1 / 38

Comprehensive Data Set from The MEGAPOLI Paris Campaign

Explore the urban aerosol characterization data set from MEGAPOLI Paris campaign for evaluating air quality models. Assess impacts of megacities on air quality and climate, and quantify feedbacks. Document aerosol composition and properties variability in Ile de France region.

philipbrown
Download Presentation

Comprehensive Data Set from The MEGAPOLI Paris Campaign

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The MEGAPOLI Paris campaign for urban aerosol characterisation – a comprehensive data set for air quality model evaluation M. Beekmann (1), A. Borbon (1), J. Sciare (2), V. Gros (2), A. Prevot (3), U. Baltensperger (3), A. Wiedensohler (4), F. Drewnick (5), S. Pandis (6), A. Baklanov (7), M. Lawrence (5), and the MEGAPOLI Paris- campaign team (1) LISA, France, (2) LSCE, France, (3) PSI, Switzerland, (4) IfT, Germany, (5) MPI, Germany, (6) FORTH, Greece, (7) DMI, Denmark, HARMO June 1 – 4 2010, Paris

  2. I. FP7 MEGAPOLI OBJECTIVES Megacities: Emissions, urban, regional and Global Atmospheric POLlution and climate effects, and Integrated tools for assessment and mitigation • The main objectives • Objective 1: to assess impacts of megacities and large air-pollution “hot-spots” on local, regional, and global air quality; • Objective 2: to quantify feedbacks between megacity air quality, local and regional climate, and global climate change; • Objective 3: to develop improved integrated tools for prediction of air pollution in megacities and their surrounding areas

  3. Ile de France Campaign objectives • provide new experimental data to better quantify sources of primary and secondary organic aerosol in a large agglomeration and its plume Document aerosol composition and properties variability OA Source apportionnement Four major tasks • Integrated data set • for Model evaluation and improvement • Aerosol compostion • +-phys. chem. properties • Gas phase • Transport Quantify SOA build-up in urban area and plume from VOC

  4. Forest Why Ile de France region for this campaign ? PARIS 20km Forest Region Ile-de-France = 12 million inhabitants (20% of the French population Population density (PARIS)= 20,000 inh. / km² Surrounded by rural areas Dense scientific infrastructure

  5. 2007 2008 WHO recommandation US-EPA EU limit value (2020) EU limit value (2015) EU target value (2010) EU limit value (2008) Annual PM2.5 mean concentrations in 2007 and 2008 Traffic stations Urban stations Courtesy J. Sciare / LSCE

  6. II. Campaign set-up • Summer (July) 2009 campaign • Winter (January 15 – Febraury 15) campaign

  7. Instrumentation set-up and parameters measured * In situ ** Gases: *** pollution tracers: CO, O3, NOx, NOy, *** aerosol precursors: (O)VOC (cartridges, PTR-MS….), H2SO4 *** radical budget : OH, HO2, HONO, J’s ** Aerosol *** mass, size and number *** physical properties (volatility, optical, hygroscopicity) *** chemical composition: OA components and individual species, BC, dust, ions, … **** rapid AMS, PILS, MAAP, ECOC **** detailed (filters with ~100 individual compounds) ** Dynamic (wind , T, turbulent fluxes, …) * Remote ** spectroscopic -> gas columns (NO2, HCHO, CO, O3, …..) ** Lidar (backscatter, partly multi-l, polarized) ** wind profils (sodar, lidar)

  8. Forest The geographical set-up GOLF POUDRIERE PARIS 20km Forest LHVP SIRTA 3 primary sites => full suite of in situ measurements / + meteo at SIRTA.

  9. Forest Tour Eiffel,Ballon Air de Paris GOLF POUDRIERE PARIS Jussieu 20km Forest Créteil LHVP SIRTA 3 primary sites => suite of in situ measurements / + meteo at SIRTA. 3 secondary sites => lidar and spectrospcopic measurments / or in some situ

  10. Forest Tour Eiffel,Ballon Air de Paris GOLF POUDRIERE PARIS Jussieu 20km Forest Créteil LHVP SIRTA 3 primary sites => suite of in situ measurements / + meteo at SIRTA. 3 secondary sites => lidar and spectrospcopic measurments / or in some situ 3 mobile labs => full in situ measurements (PSI + MPI) + Univ Duisburg 1 mobile lab => lidar measurements (CEA) 1 mobile lab => MAXDOAS (MPI)

  11. Forest ATR - 42 Tour Eiffel,Ballon Air de Paris GOLF POUDRIERE PARIS Jussieu 20km Forest Créteil LHVP SIRTA 3 primary sites => suite of in situ measurements / + meteo at SIRTA. 3 secondary sites => lidar and spectrospcopic measurments / or in some situ 3 mobile labs => full in situ measurements (PSI + MPI) + Univ Duisburg 1 mobile lab => lidar measurements (CEA) 1 mobile lab => MAXDOAS (MPI) 1 aircraft ATR-42 => full in situ measurements (SAFIRE, CNRS, MPI)

  12. Forest Piper Aztec GOLF POUDRIERE PARIS Jussieu 20km Forest Créteil LHVP SIRTA In addition during winter => ALS - LEOSPHERE lidar network (five sites)

  13. Organisation / Participants • Initial FP7 partners : • CNRS (LISA, LSCE, GAME, LaMP, LGGE, subcontractor SAFIRE), PSI, IfT, FORTH, Univ. Helsinki • Additionnal EU Participants : • MPI, Univ. College Cork, FMI, Univ. Duisburg • Additional French Participants : • AIRPARIF, CEREA, Ecole de Mines, INERIS, LCME, LCP-IRA, LATMOS, LHVP, QUALAIR, SIRTA/LMD/IPSL • lead : M. Beekmann (LISA-CNRS), U. Baltensperger (PSI) • Ground based segment : Jean Sciare, Valerie Gros (LSCE) • Airborne segment : Agnès Borbon (LISA) • Ad hoc coordinating commitee with above persons, MEGAPOLI coordinators, aircraft instrument PI’s, and site responsibles

  14. III. First campaign results and how to be used for model evaluation • Meteo / Transport • Emissions • Gas phase chemistry • (Organic) aerosol chemical composition • Aerosol properties

  15. Meteo / Transport

  16. July 2009 Surface meteorology in July 2009 SIRTA (suburban sit) Mean temperature diurnal cycle Distribution of wind direction Occurrence (%) Temperature (°C) N E S W N Hours of the day Wind Direction (deg) Occurrence of precipitation Precipitation (mm) Measurements made at SIRTA Day in July 2009

  17. Surface meteorology in Jan/feb 2010 SIRTA (periurban) Distribution of wind direction Jan. 2010 Occurrence (%) N E S W N Wind Direction (deg) Measurements made at SIRTA/IPSL Ecole Polytechnique, Palaiseau M. Haeffelin SIRTA / IPSL Snow and fog at the SIRTA site

  18. PBL height derived from lidar and ceilometer measurements LHVP – SIRTA vs. MM5 and WRF Courtesy M. Haeffelin, SIRTA H. Petetin, LISA

  19. Systematic comparison for July 2009 (afternoon) Difference obs. – sim.

  20. Simulations avec NFS/MM5/ CHIMEREQ. Zhang, M. Beekmann LISA Mesures ATR-42 Aethalometer (A. Schwarzeboeck, CNRS/ Lamp)

  21. Emissions

  22. Pollution alert Carbonaceous aerosols Wood burning indicator EU limit Specific local (wood burning) pollution event Courtesy J. Sciare (LSCE)

  23. Gas phase chemistry

  24. LHVP: long-lived compounds time series Local /regional + continental pollution Local / Regional pollution Courtesy V. Gros, LSCE

  25. Diurnal radical profiles at SIRTA SAMU July 11 July 20 Blue JO1D OH OH RO2 H2SO4 • Combination with HOx source and sink measuements • Radical closure experiment Courtesy A. Kukui, LATMOS

  26. Aerosol chemistry

  27. Context: Large uncertainties on primary and secondary organic sources POA is semivolatile and can be oxidised ! (Robinson et al., 2007) POA is semivolatile (Robinson et al., 2007) In addition => Aging of SOA : Oxidation, Oligomerisation / Polymerisation talk Q.J. Zhang on Thursday morning

  28. Paris HOA Model-VBS POA Model-Classic OOA AMS Poor man’s PMF HOA/BBOA AMS Poor man’s PMF SOA Model -Classic OOA Model -VBS Simulation results (LHVP-Urban site) vs. ground based AMS measurements (PM1) µg/m3 In VBS, POA SVOC+IVOC gas phase  reduce POA (aerosol)‏ µg/m3 Continental Local

  29. The continental advection case: January 26-28OBS. + CHIMERE simulations CHIMERE NITRATE OOA SULFATE

  30. Aerosol properties

  31. Ambient + Heated Organic PM vs Time Thermodenuder+SMPS+PSI AMS Typical thermogram (roughly half the OA evaporated at 80oC) Organic PM Volatility (SIRTA) results from FORTH & CM S.Pandis et al.

  32. Conclusion • Megapoli Paris campaign data will allow extensive evaluation of urban / regional scale air quality models • Pollution plume is well identified at 100 – 150 km downwind from Paris even for rather clean conditions in summer • Oxygenated organic aerosol (OOA) seems to be major OA component during summer (preliminary result) • Winter : much larger gas phase and aerosol concentrations of both local/regional and continental origin • Strong wood burning source for OA in winter

  33. More material • http://megapoli.dmi.dk/ • http://megapoli.lisa.univ-paris12.fr • Acknowledgements • . Support from FP7 / MEGAPOLI ANR French national program French LEFE-CHAT / ADEME Ile de France Soutien SEPPE IdF Other national + lab support Logistical support SIRTA , LHVP , Golf de la Poudrière Forecast PREVAIR www.prevair.org

