Development of Europe-Wide Models for Particle Elemental Composition Using Supervised Linear Regression and Random Forest

  • Jie Chen
  • , Kees de Hoogh
  • , John Gulliver
  • , Barbara Hoffmann
  • , Ole Hertel
  • , Matthias Ketzel
  • , Gudrun Weinmayr
  • , Mariska Bauwelinck
  • , Aaron van Donkelaar
  • , Ulla A. Hvidtfeldt
  • , Richard Atkinson
  • , Nicole A. H. Janssen
  • , Randall V. Martin
  • , Evangelia Samoli
  • , Zorana J. Andersen
  • , Bente M. Oftedal
  • , Massimo Stafoggia
  • , Tom Bellander
  • , Maciej Strak
  • , Kathrin Wolf
  • Danielle Vienneau, Bert Brunekreef, Gerard Hoek

    Research output: Contribution to journalArticleAcademicpeer-review

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    Abstract

    We developed Europe-wide models of long-term exposure to eight elements (copper, iron, potassium, nickel, sulfur, silicon, vanadium, and zinc) in particulate matter with diameter
    Original languageEnglish
    Pages (from-to)15698-15709
    Number of pages12
    JournalEnvironmental Science and Technology
    Volume54
    Issue number24
    DOIs
    Publication statusPublished - 15 Dec 2020

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