Your browser doesn't support javascript.
loading
An Ensemble Learning Approach for Estimating High Spatiotemporal Resolution of Ground-Level Ozone in the Contiguous United States.
Requia, Weeberb J; Di, Qian; Silvern, Rachel; Kelly, James T; Koutrakis, Petros; Mickley, Loretta J; Sulprizio, Melissa P; Amini, Heresh; Shi, Liuhua; Schwartz, Joel.
Afiliación
  • Requia WJ; Department of Environmental Health, Harvard University, TH Chan School of Public Health, Boston, Massachusetts 02115, United States.
  • Di Q; School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal 72125590, Brazil.
  • Silvern R; Department of Environmental Health, Harvard University, TH Chan School of Public Health, Boston, Massachusetts 02115, United States.
  • Kelly JT; Research Center for Public Health, Tsinghua University, Beijing 100084, China.
  • Koutrakis P; Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, Massachusetts 02138, United States.
  • Mickley LJ; U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, Durham, North Carolina 27709, United States.
  • Sulprizio MP; Department of Environmental Health, Harvard University, TH Chan School of Public Health, Boston, Massachusetts 02115, United States.
  • Amini H; Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, Massachusetts 02138, United States.
  • Shi L; Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, Massachusetts 02138, United States.
  • Schwartz J; Department of Environmental Health, Harvard University, TH Chan School of Public Health, Boston, Massachusetts 02115, United States.
Environ Sci Technol ; 54(18): 11037-11047, 2020 09 15.
Article en En | MEDLINE | ID: mdl-32808786
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ozono / Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: Environ Sci Technol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ozono / Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: Environ Sci Technol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos