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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License

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