An inter-comparison of PM10 source apportionment using PCA and PMF receptor models in three European sites
暂无分享,去创建一个
X. Querol | A. Alastuey | M. Pandolfi | F. Amato | D. Contini | D. Cesari
[1] G. Mascolo,et al. Source apportionment of PM(2.5) in the harbour-industrial area of Brindisi (Italy): identification and estimation of the contribution of in-port ship emissions. , 2014, The Science of the total environment.
[2] Andrea Mazzino,et al. An integrated PM2.5 source apportionment study: Positive Matrix Factorisation vs. the chemical transport model CAMx , 2014 .
[3] Daniele Contini,et al. Characterization of PM10 and PM2.5 and Their Metals Content in Different Typologies of Sites in South-Eastern Italy , 2014, ATMOS 2014.
[4] P. Ielpo,et al. Source apportionment of size-segregated atmospheric particles based on the major water-soluble components in Lecce (Italy). , 2014, The Science of the total environment.
[5] C. Perrino,et al. Seasonal variations in the chemical composition of particulate matter: a case study in the Po Valley. Part I: macro-components and mass closure , 2014, Environmental Science and Pollution Research.
[6] R. Salzano,et al. Characterisation of the local topsoil contribution to airborne particulate matter in the area of Rome (Italy). Source profiles , 2013 .
[7] Philip K. Hopke,et al. Critical review and meta-analysis of ambient particulate matter source apportionment using receptor models in Europe , 2013 .
[8] C Belis,et al. Enhancing source apportionment with receptor models to foster the air quality directive implementation , 2012 .
[9] Andrea Gambaro,et al. Comparison of PM10 concentrations and metal content in three different sites of the Venice Lagoon: an analysis of possible aerosol sources. , 2012, Journal of environmental sciences.
[10] M. Stafoggia,et al. African dust outbreaks over the Mediterranean Basin during 2001–2011: PM 10 concentrations, phenomenology and trends, and its relation with synoptic and mesoscale meteorology , 2012 .
[11] L. Daniele,et al. Analysis of raw soils and their re-suspended PM10 fractions: Characterisation of source profiles and enrichment factors , 2012 .
[12] Borowiak Annette,et al. Results of the European Intercomparison exercise for Receptor Models 2011-2012. Part I , 2012 .
[13] Georgios Argyropoulos,et al. Development and application of a robotic chemical mass balance model for source apportionment of atmospheric particulate matter , 2011, Environ. Model. Softw..
[14] X. Querol,et al. Source apportionment of PM10 and PM2.5 at multiple sites in the strait of Gibraltar by PMF: impact of shipping emissions , 2011, Environmental science and pollution research international.
[15] Christian George,et al. Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France) , 2010 .
[16] J. C. Galloo,et al. PM10 metal concentrations and source identification using positive matrix factorization and wind sectoring in a French industrial zone , 2010 .
[17] A. Donateo,et al. Characterisation and source apportionment of PM10 in an urban background site in Lecce , 2010 .
[18] Roy M. Harrison,et al. Identification of brake wear particles and derivation of a quantitative tracer for brake dust at a major road , 2010 .
[19] C. Barbante,et al. An evaluation of the PM2.5 trace elemental composition in the Venice Lagoon area and an analysis of the possible sources , 2009 .
[20] Mar Viana,et al. Chemical tracers of particulate emissions from commercial shipping. , 2009, Environmental science & technology.
[21] G. Kallos,et al. African dust contributions to mean ambient PM10 mass-levels across the Mediterranean Basin , 2009 .
[22] M. Navarro,et al. Comparison of receptor models for source apportionment of the PM10 in Zaragoza (Spain). , 2009, Chemosphere.
[23] Peter D. Wentzell,et al. Comparison of the results obtained by four receptor modelling methods in aerosol source apportionment studies , 2009 .
[24] Monica Pandolfi,et al. Quantifying road dust resuspension in urban environment by Multilinear Engine: A comparison with PMF2 , 2009 .
[25] Nikos Mihalopoulos,et al. Origin and source regions of PM10 in the Eastern Mediterranean atmosphere , 2009 .
[26] P. Prati,et al. Coarse Particulate Matter Apportionment around a Steel Smelter Plant , 2009, Journal of the Air & Waste Management Association.
[27] Mar Viana,et al. Spatial and chemical patterns of PM10 in road dust deposited in urban environment , 2009 .
[28] Yuan Gao,et al. Acidic species and chloride depletion in coarse aerosol particles in the US east coast. , 2008, The Science of the total environment.
[29] Eliseo Monfort,et al. Receptor models application to multi-year ambient PM10 measurements in an industrialized ceramic area: comparison of source apportionment results , 2008 .
[30] F. Lucarelli,et al. Quantification of Saharan and local dust impact in an arid Mediterranean area by the positive matrix factorization (PMF) technique , 2008 .
[31] P. Hopke,et al. Source apportionment of particulate matter in Europe: A review of methods and results , 2008 .
[32] Eliseo Monfort,et al. Spatial and temporal variations in airborne particulate matter (PM10 and PM2.5) across Spain 1999–2005 , 2008 .
[33] M. Viana,et al. Inter-comparison of receptor models for PM source apportionment: Case study in an industrial area , 2008 .
[34] Gary A. Norris,et al. The Krakow receptor modelling inter-comparison exercise , 2008 .
[35] A. Gupta,et al. Source apportionment of PM10 at residential and industrial sites of an urban region of Kolkata, India , 2007 .
[36] P. Paatero,et al. PM source apportionment and health effects: 1. Intercomparison of source apportionment results , 2006, Journal of Exposure Science and Environmental Epidemiology.
[37] Peter Wåhlin,et al. Characterisation of traffic-generated particulate matter in Copenhagen , 2006 .
[38] Philip K. Hopke,et al. Discarding or downweighting high-noise variables in factor analytic models , 2003 .
[39] Paolo Zannetti. Air quality modeling : theories, methodologies, computational techniques, and available databases and software , 2003 .
[40] X. Querol,et al. Sources and processes affecting levels and composition of atmospheric aerosol in the western Mediterranean , 2002 .
[41] R. Vecchi,et al. Characterisation of PM10 and PM2.5 particulate matter in the ambient air of Milan (Italy) , 2001 .
[42] Xavier Querol,et al. Monitoring of PM10 and PM2.5 around primary particulate anthropogenic emission sources , 2001 .
[43] P. Paatero,et al. Application of positive matrix factorization in source apportionment of particulate pollutants in Hong Kong , 1999 .
[44] P. Paatero. Least squares formulation of robust non-negative factor analysis , 1997 .
[45] P. Paatero,et al. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .
[46] G. Gordon,et al. Receptor models. , 1988, Environmental science & technology.
[47] N. Z. Heidam. Bootstrap estimates of factor model variability , 1987 .
[48] John D. Spengler,et al. A QUANTITATIVE ASSESSMENT OF SOURCE CONTRIBUTIONS TO INHALABLE PARTICULATE MATTER POLLUTION IN METROPOLITAN BOSTON , 1985 .
[49] H. J. Williamson,et al. Review of receptor model fundamentals , 1984 .
[50] Ronald C. Henry,et al. Multivariate analysis of particulate sulfate and other air quality variables by principal components—II. Salt Lake City, Utah and St. Louis, Missouri , 1982 .
[51] G. M. Hidy,et al. Multivariate analysis of particulate sulfate and other air quality variables by principal components-Part I: Annual data from Los Angeles and New York , 1979 .
[52] Irving H. Blifford,et al. A factor analysis model of large scale pollution , 1967 .