Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14323
Title: Simulating the impact of urban sprawl on air quality and population exposure in the German Ruhr area. Part II: Development and evaluation of an urban growth scenario
Authors: De Ridder, Koen
Lefebre, Filip
Adriaensen, Stefan
Arnold, Ute
Beckroege, Wolfgang
Bronner, Christine
Damsgaard, Ole
Dostal, Ivo
Dufek, Jiri
Hirsch, Jacky
INT PANIS, Luc 
Kotek, Zdenek
Ramadier, Thierry
Thierry, Annette
Vermoote, Stijn
Wania, Annett
Weber, Christiane
Issue Date: 2008
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Source: ATMOSPHERIC ENVIRONMENT, 42 (30), p. 7070-7077
Abstract: The impact of uncontrolled urban growth ('sprawl') on air pollution and associated population exposure is investigated. This is done for the Ruhr area in Germany, by means of a coupled modelling system dealing with land use changes, traffic, meteorology, and atmospheric dispersion and chemistry. In a companion paper [De Ridder, K., Lefebre F., Adriaensen S., Arnold U., Beckroege W., Bronner C., Damsgaard O., Dostal I., Dufek J., Hirsch J., Int Panis L., Kotek Z., Ramadier T., Thierry A., Vermoote S., Wania A., Weber C., 2008. Simulating the impact of urban sprawl on air quality and population exposure in the German Ruhr area. Part I: reproducing the base state.], a description was given of the coupling of these models and of the validation of simulation results. In the present paper, a land use change scenario was implemented to mimic urban sprawl, relocating 12% of the urban population in the study domain to the green periphery. The resulting updated land use, population and employment density patterns were then used as input for traffic simulations, yielding an increase of total traffic volume by almost 17%. As a consequence, the domain-average simulated pollutant concentrations of ozone and particulate matter increased, though by a smaller amount, of approximately 4%. In a final step, population exposure to air pollution was calculated, both for the base case and the scenario simulations. A very slight domain-average exposure increase was found, of the order of a half percent. A compensating mechanism was identified, explaining this small figure. However, when stratifying the population into groups of individuals that were relocated to the urban periphery and those that were not, much larger exposure changes following urban sprawl emerged. Indeed, it was found that the relatively small proportion of relocated individuals benefited of a decrease of exposure to particulate matter by almost 13%, mainly because of their moving out of the most polluted areas; and that this came at the expense of an increase of exposure of 1.2% by the individuals not having moved. (c) 2008 Elsevier Ltd. All rights reserved.
Notes: [De Ridder, Koen; Lefebre, Filip; Adriaensen, Stefan; Int Panis, Luc; Vermoote, Stijn] Vlaamse Instelling Technol Onderzoek, Flemish Inst Technol Res, B-2400 Mol, Belgium. [Arnold, Ute; Beckroege, Wolfgang] Kommunalverbant Ruhrgebiet KVR, Essen, Germany. [Bronner, Christine; Hirsch, Jacky; Ramadier, Thierry; Wania, Annett; Weber, Christiane] Univ Strasbourg 1, Strasbourg, France. [Damsgaard, Ole; Thierry, Annette] DTPI, Copenhagen, Denmark. [Dostal, Ivo; Dufek, Jiri; Kotek, Zdenek] Transport Res Ctr CDV, Brno, Czech Republic.
Keywords: Urban sprawl; Air quality modelling; Human exposure;Environmental Sciences; Meteorology & Atmospheric Sciences; urban sprawl; air quality modelling; human exposure
Document URI: http://hdl.handle.net/1942/14323
ISSN: 1352-2310
e-ISSN: 1873-2844
DOI: 10.1016/j.atmosenv.2008.06.044
ISI #: 000260265300006
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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