2011
DOI: 10.1016/j.atmosres.2011.07.003
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Chemical characterisation and source apportionment of PM2.5 and PM10 at rural, urban and traffic sites in Navarra (North of Spain)

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Cited by 197 publications
(108 citation statements)
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“…The goal of PMF is to minimise this function. PM data from the different sizes (PM 2.5 and PM 10 ) were combined and inputted into PMF, as has been done in related works (Amato et al, 2009;Aldabe et al, 2011). The combined data showed satisfactory results, and further analysis demonstrated that the profiles of PM 2.5 and PM 10 were similar in this work.…”
Section: Receptor Modelsmentioning
confidence: 85%
“…The goal of PMF is to minimise this function. PM data from the different sizes (PM 2.5 and PM 10 ) were combined and inputted into PMF, as has been done in related works (Amato et al, 2009;Aldabe et al, 2011). The combined data showed satisfactory results, and further analysis demonstrated that the profiles of PM 2.5 and PM 10 were similar in this work.…”
Section: Receptor Modelsmentioning
confidence: 85%
“…Adverse health and the environmental and climate effects of aerosol particles are derived from the chemical components and properties of those particles (Hueglin et al, 2005;Aldabe et al, 2011). Water-soluble ions are major components of atmospheric aerosols and can comprise up to 60-70% of particulate mass.…”
Section: Introductionmentioning
confidence: 99%
“…3 Therefore, to protect both human health and the environment, it is important to control the emissions at the source and implement effective reduction measurements on local, regional and global scales. 4,5 Comprehensive investigations are required to evaluate which sources contribute to the total mass of organic aerosols. 6,7 Source apportionment techniques, such as chemical mass balance (CMB) and positive matrix factorization (PMF) receptor models, have been developed and used successfully for quantitative identification of sources for organic pollutants in aerosols.…”
Section: Introductionmentioning
confidence: 99%