Articles | Volume 11, issue 2
https://doi.org/10.5194/gmd-11-611-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-611-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
15 Feb 2018
Model description paper |
| 15 Feb 2018
| 15 Feb 2018
Multi-scale modeling of urban air pollution: development and application of a Street-in-Grid model (v1.0) by coupling MUNICH (v1.0) and Polair3D (v1.8.1)
CEREA, Joint Laboratory École des Ponts ParisTech / EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
You Wu
EDF R&D China, 100005 Beijing, China
Christian Seigneur
CEREA, Joint Laboratory École des Ponts ParisTech / EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
Yelva Roustan
CEREA, Joint Laboratory École des Ponts ParisTech / EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
Viewed
Total article views: 7,575 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Sep 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,706 | 2,657 | 212 | 7,575 | 259 | 330 |
- HTML: 4,706
- PDF: 2,657
- XML: 212
- Total: 7,575
- BibTeX: 259
- EndNote: 330
Total article views: 6,685 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Feb 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,249 | 2,236 | 200 | 6,685 | 250 | 314 |
- HTML: 4,249
- PDF: 2,236
- XML: 200
- Total: 6,685
- BibTeX: 250
- EndNote: 314
Total article views: 890 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Sep 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 457 | 421 | 12 | 890 | 9 | 16 |
- HTML: 457
- PDF: 421
- XML: 12
- Total: 890
- BibTeX: 9
- EndNote: 16
Viewed (geographical distribution)
Total article views: 7,575 (including HTML, PDF, and XML)
Thereof 7,143 with geography defined
and 432 with unknown origin.
Total article views: 6,685 (including HTML, PDF, and XML)
Thereof 6,291 with geography defined
and 394 with unknown origin.
Total article views: 890 (including HTML, PDF, and XML)
Thereof 852 with geography defined
and 38 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
64 citations as recorded by crossref.
- Description of the uEMEP_v5 downscaling approach for the EMEP MSC-W chemistry transport model B. Denby et al. https://doi.org/10.5194/gmd-13-6303-2020
- Parameterizing the aerodynamic effect of trees in street canyons for the street network model MUNICH using the CFD model Code_Saturne A. Maison et al. https://doi.org/10.5194/acp-22-9369-2022
- Intercomparison of two modeling approaches for traffic air pollution in street canyons L. Thouron et al. https://doi.org/10.1016/j.uclim.2018.11.006
- Population exposure to outdoor NO2, black carbon, and ultrafine and fine particles over Paris with multi-scale modelling down to the street scale S. Park et al. https://doi.org/10.5194/acp-25-3363-2025
- How far can we improve urban air quality and population exposure by changing mobility? An analysis in Paris L. Lugon et al. https://doi.org/10.1016/j.scitotenv.2025.180266
- Spatiotemporal Variability of Road Transport Emissions Based on Vehicle Speed Profiles—Impacts on Urban Air Quality: A Case Study for Thessaloniki, Greece N. Liora et al. https://doi.org/10.3390/atmos16121337
- MATHIS : A zonal urban climate model with a street network approach J. Soriano et al. https://doi.org/10.1016/j.buildenv.2025.113604
- Development and application of a multi-scale modeling framework for urban high-resolution NO2 pollution mapping Z. Lv et al. https://doi.org/10.5194/acp-22-15685-2022
- Propagation of toxic substances in the urban atmosphere: A complex network perspective S. Fellini et al. https://doi.org/10.1016/j.atmosenv.2018.10.062
- A two-way coupled regional urban–street network air quality model system for Beijing, China T. Wang et al. https://doi.org/10.5194/gmd-16-5585-2023
- Sensitivity of pollutant concentrations in urban streets to asphalt and traffic-related emissions T. Sarica et al. https://doi.org/10.1016/j.envpol.2023.121955
- Parametrization of Horizontal and Vertical Transfers for the Street-Network Model MUNICH Using the CFD Model Code_Saturne A. Maison et al. https://doi.org/10.3390/atmos13040527
- O3–NOx–VOCs photochemical pollutant dispersion in 2D street canyon under effects of solar radiation J. Liang et al. https://doi.org/10.1016/j.atmosenv.2025.121032
- High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid B. Mijling et al. https://doi.org/10.5194/gmd-18-6439-2025
- THE OPTIMAL SETTINGS FOR THE ONLINE-INTEGRATED MODEL ENVIRO-HIRLAM IN ORDER TO SIMULATE THE ATMOSPHERE-CHEMISTRY INTERACTION FOR THE UKRAINIAN TERRITORY M. Savenets & L. Pysarenko https://doi.org/10.15407/Meteorology2022.02.035
- Three-dimensional pollutant dispersion in tree-lined urban canyons: Combined wind-tunnel and LES analysis S. Fellini et al. https://doi.org/10.1016/j.atmosenv.2025.121748
