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Non-linear models for black carbon exposure modelling using air pollution datasets.
Rovira, J; Paredes-Ahumada, J A; Barceló-Ordinas, J M; García-Vidal, J; Reche, C; Sola, Y; Fung, P L; Petäjä, T; Hussein, T; Viana, M.
Afiliação
  • Rovira J; Barcelona University, Barcelona, Spain.
  • Paredes-Ahumada JA; Department of Computer Architecture, Universitat Politècnica de Catalunya, UPC, Barcelona, Spain.
  • Barceló-Ordinas JM; Department of Computer Architecture, Universitat Politècnica de Catalunya, UPC, Barcelona, Spain.
  • García-Vidal J; Department of Computer Architecture, Universitat Politècnica de Catalunya, UPC, Barcelona, Spain.
  • Reche C; Institute of Environmental Assessment and Water Research, Spanish Research Council, IDAEA-CSIC, Barcelona, Spain.
  • Sola Y; Barcelona University, Barcelona, Spain.
  • Fung PL; University of Helsinki, Institute for Atmospheric and Earth System Research (INAR/Physics), UHEL, Helsinki, Finland.
  • Petäjä T; University of Helsinki, Institute for Atmospheric and Earth System Research (INAR/Physics), UHEL, Helsinki, Finland.
  • Hussein T; University of Helsinki, Institute for Atmospheric and Earth System Research (INAR/Physics), UHEL, Helsinki, Finland; The University of Jordan, School of Science, Department of Physics, Amman, Jordan.
  • Viana M; Institute of Environmental Assessment and Water Research, Spanish Research Council, IDAEA-CSIC, Barcelona, Spain. Electronic address: mar.viana@idaea.csic.es.
Environ Res ; 212(Pt B): 113269, 2022 09.
Article em En | MEDLINE | ID: mdl-35427594
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Article