Your browser doesn't support javascript.
loading
Land use regression models for crustal and traffic-related PM2.5 constituents in four areas of the SAPALDIA study.
Aguilera, Inmaculada; Eeftens, Marloes; Meier, Reto; Ducret-Stich, Regina E; Schindler, Christian; Ineichen, Alex; Phuleria, Harish C; Probst-Hensch, Nicole; Tsai, Ming-Yi; Künzli, Nino.
Afiliação
  • Aguilera I; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland. Electronic address: inmaculada.aguilera@unibas.ch.
  • Eeftens M; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
  • Meier R; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
  • Ducret-Stich RE; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
  • Schindler C; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
  • Ineichen A; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
  • Phuleria HC; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Centre for Environmental Science and Engineering, Indian Institute of Technology Bombay, Mumbai, India.
  • Probst-Hensch N; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
  • Tsai MY; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, USA.
  • Künzli N; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
Environ Res ; 140: 377-84, 2015 Jul.
Article em En | MEDLINE | ID: mdl-25935318
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Emissões de Veículos / Análise de Regressão / Material Particulado Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Environ Res Ano de publicação: 2015 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Emissões de Veículos / Análise de Regressão / Material Particulado Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Environ Res Ano de publicação: 2015 Tipo de documento: Article