Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Assessing Source Characteristics of PM2.5 in the Eastern United States Using Positive Matrix Factorization
Fine aerosol (PM2.5) measurements obtained from the first year of operation of the nationwide network of PM25 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.
Assessing Source Characteristics of PM2.5 in the Eastern United States Using Positive Matrix Factorization
Fine aerosol (PM2.5) measurements obtained from the first year of operation of the nationwide network of PM25 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.
Assessing Source Characteristics of PM2.5 in the Eastern United States Using Positive Matrix Factorization
Lapina, Kateryna (Autor:in) / Paterson, Kurtis G. (Autor:in)
Journal of the Air & Waste Management Association ; 54 ; 1170-1174
01.09.2004
5 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
| British Library Conference Proceedings | 2004
| Taylor & Francis Verlag | 2010
Apportioning Visibility Degradation to Sources of PM2.5 Using Positive Matrix Factorization
| Taylor & Francis Verlag | 2009
| Taylor & Francis Verlag | 2004
Evaluation of PM2.5 Sources in Skopje Urban Area Using Positive Matrix Factorization
| Springer Verlag | 2024