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Air pollution modelling in the Ruhr Area: Land-Use Regression vs. Dispersion Chemistry Transport

Hennig, F.; Sugiri, D.; Tzivian, L.; Fuks, K.; Moebus, S.; Jöckel, K.; Vienneau, D.; Kuhlbusch, T.; de Hoogh, K.; Memmesheimer, M.; Jakobs, H.; Quass, U.; Hoffmann, B. · Das Gesundheitswesen · 2016 · Heft 8/09 · S. 1 bis 1

Dokument
333808
CareLit-ID
Jahr
2016
Publikation
PDF
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Metadaten
DOI
ja
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Bibliografische Angaben

Zeitschrift
Das Gesundheitswesen
Autor:innen
Hennig, F.; Sugiri, D.; Tzivian, L.; Fuks, K.; Moebus, S.; Jöckel, K.; Vienneau, D.; Kuhlbusch, T.; de Hoogh, K.; Memmesheimer, M.; Jakobs, H.; Quass, U.; Hoffmann, B.
Ausgabe
Heft 8/09 / 2016
Jahrgang 78
Seiten
1 bis 1
Erschienen: 2016-09-15 13:00:00
ISSN
0941-3790

Zusammenfassung

Background: Two commonly used modelling approaches to assess air pollution (AP) concentration for investigating health effects in epidemiological studies are land use regression (LUR) and dispersion chemistry transport models (DCTM). Choice of model can influence the exposure estimation and consequently the health effect estimation as well. In the Ruhr Area in Germany, the location of multiple epidemiological studies, residential AP concentrations have been modelled with a LUR model as part of the European Study of Cohorts for Air Pollution Effects (ESCAPE-LUR), and with an European Air Quality, Dispersion and C…

Schlagworte

Gesundheit Pflege Chemistry Germany Das Gesundheitswesen