Development of Europe-Wide Models for Particle Elemental Composition Using Supervised Linear Regression and Random Forest
Publication date
2020-12-15
Authors
Chen, Jie
de Hoogh, Kees
Gulliver, John
Hoffmann, Barbara
Hertel, Ole
Ketzel, Matthias
Weinmayr, Gudrun
Bauwelinck, Mariska
van Donkelaar, Aaron
Hvidtfeldt, Ulla A.
Editors
Advisors
Supervisors
Document Type
Article
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cc_by_nc_nd
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
Keywords
General Chemistry, Environmental Chemistry
Citation
Chen, J, de Hoogh, K, Gulliver, J, Hoffmann, B, Hertel, O, Ketzel, M, Weinmayr, G, Bauwelinck, M, van Donkelaar, A, Hvidtfeldt, U A, Atkinson, R, Janssen, N A H, Martin, R V, Samoli, E, Andersen, Z J, Oftedal, B M, Stafoggia, M, Bellander, T, Strak, M, Wolf, K, Vienneau, D, Brunekreef, B & Hoek, G 2020, 'Development of Europe-Wide Models for Particle Elemental Composition Using Supervised Linear Regression and Random Forest', Environmental Science and Technology, vol. 54, no. 24, pp. 15698-15709. https://doi.org/10.1021/acs.est.0c06595