Seasonal trend and source identification of polycyclic aromatic hydrocarbons associated with fine particulate matters (PM<sub>2.5</sub>) in Isfahan City, Iran, using diagnostic ratio and PMF model.

Soleimani, Mohsen; Ebrahimi, Zohreh; Mirghaffari, Nourollah; Moradi, Hossein; Amini, Nasibeh; Poulsen, Kristoffer Gulmark; Christensen, Jan H

Seasonal trend and source identification of polycyclic aromatic hydrocarbons associated with fine particulate matters (PM_2.5) in Isfahan City, Iran, using diagnostic ratio and PMF model.

Soleimani, Mohsen; Ebrahimi, Zohreh; Mirghaffari, Nourollah; Moradi, Hossein; Amini, Nasibeh; Poulsen, Kristoffer Gulmark; Christensen, Jan H.

Afiliação

Soleimani M; Department of Natural Resources, Isfahan University of Technology, 84156-83111, Isfahan, Iran. m.soleimani@iut.ac.ir.
Ebrahimi Z; Department of Natural Resources, Isfahan University of Technology, 84156-83111, Isfahan, Iran.
Mirghaffari N; Department of Natural Resources, Isfahan University of Technology, 84156-83111, Isfahan, Iran.
Moradi H; Department of Natural Resources, Isfahan University of Technology, 84156-83111, Isfahan, Iran.
Amini N; Department of Natural Resources, Isfahan University of Technology, 84156-83111, Isfahan, Iran.
Poulsen KG; Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark.
Christensen JH; Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark.

Environ Sci Pollut Res Int ; 29(18): 26449-26464, 2022 Apr.

Article em En | MEDLINE | ID: mdl-34854007

Assuntos

Poluentes Atmosféricos; Hidrocarbonetos Policíclicos Aromáticos; Poluentes Atmosféricos/análise; China; Monitoramento Ambiental/métodos; Irã (Geográfico); Gás Natural; Material Particulado/análise; Hidrocarbonetos Policíclicos Aromáticos/análise; Medição de Risco; Estações do Ano

Palavras-chave

Air pollution; Metropolitan area; Organic pollutants; Positive matrix factorization model

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hidrocarbonetos Policíclicos Aromáticos / Poluentes Atmosféricos Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies País como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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