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Satellite-Based NO2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression.
Young, Michael T; Bechle, Matthew J; Sampson, Paul D; Szpiro, Adam A; Marshall, Julian D; Sheppard, Lianne; Kaufman, Joel D.
Afiliação
  • Young MT; Department of Epidemiology, University of Washington 4225 Roosevelt Way NE, Seattle, Washington 98105, United States.
  • Bechle MJ; Civil & Environmental Engineering, University of Washington , Wilcox 268, Seattle, Washington 98195, United States.
  • Sampson PD; Department of Statistics, University of Washington B313 Padelford Hall, Northeast Stevens Way, Seattle, Washington 98195, United States.
  • Szpiro AA; Department of Biostatistics, University of Washington 1705 NE Pacific Street, Seattle, Washington 98195, United States.
  • Marshall JD; Civil & Environmental Engineering, University of Washington , Wilcox 268, Seattle, Washington 98195, United States.
  • Sheppard L; Department of Biostatistics, University of Washington 1705 NE Pacific Street, Seattle, Washington 98195, United States.
  • Kaufman JD; Department of Environmental and Occupational Health Sciences, University of Washington 1959 Pacific Street, Seattle, Washington 98195, United States.
Environ Sci Technol ; 50(7): 3686-94, 2016 Apr 05.
Article em En | MEDLINE | ID: mdl-26927327
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Dióxido de Nitrogênio Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies País como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Dióxido de Nitrogênio Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies País como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article