Articles | Volume 16, issue 17
https://doi.org/10.5194/gmd-16-5281-2023
https://doi.org/10.5194/gmd-16-5281-2023
Development and technical paper
 | 
14 Sep 2023
Development and technical paper |  | 14 Sep 2023

Modelling concentration heterogeneities in streets using the street-network model MUNICH

Thibaud Sarica, Alice Maison, Yelva Roustan, Matthias Ketzel, Steen Solvang Jensen, Youngseob Kim, Christophe Chaillou, and Karine Sartelet

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Cited articles

Amato, F., Pérez, N., López, M., Ripoll, A., Alastuey, A., Pandolfi, M., Karanasiou, A., Salmatonidis, A., Padoan, E., Frasca, D., Marcoccia, M., Viana, M., Moreno, T., Reche, C., Martins, V., Brines, M., Minguillón, M., Ealo, M., Rivas, I., van Drooge, B., Benavides, J., Craviotto, J., and Querol, X.: Vertical and horizontal fall-off of black carbon and NO2 within urban blocks, Sci. Total Environ., 686, 236–245, https://doi.org/10.1016/j.scitotenv.2019.05.434, 2019. a
Archambeau, F., Méchitoua, N., and Sakiz, M.: Code Saturne: A Finite Volume Code for the computation of turbulent incompressible flows – Industrial Applications, International Journal on Finite Volumes, 1, https://hal.science/hal-01115371 (last access: 12 September 2023), 2004. a
Atkinson, R.: Atmospheric chemistry of VOCs and NOx, Atmos. Environ., 34, 2063–2101, https://doi.org/10.1016/S1352-2310(99)00460-4, 2000. a
Benavides, J., Snyder, M., Guevara, M., Soret, A., Pérez García-Pando, C., Amato, F., Querol, X., and Jorba, O.: CALIOPE-Urban v1.0: coupling R-LINE with a mesoscale air quality modelling system for urban air quality forecasts over Barcelona city (Spain), Geosci. Model Dev., 12, 2811–2835, https://doi.org/10.5194/gmd-12-2811-2019, 2019. a
Berkowicz, R.: A simple model for urban background pollution, Environ. Monit. Assess., 65, 259–267, https://doi.org/10.1023/a:1006466025186, 2000a. a
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Short summary
A new version of the Model of Urban Network of Intersecting Canyons and Highways (MUNICH) is developed to represent heterogeneities of concentrations in streets. The street volume is discretized vertically and horizontally to limit the artificial dilution of emissions and concentrations. This new version is applied to street networks in Copenhagen and Paris. The comparisons to observations are improved, with higher concentrations of pollutants emitted by traffic at the bottom of the street.