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)...

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Bibliographic Details
Main Authors: Azimeh Maghzi Najafabadi, Behzad Mahaki, Yaghoub Hajizadeh
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
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