- Advances in air quality research – current and emerging challenges R. Sokhi et al. https://doi.org/10.5194/acp-22-4615-2022
- Development and Evaluation of the Online Hybrid Model CAMx-LPiG A. Piccoli et al. https://doi.org/10.3390/atmos16050604
- An integrated air quality modeling system coupling regional-urban and street models in Beijing T. Wang et al. https://doi.org/10.1016/j.uclim.2022.101143
- Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling J. Ching et al. https://doi.org/10.1016/j.uclim.2019.100459
- Vehicle Pollutant Dispersion in the Urban Atmospheric Environment: A Review of Mechanism, Modeling, and Application M. Liang et al. https://doi.org/10.3390/atmos14020279
- Urban air quality: What is the optimal place to reduce transport emissions? T. Li et al. https://doi.org/10.1016/j.atmosenv.2022.119432
- Does Downscaling Improve the Performance of Urban Ozone Modeling? Y. Wang et al. https://doi.org/10.1029/2023GL104761
- Contrasting effects of urban trees on air quality: From the aerodynamic effects in streets to impacts of biogenic emissions in cities A. Maison et al. https://doi.org/10.1016/j.scitotenv.2024.174116
- Nonstationary modeling of NO2, NO and NOx in Paris using the Street-in-Grid model: coupling local and regional scales with a two-way dynamic approach L. Lugon et al. https://doi.org/10.5194/acp-20-7717-2020
- Downscaling of air pollutants in Europe using uEMEP_v6 Q. Mu et al. https://doi.org/10.5194/gmd-15-449-2022
- MUNICH v2.0: a street-network model coupled with SSH-aerosol (v1.2) for multi-pollutant modelling Y. Kim et al. https://doi.org/10.5194/gmd-15-7371-2022
- Recent progress, bottlenecks, and outlook of multiscale air quality modelling: a review Y. Dai et al. https://doi.org/10.1016/j.aeaoa.2026.100435
- Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0 A. Criado et al. https://doi.org/10.5194/gmd-16-2193-2023
- Modelling concentration heterogeneities in streets using the street-network model MUNICH T. Sarica et al. https://doi.org/10.5194/gmd-16-5281-2023
- Spatially resolved analysis of speciated VOC emissions and their contributions to secondary pollutant formation: a comparative assessment of anthropogenic and biogenic sources in China Y. Wang et al. https://doi.org/10.1016/j.envint.2025.109627
- Simulation of O3 and NOx in São Paulo street urban canyons with VEIN (v0.2.2) and MUNICH (v1.0) M. Gavidia-Calderón et al. https://doi.org/10.5194/gmd-14-3251-2021
- Numerical investigation of building gap effects on traffic pollutant dispersion in urban networks with intersecting streets Y. Wang et al. https://doi.org/10.1016/j.apr.2025.102475
- Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang https://doi.org/10.1016/j.glt.2020.11.001
- Urban Air Chemistry in Changing Times G. Hidy https://doi.org/10.3390/atmos13020327
- Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data L. Wu et al. https://doi.org/10.5194/gmd-13-23-2020
- Effect of vehicle fleet composition and mobility on outdoor population exposure: A street resolution analysis in Paris L. Lugon et al. https://doi.org/10.1016/j.apr.2022.101365
- Vulnerability of cities to toxic airborne releases is written in their topology S. Fellini et al. https://doi.org/10.1038/s41598-021-02403-y
- Modelling of Deep Street Canyon Air Pollution Chemistry and Transport: A Wintertime Naples Case Study Y. Dai et al. https://doi.org/10.3390/atmos14091385
- Influence of distinct mobility scenarios on NO2, PM2.5 and PM10 street-level concentrations — A case study in a Brazilian urban neighborhood K. Cevolani et al. https://doi.org/10.1016/j.apr.2024.102126
- Models of Air Pollution Propagation in the Selected Region of Katowice D. Foszcz et al. https://doi.org/10.3390/atmos12060695
- BWO-CAformer: An improved Informer model for AQI prediction in Beijing and Wuhan X. Dong et al. https://doi.org/10.1016/j.psep.2025.106800
- CALIOPE-Urban v1.0: coupling R-LINE with a mesoscale air quality modelling system for urban air quality forecasts over Barcelona city (Spain) J. Benavides et al. https://doi.org/10.5194/gmd-12-2811-2019
- Uptake of atmospheric pollutants on road asphalt pavements: an underestimated sink in urban environments M. Rossi et al. https://doi.org/10.1038/s44407-025-00043-4
- The challenges of air quality modelling when crossing multiple spatial scales C. Silveira et al. https://doi.org/10.1007/s11869-019-00733-5
- Simulation of primary and secondary particles in the streets of Paris using MUNICH L. Lugon et al. https://doi.org/10.1039/D0FD00092B
- Comprehensive evaluation of an advanced street canyon air pollution model C. Hood et al. https://doi.org/10.1080/10962247.2020.1803158
- Differentiated impact of low-exhaust-emission vehicles on NO$$_\text {2}$$ and particle concentrations in the Paris region T. Sarica et al. https://doi.org/10.1186/s12544-024-00660-2
