Spatiotemporal modeling of airborne fine particulate matter distribution in Isfahan
Aims: Urban expansion has caused lots of problems such as air pollution, which endanger the health of residents. In this research, the spatiotemporal trend of atmospheric fine particulate matter (PM2.5) of Isfahan was studied and modeled using distributed space–time expectation–maximization (D-STEM)...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2020-01-01
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Series: | International Journal of Environmental Health Engineering |
Subjects: | |
Online Access: | http://www.ijehe.org/article.asp?issn=2277-9183;year=2020;volume=9;issue=1;spage=9;epage=9;aulast=Najafabadi |