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Integrating random forests and propagation models for high-resolution noise mapping.
Liu, Ying; Oiamo, Tor; Rainham, Daniel; Chen, Hong; Hatzopoulou, Marianne; Brook, Jeffrey R; Davies, Hugh; Goudreau, Sophie; Smargiassi, Audrey.
Afiliación
  • Liu Y; Canadian Urban Environmental Health Research Consortium, Canada; Department of Environmental and Occupational Health, School of Public Health, University of Montreal, Montreal, QC H3C 3J7, Canada.
  • Oiamo T; Canadian Urban Environmental Health Research Consortium, Canada; Department of Geography and Environmental Studies, Ryerson University, Toronto, ON M5B 2K3, Canada.
  • Rainham D; Canadian Urban Environmental Health Research Consortium, Canada; School of Health and Human Performance, Dalhousie University, Halifax, NS B3H 4R2, Canada.
  • Chen H; Canadian Urban Environmental Health Research Consortium, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada.
  • Hatzopoulou M; Canadian Urban Environmental Health Research Consortium, Canada; Department of Civil Engineering, University of Toronto, Toronto, ON M5S 1A4, Canada.
  • Brook JR; Canadian Urban Environmental Health Research Consortium, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada.
  • Davies H; Canadian Urban Environmental Health Research Consortium, Canada; School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
  • Goudreau S; Canadian Urban Environmental Health Research Consortium, Canada; Montreal Department of Public Health, Montreal, QC H2L 1M3, Canada.
  • Smargiassi A; Canadian Urban Environmental Health Research Consortium, Canada; Department of Environmental and Occupational Health, School of Public Health, University of Montreal, Montreal, QC H3C 3J7, Canada; Institut National de Santé Publique du Québec (INSPQ), Montréal, QC, Canada; Centre de Recherche en San
Environ Res ; 195: 110905, 2021 04.
Article en En | MEDLINE | ID: mdl-33631139
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Ruido Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Environ Res Año: 2021 Tipo del documento: Article País de afiliación: Canadá
Texto completo
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XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Ruido Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Environ Res Año: 2021 Tipo del documento: Article País de afiliación: Canadá