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Organic source apportionment with the ACSM PDF

14 Pages·2014·1.66 MB·English
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Organic source apportionment with the ACSM – SoFi tool and intercomparison Roman Fröhlich1, Claudio A. Belis3, Vincent Crenn2, Francesco Canonaco1, Jay G. Slowik1, Olivier Favez4, Jean Sciare2, André S. H. Prévôt1 and the ACTRIS-ACSM community 1Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen PSI, Switzerland 2Laboratoire des Sciences du Climat et de l'Environnement, LSCE, CNRS-CEA-UVSQ, Gif-sur-Yvette, France 3European Commission, Joint Research Centre, Institute for Environment and Sustainability, Ispra (VA), Italy 4INERIS, Verneuil-en-Halatte, France Roman Fröhlich –AMS Users Meeting –Busan, Korea – Aug 2014 1 ACTRIS ACSM network Check: http://www.psi.ch/acsm-stations/ Overview paper in prep. by Bressi et al. (JRC) Roman Fröhlich –AMS Users Meeting –Busan, Korea – Aug 2014 2 Intercomparison at SIRTA near Paris Organized by: J. Sciare, LSCE V. Crenn, LSCE O. Favez, INERIS 3 groups of 4 ACSMs common PM inlet / group 2.5 One dryer / ACSM 1SMPS (INERIS) qualified by TROPOS (ACTRIS intercomparison Sept. 2013) Co-located instruments TEOM-FDMS (PM1), SMPS (PM1), PILS-IC (PM1), PILS-MS (PM1), OCEC Sunset Inst. (PM1), PARTISOL (PM1), NEPHELOMETER (PM1) AETHALOMETER (PM1), PTR-MS Roman Fröhlich –AMS Users Meeting –Busan, Korea – Aug 2014 3 Intercomparison at SIRTA near Paris 15 instruments were intercompared during 2 weeks (13 ACSMs, one AMS, one ToF-ACSM) ACSM ID ACSM type Station ID of ACSM Laboratory Country location A140-104 Q-ACSM Hyytiälä University of Helsinki Finland A140-110 Q-ACSM Montseny IDAEA-CSIC Spain A140-113 Q-ACSM Sirta LSCE France A140-133 Q-ACSM Mace Head NUIG Ireland A140-134 Q-ACSM Hohenpeissenberg DWD Germany A140-142 Q-ACSM Cape Corsica LSCE France A140-143 Q-ACSM Melpitz TROPOS Germany A140-144 Q-ACSM Birkenes NILU Norway A140-145 Q-ACSM Cabauw PSI Switzerland A140-151 Q-ACSM Ispra ENEA Italy A140-152 Q-ACSM Bologna ISAC-CNR Italy A140-153 Q-ACSM Madrid CIEMAT Spain A140-156 Q-ACSM North Kensington King’s College UK A003 ToF-ACSM Jungfraujoch PSI Switzerland -> presentation of V. Crenn at IAC (Sept 2, 16:30-18:00, room A) Roman Fröhlich –AMS Users Meeting –Busan, Korea – Aug 2014 4 PMF/ME-2 source apportionment SoFi = Source Finder: http://psi.ch/hgdp -> see presentation of F. Canonaco Canonaco et al., AMT 2013 Roman Fröhlich –AMS Users Meeting –Busan, Korea – Aug 2014 5 Organic time series – 15 instruments Roman Fröhlich –AMS Users Meeting –Busan, Korea – Aug 2014 6 Organic source apportionment – HR-AMS Start with HR-ToF-AMS SA: best source resolution -> 4 factors could be identified by PMF Roman Fröhlich –AMS Users Meeting –Busan, Korea – Aug 2014 7 Organic source apportionment – ACSM - PMF organic source apportionment performed on all (14) ACSM datasets - Lower time + mass resolution –> a-value approach - Same 4 sources found in all datasets - Validation and optimisation of each solution by: Identification of diurnal trends & Correlation with external data Roman Fröhlich –AMS Users Meeting –Busan, Korea – Aug 2014 8 Organic source apportionment – ACSM Roman Fröhlich –AMS Users Meeting –Busan, Korea – Aug 2014 9 Organic source apportionment – ACSM Deviation: < +/- 20% for all sources -> PMF source apportionment reproducable + reliable for ACSM data BUT: Roman Fröhlich –AMS Users Meeting –Busan, Korea – Aug 2014 10

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Roman Fröhlich – AMS Users Meeting – Busan, Korea – Aug 2014. 1. Organic source apportionment with the ACSM – SoFi tool and intercomparison.
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