@article{c70db041650a40c7880300332c3da1ff,
title = "Development of Europe-Wide Models for Particle Elemental Composition Using Supervised Linear Regression and Random Forest",
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 ",
author = "Jie Chen and {de Hoogh}, Kees and John Gulliver and Barbara Hoffmann and Ole Hertel and Matthias Ketzel and Gudrun Weinmayr and Mariska Bauwelinck and {van Donkelaar}, Aaron and Hvidtfeldt, {Ulla A.} and Richard Atkinson and Janssen, {Nicole A. H.} and Martin, {Randall V.} and Evangelia Samoli and Andersen, {Zorana J.} and Oftedal, {Bente M.} and Massimo Stafoggia and Tom Bellander and Maciej Strak and Kathrin Wolf and Danielle Vienneau and Bert Brunekreef and Gerard Hoek",
note = "Publisher Copyright: {\textcopyright} 2020 American Chemical Society.",
year = "2020",
doi = "10.1021/acs.est.0c06595",
language = "English",
journal = "Environmental Science and Technology",
issn = "0013-936X",
publisher = "American Chemical Society",
number = "24",
}