Source apportionment of particulate matter and selected volatile organic compounds with multiple time resolution data

Fine particulate matter (PM2.5) and volatile organic compounds (VOCs) co-exist in ambient air and contribute to adverse health effects in human populations. This study was conducted to demonstrate the feasibility of utilizing a composite data set which included PM2.5 and VOC data with multiple time...

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Veröffentlicht in:	The Science of the total environment 2014-02, Vol.472, p.880-887
Hauptverfasser:	Kuo, Cheng-Pin, Liao, Ho-Tang, Chou, Charles C.-K., Wu, Chang-Fu
Format:	Artikel
Sprache:	eng
Schlagworte:	Air Pollutants - analysis Air Pollution - statistics & numerical data Applied sciences Atmospheric pollution Dispersed sources and other Environmental Monitoring Exact sciences and technology Fine particulate matter (PM2.5) Multilinear Engine (ME-2) Particulate Matter - analysis Pollution Pollution sources. Measurement results Positive Matrix Factorization (PMF) Receptor model Source apportionment Vehicle Emissions - analysis Volatile organic compounds (VOCs) Volatile Organic Compounds - analysis
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