Development of land use regression models for particle composition in twenty study areas in Europe.

Hoogh K, de; M, Wang; M, Adam; C, Badaloni; R, Beelen; M, Birk; G, Cesaroni; M, Cirach; C, Declercq; A, Dėdelė; E, Dons; Nazelle A, de; M, Eeftens; K, Eriksen; C, Eriksson; P, Fischer; R, Gražulevičienė; A, Gryparis; B, Hoffmann; M, Jerrett; K, Katsouyanni; M, Iakovides; T, Lanki; S, Lindley; C, Madsen; A, Mölter; G, Mosler; G, Nádor; M, Nieuwenhuijsen; G, Pershagen; A, Peters; H, Phuleria; N, Probst-Hensch; O, Raaschou-Nielsen; U, Quass; A, Ranzi; E, Stephanou; D, Sugiri; P, Schwarze; MY, Tsai; T, Yli-Tuomi; MJ, Varró; D, Vienneau; G, Weinmayr; B, Brunekreef; G, Hoek

doi:10.1021/es400156t

Public

Development of land use regression models for particle composition in twenty study areas in Europe.

Published in Environmental science & technology • May 20, 2013

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Authors:

de Hoogh K

,

Wang M

,

Adam M

Abstract

Land Use Regression (LUR) models have been used to describe and model spatial variability of annual mean concentrations of traffic related pollutants such as nitrogen dioxide (NO2), nitrogen oxides (NOx) and particulate matter (PM). No models have yet been published of elemental composition. As part...

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