A data-augmentation approach to deriving long-term surface SO<sub>2</sub> across Northern China: Implications for interpretable machine learning.

Zhang, Shifu; Mi, Tan; Wu, Qinhuizi; Luo, Yuzhou; Grieneisen, Michael L; Shi, Guangming; Yang, Fumo; Zhan, Yu

A data-augmentation approach to deriving long-term surface SO₂ across Northern China: Implications for interpretable machine learning.

Zhang, Shifu; Mi, Tan; Wu, Qinhuizi; Luo, Yuzhou; Grieneisen, Michael L; Shi, Guangming; Yang, Fumo; Zhan, Yu.

Afiliação

Zhang S; Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China.
Mi T; Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China.
Wu Q; Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China.
Luo Y; Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, United States.
Grieneisen ML; Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, United States.
Shi G; Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China; National Engineering Research Center for Flue Gas Desulfurization, Chengdu, Sichuan 610065, China.
Yang F; Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China; National Engineering Research Center for Flue Gas Desulfurization, Chengdu, Sichuan 610065, China.
Zhan Y; Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China; National Engineering Research Center for Flue Gas Desulfurization, Chengdu, Sichuan 610065, China. Electronic address: yzhan@scu.edu.cn.

Sci Total Environ ; 827: 154278, 2022 Jun 25.

Article em En | MEDLINE | ID: mdl-35248628

Assuntos

Poluentes Atmosféricos; Poluição do Ar; Poluentes Atmosféricos/análise; Poluição do Ar/análise; China; Monitoramento Ambiental/métodos; Humanos; Aprendizado de Máquina; Material Particulado/análise; Estudos Retrospectivos

Palavras-chave

Back-extrapolation; Data augmentation; Imbalanced data; Machine learning; Northern China; SO(2) pollution

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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