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Atmosphere 2016, 7(3), 48; doi:10.3390/atmos7030048

Comparison of Land-Use Regression Modeling with Dispersion and Chemistry Transport Modeling to Assign Air Pollution Concentrations within the Ruhr Area

1
Working group of Environmental Epidemiology of Cardiovascular Aging and Allergies, IUF-Leibniz Research Institute for Environmental Medicine, Auf’m Hennekamp 50, Düsseldorf 40225, Germany
2
Institute for Medical Informatics, Biometry and Epidemiology, University Hospital, University Duisburg-Essen, Essen 45141, Germany
3
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstr. 57, Basel 4051, Switzerland
4
University of Basel, Basel 4003, Switzerland
5
IUTA e.V., Air Quality & Sustainable Nanotechnology Unit, Duisburg, Germany
6
Rhenish Institute for Environmental Research (RIU), Aachenerstr. 209, 50931 Köln, Germany
7
Heinrich Heine University of Düsseldorf, Medical Faculty, Deanery of Medicine, Moorenstraße 5, Düsseldorf 40225, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Rebecca Sheesley
Received: 16 December 2015 / Revised: 15 March 2016 / Accepted: 15 March 2016 / Published: 19 March 2016
(This article belongs to the Special Issue Air Quality and Source Apportionment)
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Abstract

Two commonly used models to assess air pollution concentration for investigating health effects of air pollution in epidemiological studies are Land Use Regression (LUR) models and Dispersion and Chemistry Transport Models (DCTM). Both modeling approaches have been applied in the Ruhr area, Germany, a location where multiple cohort studies are being conducted. Application of these different modelling approaches leads to differences in exposure estimation and interpretation due to the specific characteristics of each model. We aimed to compare both model approaches by means of their respective aims, modeling characteristics, validation, temporal and spatial resolution, and agreement of residential exposure estimation, referring to the air pollutants PM2.5, PM10, and NO2. Residential exposure referred to air pollution exposure at residences of participants of the Heinz Nixdorf Recall Study, located in the Ruhr area. The point-specific ESCAPE (European Study of Cohorts on Air Pollution Effects)-LUR aims to temporally estimate stable long-term exposure to local, mostly traffic-related air pollution with respect to very small-scale spatial variations (≤100 m). In contrast, the EURAD (European Air Pollution Dispersion)-CTM aims to estimate a time-varying average air pollutant concentration in a small area (i.e., 1 km2), taking into account a range of major sources, e.g., traffic, industry, meteorological conditions, and transport. Overall agreement between EURAD-CTM and ESCAPE-LUR was weak to moderate on a residential basis. Restricting EURAD-CTM to sources of local traffic only, respective agreement was good. The possibility of combining the strengths of both applications will be the next step to enhance exposure assessment. View Full-Text
Keywords: air pollution; Land use regression; chemistry-transport dispersion-model air pollution; Land use regression; chemistry-transport dispersion-model
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Hennig, F.; Sugiri, D.; Tzivian, L.; Fuks, K.; Moebus, S.; Jöckel, K.-H.; Vienneau, D.; Kuhlbusch, T.A.; de Hoogh, K.; Memmesheimer, M.; Jakobs, H.; Quass, U.; Hoffmann, B. Comparison of Land-Use Regression Modeling with Dispersion and Chemistry Transport Modeling to Assign Air Pollution Concentrations within the Ruhr Area. Atmosphere 2016, 7, 48.

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