Hinweise zu Qualitätskriterien von Zeitschriften
Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016
CC Licencences
Metriken für Publikationen
Startseite
Login
English
Neuer EVA Antrag
Erweiterte Suche
Durchblättern nach ...
Publikationen im Überblick
HGF Fortschrittsbericht
OA Publikationen
Neue Publikation eintragen
Neue Publikation holen aus...
Fehlende Publikation melden
Ansprechpartner
Hilfe
Bibliometrische Indikatoren
Text
Endnote (RIS)
BibTeX
Postprint
DOI
PMC
 |
Open Access Green |
möglich sobald bei der ZB eingereicht worden ist.
Development of land use regression models for elemental, organic carbon, PAH and hopanes/steranes in 10 ESCAPE/TRANSPHORM European study areas.
Environ. Sci. Technol. 48, 14435-14444 (2014)
Land use regression (LUR) models have been used to model concentrations of mainly traffic related air pollutants (nitrogen oxides (NOx), particulate matter (PM) mass or absorbance). Few LUR models are published of PM composition, whereas the interest in health effects related to particle composition is increasing. The aim of our study was to evaluate LUR models of polycyclic aromatic hydrocarbons (PAH), hopanes/steranes and elemental and organic carbon (EC/OC) content of PM2.5. In 10 European study areas PAH, hopanes/steranes and EC/OC concentrations were measured at 16-40 sites per study area. LUR models for each study area were developed based on annual average concentrations and predictor variables including traffic, population, industry, natural land obtained from geographic information systems. The highest median model explained variance (R2) was found for EC - 84%. The median R2 was 51% for OC, 67% for benzo[a]pyrene and 38% for sum of hopanes/steranes, with large variability between study areas. Traffic predictors were included in most models. Population and natural land were included frequently as additional predictors. The moderate to high explained variance of LUR models and the overall moderate correlation with PM2.5 model predictions support the application of especially the OC and PAH models in epidemiological studies.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
5.481
2.110
21
25
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Sprache
englisch
Veröffentlichungsjahr
2014
HGF-Berichtsjahr
2014
ISSN (print) / ISBN
0013-936X
e-ISSN
1520-5851
Zeitschrift
Environmental Science & Technology
Quellenangaben
Band: 48,
Heft: 24,
Seiten: 14435-14444
Verlag
ACS
Verlagsort
Washington, DC
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
POF Topic(s)
30202 - Environmental Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-004
PubMed ID
25317817
WOS ID
WOS:000346686100046
Scopus ID
84918591214
Erfassungsdatum
2014-10-20