A new methodology to assess the performance and uncertainty of source apportionment models II: The results of two European intercomparison exercises
作者: C.A. BelisF. KaragulianF. AmatoM. AlmeidaP. ArtaxoD.C.S. BeddowsV. BernardoniM.C. BoveS. CarboneD. CesariD. ContiniE. CucciaE. DiapouliK. EleftheriadisO. FavezI. El HaddadR.M. HarrisonS. HellebustJ. HovorkaE. JangH. JorqueraT. KammermeierM. KarlF. LucarelliD. MooibroekS. NavaJ.K. NøjgaardP. PaateroM. PandolfiM.G. PerroneJ.E. PetitA. PietrodangeloP. PokornáP. PratiA.S.H. PrevotU. QuassX. QuerolD. SaragaJ. SciareA. SfetsosG. Valli
作者单位: 1European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via Enrico Fermi 2749, Ispra (VA) 21027, Italy
2Institute of Environmental Assessment and Water Research, Spanish Research Council (IDÆA-CSIC), c/Jordi Girona 18-26, 08034 Barcelona, Spain
3C2TN, Instituto Superior Técnico, Universidade de Lisboa, Estrada Nacional 10 km 139.7, 2695-066 Bobadela LRS, Portugal
4Instituto de Fisica, Universidade de Sao Paulo, Rua do Matao, Traversa R, 187 05508-900 Sao Paulo, Brazil
5Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom
6Dept. of Physics, Università degli Studi di Milano & INFN-Milan, via Celoria 16, Milan 20133, Italy
7University of Genoa, Dept. of Physics and INFN, via Dodecaneso 33, 14146 Genova, Italy
8Finnish Meteorological Institute, Atmospheric Composition Research, PO Box 503, FI-00101 Helsinki, Finland
9Istituto di Scienze dell'Atmosfera e del Clima, ISAC-CNR Str., Prv. Lecce-Monteroni km 1.2, 73100 Lecce, Italy
10Institute of Nuclear and Radiological Science & Technology, Energy & Safety, N.C.S.R. “Demokritos”, 15341 Athens, Greece
11Institut National de l’Environnement Industriel et des Risques (INERIS), Verneuil-en-Halatte, France
12Laboratory of Atmospheric Chemistry (LAC), Paul Scherrer Institut, Villigen, Switzerland
13Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, PO Box 80203, Jeddah 21589, Saudi Arabia
14Centre for Research into Atmospheric Chemistry, Dept. Chemistry, University College, Cork, Ireland
15Institute for Environmental Studies, Charles University in Prague, Albertov 6, 128 43 Prague 2, Czech Republic
16Departamento de Ingeniería Química y Bioprocesos, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Santiago 6904411, Chile
17IUTA e.V., Bereich Luftreinhaltung & Nachhaltige Nanotechnologie, Institut für Energie- und Umwelttechnik e.V., Bliersheimer Strasse 60, D-47229 Duisburg, Germany
18Urban Environment and Industry, Norwegian Institute for Air Research (NILU), PO Box 100, NO-2027 Kjeller, Norway
19Department of Physics and Astronomy and INFN, Firenze, Italy
20National Institute of Public Health and the Environment, Centre for Environmental Quality (MIL), Department for Air and Noise Analysis (ILG), PO Box 1, 3720 BA Bilthoven, The Netherlands
21Department for Environmental Science, Aarhus University, Frederiksborgvej 399, PO Box 358, DK-4000 Roskilde, Denmark
22Department of Physics, University of Helsinki, Rikalantie 6, FI-00970 Helsinki, Finland
23Department of Earth and Environmental Sciences, University of Milano-Bicocca, P.zza della Scienza 1, 20126 Milan, Italy
24C.N.R., Institute of Atmospheric Pollution Research, Area della Ricerca di Roma 1, Via Salaria Km 29,300, Monterotondo (RM) 00015, Italy
25IN.RA.S.T.E.S., NCSR Demokritos, P. Grigoriou and Neapoleos Str, 153 10 Agia Paraskevi, Greece
26CNRS LSCE, France
27Laboratory of Atmospheric Pollution (LCA), Miguel Hernández University, Av. de la Universidad s/n, Edif. Alcudia, 03202 Elche, Spain
28Center for Air Resources Engineering and Science, Clarkson University, Box 5708, Potsdam, NY 13699-5708, USA
刊名: Atmospheric Environment, 2015, Vol.123 , pp.240-250
来源数据库: Elsevier Journal
DOI: 10.1016/j.atmosenv.2015.10.068
关键词: Source apportionmentReceptor modelsIntercomparison exerciseModel performance indicatorsModel uncertaintyParticulate matter
英文摘要: Abstract(#br)The performance and the uncertainty of receptor models (RMs) were assessed in intercomparison exercises employing real-world and synthetic input datasets. To that end, the results obtained by different practitioners using ten different RMs were compared with a reference. In order to explain the differences in the performances and uncertainties of the different approaches, the apportioned mass, the number of sources, the chemical profiles, the contribution-to-species and the time trends of the sources were all evaluated using the methodology described in Belis et al. (2015).(#br)In this study, 87% of the 344 source contribution estimates (SCEs) reported by participants in 47 different source apportionment model results met the 50% standard uncertainty quality objective...
全文获取路径: Elsevier  (合作)
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影响因子:3.11 (2012)

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