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Method for Fusing Observational Data and Chemical Transport Model Simulations To Estimate Spatiotemporally Resolved Ambient Air Pollution.
Friberg, Mariel D; Zhai, Xinxin; Holmes, Heather A; Chang, Howard H; Strickland, Matthew J; Sarnat, Stefanie Ebelt; Tolbert, Paige E; Russell, Armistead G; Mulholland, James A.
Afiliação
  • Friberg MD; School of Civil and Environmental Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.
  • Zhai X; School of Civil and Environmental Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.
  • Holmes HA; School of Civil and Environmental Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.
  • Chang HH; Rollins School of Public Health, Emory University , Atlanta, Georgia 30322, United States.
  • Strickland MJ; Rollins School of Public Health, Emory University , Atlanta, Georgia 30322, United States.
  • Sarnat SE; Rollins School of Public Health, Emory University , Atlanta, Georgia 30322, United States.
  • Tolbert PE; Rollins School of Public Health, Emory University , Atlanta, Georgia 30322, United States.
  • Russell AG; School of Civil and Environmental Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.
  • Mulholland JA; School of Civil and Environmental Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.
Environ Sci Technol ; 50(7): 3695-705, 2016 Apr 05.
Article em En | MEDLINE | ID: mdl-26923334
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Modelos Teóricos Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte Idioma: En Revista: Environ Sci Technol Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Modelos Teóricos Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte Idioma: En Revista: Environ Sci Technol Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos