Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/50430
Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Ekologija ir aplinkotyra / Ecology and environmental sciences (N012)
Author(s): Hoogh, Kees de;Wang, Meng;Adam, Martin;Badaloni, Chiara;Beelen, Rob;Birk, Matthias;Cesaroni, Giulia;Cirach, Marta;Declercq, Christophe;Dėdelė, Audrius;Dons, Evi;Nazelle, Audrey de;Eeftens, Marloes;Eriksen, Kirsten;Eriksson, Charlotta;Fischer, Paul;Gražulevičienė, Regina
Title: Development of land use regression models for particle composition in twenty study areas in Europe
Is part of: Environmental science and technology. Washington, USA : American Chemical Society, 2013, vol. 47, no. 11
Extent: p. 5778-5786
Date: 2013
Keywords: Air pollution;NO2;NOx;ESCAPE project
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 of the ESCAPE project, we measured the elemental composition in both the PM10 and PM2.5 fraction sizes at 20 sites in each of 20 study areas across Europe. LUR models for eight a priori selected elements (copper (Cu), iron (Fe), potassium (K), nickel (Ni), sulfur (S), silicon (Si), vanadium (V), and zinc (Zn)) were developed. Good models were developed for Cu, Fe, and Zn in both fractions (PM10 and PM2.5) explaining on average between 67 and 79% of the concentration variance (R2) with a large variability between areas. Traffic variables were the dominant predictors, reflecting nontailpipe emissions. Models for V and S in the PM10 and PM2.5 fractions and Si, Ni, and K in the PM10 fraction performed moderately with R2 ranging from 50 to 61%. Si, NI, and K models for PM2.5 performed poorest with R2 under 50%. The LUR models are used to estimate exposures to elemental composition in the health studies involved in ESCAPE
Internet: http://pubs.acs.org/doi/full/10.1021/es400156t
Affiliation(s): Aplinkotyros katedra
Gamtos mokslų fakultetas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml14.38 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats


CORE Recommender

WEB OF SCIENCETM
Citations 1

101
checked on Sep 12, 2020

Page view(s)

132
checked on Dec 9, 2019

Download(s)

10
checked on Dec 9, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.