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Estimating the daily average concentration variations of PCDD/Fs in Taiwan using a novel Geo-AI based ensemble mixed spatial model.
Hsu, Chin-Yu; Lin, Tien-Wei; Babaan, Jennieveive B; Asri, Aji Kusumaning; Wong, Pei-Yi; Chi, Kai-Hsien; Ngo, Tuan Hung; Yang, Yu-Hsuan; Pan, Wen-Chi; Wu, Chih-Da.
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  • Hsu CY; Department of Safety, Health and Environmental Engineering, Ming Chi University of Technology, New Taipei City, Taiwan; Center for Environmental Sustainability and Human Health, Ming Chi University of Technology, New Taipei City, Taiwan.
  • Lin TW; Department of Geomatics, National Cheng Kung University, Tainan City, Taiwan.
  • Babaan JB; Department of Geodetic Engineering, University of the Philippines Diliman, Quezon City, Philippines.
  • Asri AK; Department of Geomatics, National Cheng Kung University, Tainan City, Taiwan.
  • Wong PY; Department of Environmental and Occupational Health, National Cheng Kung University, Tainan City, Taiwan.
  • Chi KH; Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei City, Taiwan.
  • Ngo TH; Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei City, Taiwan; International Health Program, National Yang Ming Chiao Tung University, Taipei City, Taiwan.
  • Yang YH; Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei City, Taiwan.
  • Pan WC; Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei City, Taiwan.
  • Wu CD; Department of Geomatics, National Cheng Kung University, Tainan City, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan; Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung City
J Hazard Mater ; 458: 131859, 2023 09 15.
Article en En | MEDLINE | ID: mdl-37331063
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Benzofuranos / Contaminantes Atmosféricos / Dibenzodioxinas Policloradas Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: J Hazard Mater Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: Taiwán
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Benzofuranos / Contaminantes Atmosféricos / Dibenzodioxinas Policloradas Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: J Hazard Mater Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: Taiwán