On the predictability of short-lived particulate matter around a cement plant in Kerman, Iran: machine learning analysis.

Borhani, F; Shafiepour Motlagh, M; Ehsani, A H; Rashidi, Y; Maddah, S; Mousavi, S M

Borhani, F; Shafiepour Motlagh, M; Ehsani, A H; Rashidi, Y; Maddah, S; Mousavi, S M.

Afiliación

Borhani F; School of Environment, College of Engineering, University of Tehran, Tehran, Iran.
Shafiepour Motlagh M; School of Environment, College of Engineering, University of Tehran, Tehran, Iran.
Ehsani AH; School of Environment, College of Engineering, University of Tehran, Tehran, Iran.
Rashidi Y; Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran.
Maddah S; School of Environment, College of Engineering, University of Tehran, Tehran, Iran.
Mousavi SM; Department of Environmental Planning and Design, Shahid Beheshti University, 1983969411 Tehran, Iran.

Int J Environ Sci Technol (Tehran) ; 20(2): 1513-1526, 2023.

Article en En | MEDLINE | ID: mdl-36405244

Palabras clave

Cement plant; Machine learning analysis; Particulate matter; SARIMA forecasting model; Short-lived climate pollutants

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Environ Sci Technol (Tehran) Año: 2023 Tipo del documento: Article País de afiliación: Irán

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