Hybrid land use regression modeling for estimating spatio-temporal exposures to PM<sub>2.5</sub>, BC, and metal components across a metropolitan area of complex terrain and industrial sources.

Tripathy, Sheila; Tunno, Brett J; Michanowicz, Drew R; Kinnee, Ellen; Shmool, Jessie L C; Gillooly, Sara; Clougherty, Jane E

Hybrid land use regression modeling for estimating spatio-temporal exposures to PM_2.5, BC, and metal components across a metropolitan area of complex terrain and industrial sources.

Tripathy, Sheila; Tunno, Brett J; Michanowicz, Drew R; Kinnee, Ellen; Shmool, Jessie L C; Gillooly, Sara; Clougherty, Jane E.

Afiliação

Tripathy S; University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, Pittsburgh, PA, United States; Drexel University Dornsife School of Public Health, Department of Environmental and Occupational Health, Philadelphia, PA, United States. Electronic address:
Tunno BJ; University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, Pittsburgh, PA, United States.
Michanowicz DR; University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, Pittsburgh, PA, United States; Harvard T.H. Chan School of Public Health, Department of Environmental Health, Boston, MA, United States.
Kinnee E; University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, Pittsburgh, PA, United States.
Shmool JLC; University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, Pittsburgh, PA, United States.
Gillooly S; University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, Pittsburgh, PA, United States; Harvard T.H. Chan School of Public Health, Department of Environmental Health, Boston, MA, United States.
Clougherty JE; University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, Pittsburgh, PA, United States; Drexel University Dornsife School of Public Health, Department of Environmental and Occupational Health, Philadelphia, PA, United States.

Sci Total Environ ; 673: 54-63, 2019 Jul 10.

Article em En | MEDLINE | ID: mdl-30986682

Palavras-chave

AERMOD; Air pollution; Exposure assessment; Fine particulate matter (PM(2.5)); Land use regression (LUR); Metal constituents

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2019 Tipo de documento: Article

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