(23) 26%(14) 2%(0.5) INDUST 5%(1.3) 12%(1.8) 6%(0.8) <1% (<0.1) 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) 1%(0.4) 9%(3) 8%(4.3) 3%(0.6) SHIPPING 5%(0.7) 7%(0.8) * 6%(2) 10%(2)* AFR.DUST 1%(0.2) 6%(0.7) <1%(0.3) 45%(10) S.SALT 3%(0.4) 1%(0.1) 1%(0.5) 2%(0.2) <1%(0.4) 1%(0.7) *Shipping in ATH includes also heavy oil combustion from industrial plants and maybe some residential oil combustion for heating as well.

27 At each site, 3 traffic sources were found
Vehicle exhaust (VEX) Vehicle non-exhaust (NEX) Secondary nitrate (SNI), traffic-related share based on EI of NOx

28 PMF profiles vs Experimental profiles

29 Annual means

30 High pollution days

31 2003-2014 source apportionment: Barcelona

32 AIRUSE STRUCTURE: ACTIONS & TASKS (1/2)
ACTION A. Preparatory actions A.1 Authorities and stakeholders consultation B1. Documentation of the current status ACTION B. Implementation actions B2. Harmonization and implementation of source apportionment using receptor modelling & determination of the impact of: B7. Developing & testing cost-effective PM measures & strategies B3. Natural sources B4. Biomass burning B8. Applicability of selected measures from N to S Europe B5. Industrial sources B6. Traffic related sources Intensive additional work on inventories, emission chemical profiles, emission factors C1. Effectiveness of the project actions ACTION C. Implementation actions C2. Assessment of the socio-economic impact

33 AIRUSE STRUCTURE: ACTIONS & TASKS (2/2)
D1. Project website D2. LIFE+ Information boards ACTION D. Communication & Dissemination actions 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 ACTION E. Project management & monitoring of the project progress E3. Networking with other projects E4. After-LIFE+ Plan

34 HARMONIZED 2013 PM10 & PM2.5 SOURCE APPORTIONMENT
DAILY (P90.4) ANNUAL PM2.5 ATV (2008/50/EC) DLV (2008/50/EC) µg/m3 µg/m3 WHO GUIDE ANNUAL ALV (2008/50/EC) PM2.5/PM10 PM10 µg/m3 WHO GUIDE


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