Your browser doesn't support javascript.
loading
Spatiotemporal prediction of fine particulate matter during the 2008 northern California wildfires using machine learning.
Reid, Colleen E; Jerrett, Michael; Petersen, Maya L; Pfister, Gabriele G; Morefield, Philip E; Tager, Ira B; Raffuse, Sean M; Balmes, John R.
Afiliação
  • Reid CE; †Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, California 94720, United States.
  • Jerrett M; †Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, California 94720, United States.
  • Petersen ML; ¶Environmental Health Sciences Department, Fielding School of Public Health, University of California, Los Angeles, California 90095, United States.
  • Pfister GG; ‡Epidemiology Division, School of Public Health, University of California, Berkeley, California 94720, United States.
  • Morefield PE; §Biostatistics Division, School of Public Health, University of California, Berkeley, California 94720, United States.
  • Tager IB; ∥Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, Colorado 80301, United States.
  • Raffuse SM; ⊥National Center for Environmental Assessment, U.S. Environmental Protection Agency, Washington, D.C. 20460, United States.
  • Balmes JR; ‡Epidemiology Division, School of Public Health, University of California, Berkeley, California 94720, United States.
Environ Sci Technol ; 49(6): 3887-96, 2015 Mar 17.
Article em En | MEDLINE | ID: mdl-25648639

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Material Particulado / Incêndios / Modelos Teóricos País/Região como assunto: America do norte Idioma: En Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Material Particulado / Incêndios / Modelos Teóricos País/Região como assunto: America do norte Idioma: En Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos