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Assessing source characteristics of PM2.5 in the eastern United States using positive matrix factorization.

作者信息

Lapina Kateryna, Paterson Kurtis G

机构信息

Department of Civil and Environmental Engineering, Michigan Technological University, Houghton, Michigan 49931, USA.

出版信息

J Air Waste Manag Assoc. 2004 Sep;54(9):1170-4. doi: 10.1080/10473289.2004.10470981.

DOI:10.1080/10473289.2004.10470981
PMID:15468669
Abstract

Fine aerosol (PM2.5) measurements obtained from the first year of operation of the nationwide network of PM2.5 monitors were studied with the factor analysis technique of positive matrix factorization (PMF). PM2.5 mass concentration data were extracted from the Atmospheric Information Retrieval System (AIRS) database of the U.S. Environmental Protection Agency (EPA). PMF was applied to measurements at more than 350 monitoring locations in the eastern half of the United States. Data consisted of PM2.5 24-hr averaged concentrations measured every third day from April through December 1999. The PMF model suggested six factors representing source influences to the PM2.5 mass concentrations at measurement sites. Factor 5, covering much of the Appalachian states, exhibited significant seasonal behavior.

摘要

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