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Article Dans Une Revue Environmental Science and Pollution Research Année : 2014

Road traffic impact on urban water quality: a step towards integrated traffic, air and stormwater modelling

Résumé

Methods for simulating air pollution due to road traffic and the associated effects on stormwater runoff quality in an urban environment are examined with particular emphasis on the integration of the various simulation models into a consistent modelling chain. To that end, the models for traffic, pollutant emissions, atmospheric dispersion and deposition, and stormwater contamination are reviewed. The present study focuses on the implementation of a modelling chain for an actual urban case study, which is the contamination of water runoff by cadmium (Cd), lead (Pb), and zinc (Zn) in the Grigny urban catchment near Paris, France. First, traffic emissions are calculated with traffic inputs using the COPERT4 methodology. Next, the atmospheric dispersion of pollutants is simulated with the Polyphemus line source model and pollutant deposition fluxes in different subcatchment areas are calculated. Finally, the SWMMwater quantity and quality model is used to estimate the concentrations of pollutants in stormwater runoff. The simulation results are compared to mass flow rates and concentrations of Cd, Pb and Zn measured at the catchment outlet. The contribution of local traffic to stormwater contamination is estimated to be significant for Pb and, to a lesser extent, for Zn and Cd; however, Pb is most likely overestimated due to outdated emissions factors. The results demonstrate the importance of treating distributed traffic emissions from major roadways explicitly since the impact of these sources on concentrations in the catchment outlet is underestimated when those traffic
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Dates et versions

hal-00946957 , version 1 (14-02-2014)

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Masoud Fallahshorshani, Céline Bonhomme, Guido Petrucci, Michel Andre, Christian Seigneur. Road traffic impact on urban water quality: a step towards integrated traffic, air and stormwater modelling. Environmental Science and Pollution Research, 2014, ⟨10.1007/s11356-013-2370-x⟩. ⟨hal-00946957⟩
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