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

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

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Bibliographic Details
Published in:Environmental science & technology 2020-12, Vol.54 (24), p.15698-15709
Main Authors: Chen, Jie, de Hoogh, Kees, Gulliver, John, Hoffmann, Barbara, Hertel, Ole, Ketzel, Matthias, Weinmayr, Gudrun, Bauwelinck, Mariska, van Donkelaar, Aaron, Hvidtfeldt, Ulla A, Atkinson, Richard, Janssen, Nicole A. H, Martin, Randall V, Samoli, Evangelia, Andersen, Zorana J, Oftedal, Bente M, Stafoggia, Massimo, Bellander, Tom, Strak, Maciej, Wolf, Kathrin, Vienneau, Danielle, Brunekreef, Bert, Hoek, Gerard
Format: Article
Language:English
Subjects:
Air Pollutants - analysis
Air Pollution - analysis
Algorithms
Anthropogenic Impacts on the Atmosphere
Chemical composition
Chemical transport
Diameters
Environmental Monitoring
Epidemiology
Europe
Exposure
Forest management
Land use
Linear Models
Medicin och hälsovetenskap
Nickel
Particulate matter
Particulate Matter - analysis
Potassium
Regression analysis
Sulfur
Traffic models
Transportation models
Vanadium
Variability
Zinc - analysis
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Description
Summary: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
ISSN:0013-936X
1520-5851
1520-5851
DOI:10.1021/acs.est.0c06595