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An explainable integrated optimization methodology for source apportionment of ambient particulate matter components.
Shen, Juanyong; Zhao, Qianbiao; Ying, Qi; Cheng, Zhen; Xu, Junzhe; Zhang, Hairui; Fu, Qingyan.
Afiliação
  • Shen J; Shanghai Environmental Protection Key Lab of Environmental Big Data and Intelligent Decision-making, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Zhao Q; Shanghai Environmental Monitoring Center, Shanghai, 200030, China; Academy of Environmental Planning & Design, Co., Ltd., Nanjing University, Nanjing, 210093, China.
  • Ying Q; Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, 77843, USA.
  • Cheng Z; Shanghai Environmental Protection Key Lab of Environmental Big Data and Intelligent Decision-making, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. Electronic address: chengz88@sjtu.edu.cn.
  • Xu J; Shanghai Environmental Protection Key Lab of Environmental Big Data and Intelligent Decision-making, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Zhang H; Shanghai Environmental Protection Key Lab of Environmental Big Data and Intelligent Decision-making, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Fu Q; Shanghai Environmental Monitoring Center, Shanghai, 200030, China.
J Environ Manage ; 310: 114789, 2022 May 15.
Article em En | MEDLINE | ID: mdl-35220094
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies País como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

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