Predicting intraurban PM<sub>2.5</sub> concentrations using enhanced machine learning approaches and incorporating human activity patterns.

Ashayeri, Mehdi; Abbasabadi, Narjes; Heidarinejad, Mohammad; Stephens, Brent

Predicting intraurban PM_2.5 concentrations using enhanced machine learning approaches and incorporating human activity patterns.

Ashayeri, Mehdi; Abbasabadi, Narjes; Heidarinejad, Mohammad; Stephens, Brent.

Afiliação

Ashayeri M; College of Architecture, Illinois Institute of Technology, Chicago, IL, USA.
Abbasabadi N; College of Architecture, Illinois Institute of Technology, Chicago, IL, USA.
Heidarinejad M; Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL, USA.
Stephens B; Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL, USA. Electronic address: brent@iit.edu.

Environ Res ; 196: 110423, 2021 05.

Article em En | MEDLINE | ID: mdl-33157105

Assuntos

Poluentes Atmosféricos; Poluição do Ar; Poluentes Atmosféricos/análise; Poluição do Ar/análise; Monitoramento Ambiental; Atividades Humanas; Humanos; Aprendizado de Máquina; Material Particulado/análise

Palavras-chave

Air pollution modeling; Artificial intelligence; Human activity; Outdoor air quality; Statistical prediction model

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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