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Using a land use regression model with machine learning to estimate ground level PM2.5.
Wong, Pei-Yi; Lee, Hsiao-Yun; Chen, Yu-Cheng; Zeng, Yu-Ting; Chern, Yinq-Rong; Chen, Nai-Tzu; Candice Lung, Shih-Chun; Su, Huey-Jen; Wu, Chih-Da.
Afiliação
  • Wong PY; Department of Environmental and Occupational Health, National Cheng Kung University, Tainan, Taiwan.
  • Lee HY; Department of Leisure Industry and Health Promotion, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.
  • Chen YC; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan.
  • Zeng YT; Department of Geomatics, National Cheng Kung University, Tainan, Taiwan.
  • Chern YR; Department of Geomatics, National Cheng Kung University, Tainan, Taiwan.
  • Chen NT; Research Center of Environmental Trace Toxic Substances, National Cheng Kung University, Tainan, Taiwan.
  • Candice Lung SC; Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan; Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan; Institute of Environmental Health, National Taiwan University, Taipei, Taiwan.
  • Su HJ; Department of Environmental and Occupational Health, National Cheng Kung University, Tainan, Taiwan.
  • Wu CD; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan; Department of Geomatics, National Cheng Kung University, Tainan, Taiwan. Electronic address: chidawu@mail.ncku.edu.tw.
Environ Pollut ; 277: 116846, 2021 May 15.
Article em En | MEDLINE | ID: mdl-33735646

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Environ Pollut Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Taiwan País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Environ Pollut Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Taiwan País de publicação: Reino Unido