Uncertainty quantification of PM<sub>2.5</sub> concentrations using a hybrid model based on characteristic decomposition and fuzzy granulation.

Zhang, Linyue; Wang, Jianzhou; Li, Zhiwu; Zeng, Bo; Huang, Xiaojia

Uncertainty quantification of PM_2.5 concentrations using a hybrid model based on characteristic decomposition and fuzzy granulation.

Zhang, Linyue; Wang, Jianzhou; Li, Zhiwu; Zeng, Bo; Huang, Xiaojia.

Afiliação

Zhang L; School of Statistics, Dongbei University of Finance and Economics, No. 217, Jianshan Road, Shahekou District, Dalian, Liaoning Province, 116025, China. Electronic address: zlyzzz25@163.com.
Wang J; School of Statistics, Dongbei University of Finance and Economics, No. 217, Jianshan Road, Shahekou District, Dalian, Liaoning Province, 116025, China. Electronic address: jianzhouwdufe@163.com.
Li Z; Institute of Systems Engineering, Macau University of Science and Technology, Taipa Street, Macao. Electronic address: zwli@must.edu.mo.
Zeng B; Chongqing Technology and Business University, Chongqing, China. Electronic address: bozeng@ctbu.edu.cn.
Huang X; School of Information Science& Engineering, Lanzhou University, Lanzhou, China. Electronic address: huangxiaojia@lzu.edu.cn.

J Environ Manage ; 324: 116282, 2022 Dec 15.

Article em En | MEDLINE | ID: mdl-36191506

Assuntos

Poluentes Atmosféricos; Poluição do Ar; Humanos; Incerteza; Monitoramento Ambiental/métodos; Poluição do Ar/análise; Poluentes Atmosféricos/análise; Material Particulado/análise

Palavras-chave

Characteristic decomposition; Fuzzy information granulation; PM(2.5) concentrations; Uncertainty quantification

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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