Hybrid land use regression modeling for estimating spatio-temporal exposures to PM2.5, BC, and metal components across a metropolitan area of complex terrain and industrial sources

Title
Hybrid land use regression modeling for estimating spatio-temporal exposures to PM2.5, BC, and metal components across a metropolitan area of complex terrain and industrial sources
Authors
Keywords
Air pollution, Fine particulate matter (PM, 2.5, ), Metal constituents, Land use regression (LUR), AERMOD, Exposure assessment
Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 673, Issue -, Pages 54-63
Publisher
Elsevier BV
Online
2019-03-30
DOI
10.1016/j.scitotenv.2019.03.453

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