  34. Acknowledgements MEGAPOLI team • M. Beekmann1, U. Baltensperger2, A. Borbon1, J. Sciare3, V. Gros3, A. Baklanov4, M. Lawrence5, S. Pandis6, V.Kostenidou6, M.Psichoudaki6, L. Gomes7, P. Tulet7, A. Wiedensohler8, A. Held*, L. Poulain8, K.Kamilli8, W. Birmli8, A. Schwarzenboeck9, K. Sellegri9, A. Colomb9, J.M. Pichon9, E.Fernay9, J.L. Jaffrezo10, P. Laj10, C. Afif1, V. Ait-Helal1*, B. Aumont1, S. Chevailler1, P. Chelin1, I. Coll1, J.F. Doussin1, R. Durand-Jolibois1, H. Mac Leod1, V. Michoud1, K. Miet1, N. Grand1, S. Perrier1, H. Petetin1, T. Raventos1, C. Schmechtig1, G. Siour1, C. Viatte1, Q. Zhang1**, P. Chazette3, M. Bressi3, M. Lopez5, P. Royer3, R. Sarda-Esteve3, F. Drewnick5, J. Schneider5, M. Brands5, S. Bormann5, K. Dzepina5, F. Freutel5, S. Gallavardin5, T. Klimach5, T. Marbach5, R. Shaiganfar5, S.L. Von der Weiden5, T. Wagner5, S.Zorn5, P. De Carlo2, A. Prevot2, M. Crippa2, C. Mohr2, Marie Laborde2, M. Gysel2, Roberto Chirico2, Maarten Heringa2, A. Butet11, A. Bourdon11, E. Mathieu11, T. Perrin11, SAFIRE team, J.Wenger12, R. Healy12, I.O. Connor12, E. Mc Gillicuddy12, P. Alto13, J.P.Jalkanen13, M. Kulmala13, P Lameloise14, V. Ghersi14, O. Sanchez14, A. Kauffman14, H. Marfaing14, C. Honoré14, L. Chiappini15, O. Favez15, F. Melleux15, G. Aymoz15, B. Bessagnet15, L. Rouil15, S. Rossignol15, M. Haeffelin16, C. Pietras16, J. C. Dupont16, and the SIRTA team, S. Kukui17, E. Dieudonné17, F. Ravetta17, J.C.Raut17,G. Ancellet17, F. Goutail17, J.L Besombes18, N. Marchand19, Y. Le Moullec20, J. Cuesta21,Y.Te21, N. Laccoge22, S. Lolli23, L. Sauvage23, S.Loannec23, D. Ptak24, A. Schmidt24, S. Conil25, M. Boquet26, 1Laboratoire InterUniversitaire des Systèmes Atmosphériques (LISA), Université Paris Est et 7, CNRS, Créteil, France, 2 Paul Scherrer Institut, Villingen, Switzerland, 3Laboratoire des Sciences du Climat et de l’Environnement (LSCE), Gif sur Yvette, France,, 4 Danish Meteorological Institute, Copenhagen, Denmark, 5Max-Planck-Institute for Chemistry, Mainz, Germany, 6Foundation for Research and Technology, Hellas, University of Patras, Greece, 7Game,Centre National de Recherche Météorologique, Toulouse , France , 8Institut für Troposphärenforschung, Leipzig, Germany, 9Laboratoire de Météorologie Physique, Clermont-Ferrand, France, 10Laboratoire de Glaciologie et Géophysique de l’Environnement, Grenoble, France , 11SAFIRE, Toulouse, France, 12University College Cork, Ireland, 13University Helsinki, Finland , 14AIRPARIF, Paris, France, 15INERIS, France, ,16SIRTA/IPSL, Palaiseau, France, 17Laboratoire Atmosphères, Milieux, Observations Spatiales, Paris, France, ,18Laboratoire de Chimie Moléculaire et Environnement, Chambery, France, 19Laboratoire de Chimie Provence, Marseille, France, 20Laboratoire de l’Hygiène de la Ville de Paris, France,, 21Laboratorie de Météorologie Dynamique, Palaiseau, France , 22Département Environnement et Chimie, Ecole de Mines de Douais, France, ,, 23LEOSPHERE, France, 24Universität Duisburg-Essen), Germany, 25ANDRA, Châtenay-Malabry, France, 26CEREA, Marne La Vallée, France , **also ARIA-Technologie. France

  35. Photo-gallerie

  36. Wind profiling by Lidar 29/07 Courtesy M. Haeffelin, SIRTA Mixing layer depth retrieval by lidar ALS450 - SIRTA SUMMER hourly mean mixing height by Ceilometer during July 2009 at LHVP, Convective PBL height 01/07 22/01 Winter Courtesy N. Eresmaa , FMI

  37. Systematic comparison for July 2009 (night) Difference obs. – sim.

  38. ModelvsAMSPM1 observations at urban site during July 2009 [µg/m3]

More Related