- Fast Models for Predicting Pollutant Dispersion inside Urban Canopies H. Wang et al. https://doi.org/10.3390/atmos14091337
- Segregation of Atmospheric Oxidants in Turbulent Urban Environments Y. Wang et al. https://doi.org/10.3390/atmos13020315
- Black carbon modeling in urban areas: investigating the influence of resuspension and non-exhaust emissions in streets using the Street-in-Grid model for inert particles (SinG-inert) L. Lugon et al. https://doi.org/10.5194/gmd-14-7001-2021
- The Fogees system for forecasting particulate matter concentrations in urban areas K. Brzozowski et al. https://doi.org/10.1016/j.envsoft.2024.106205
- Impact of trees on gas concentrations and condensables in a 2-D street canyon using CFD coupled to chemistry modeling Y. Wang et al. https://doi.org/10.1016/j.envpol.2023.121210
- NOx emissions by real-world fresh and old asphalt mixtures: Impact of temperature, relative humidity, and UV-irradiation J. Lasne et al. https://doi.org/10.1016/j.uclim.2023.101457
- Validation and analysis of the Polair3D v1.11 chemical transport model over Quebec S. Yamanouchi et al. https://doi.org/10.5194/gmd-17-3579-2024
- An integrated multiscale air quality modelling framework for industrial park pollution: linking local emissions to regional transport T. Wang et al. https://doi.org/10.1016/j.jes.2025.12.020
- To what extent is the description of streets important in estimating local air quality: a case study over Paris A. Squarcioni et al. https://doi.org/10.5194/acp-25-93-2025
- Modulation mechanisms of seasonal PM2.5 by 2D/3D urban morphology under background meteorological conditions: Insights from a GAM-based analysis M. Wu et al. https://doi.org/10.1016/j.apr.2025.102817
- Addressing the issue of exposure to primary pollution in urban areas: Application to Greater Paris A. Elessa Etuman et al. https://doi.org/10.1016/j.atmosenv.2020.117661
- Spatiotemporal analysis of traffic congestion, air pollution, and exposure vulnerability in Tanzania S. Dasgupta et al. https://doi.org/10.1016/j.scitotenv.2021.147114
- Combined Effects of Photochemical Processes, Pollutant Sources and Urban Configuration on Photochemical Pollutant Concentrations J. Liang et al. https://doi.org/10.3390/su15043281
- Modeling of street-scale pollutant dispersion by coupled simulation of chemical reaction, aerosol dynamics, and CFD C. Lin et al. https://doi.org/10.5194/acp-23-1421-2023
- Street-scale traffic emission inventory derived from GeoVideo and coupled WRF/Chem–MUNICH modelling for urban air quality management: A case study in Kaifeng, China H. Song et al. https://doi.org/10.1016/j.uclim.2025.102689
- A Century of Vehicular Emissions in Brazil: Unveiling the Impacts of Unique Fuel Mix on Air Quality S. Ibarra-Espinosa et al. https://doi.org/10.1021/acs.est.5c08400
64 citations as recorded by crossref.
- Description of the uEMEP_v5 downscaling approach for the EMEP MSC-W chemistry transport model B. Denby et al. https://doi.org/10.5194/gmd-13-6303-2020
- Parameterizing the aerodynamic effect of trees in street canyons for the street network model MUNICH using the CFD model Code_Saturne A. Maison et al. https://doi.org/10.5194/acp-22-9369-2022
- Intercomparison of two modeling approaches for traffic air pollution in street canyons L. Thouron et al. https://doi.org/10.1016/j.uclim.2018.11.006
- Population exposure to outdoor NO2, black carbon, and ultrafine and fine particles over Paris with multi-scale modelling down to the street scale S. Park et al. https://doi.org/10.5194/acp-25-3363-2025
- How far can we improve urban air quality and population exposure by changing mobility? An analysis in Paris L. Lugon et al. https://doi.org/10.1016/j.scitotenv.2025.180266
- Spatiotemporal Variability of Road Transport Emissions Based on Vehicle Speed Profiles—Impacts on Urban Air Quality: A Case Study for Thessaloniki, Greece N. Liora et al. https://doi.org/10.3390/atmos16121337
- MATHIS : A zonal urban climate model with a street network approach J. Soriano et al. https://doi.org/10.1016/j.buildenv.2025.113604
- Development and application of a multi-scale modeling framework for urban high-resolution NO2 pollution mapping Z. Lv et al. https://doi.org/10.5194/acp-22-15685-2022
- Propagation of toxic substances in the urban atmosphere: A complex network perspective S. Fellini et al. https://doi.org/10.1016/j.atmosenv.2018.10.062
- A two-way coupled regional urban–street network air quality model system for Beijing, China T. Wang et al. https://doi.org/10.5194/gmd-16-5585-2023
- Sensitivity of pollutant concentrations in urban streets to asphalt and traffic-related emissions T. Sarica et al. https://doi.org/10.1016/j.envpol.2023.121955
- Parametrization of Horizontal and Vertical Transfers for the Street-Network Model MUNICH Using the CFD Model Code_Saturne A. Maison et al. https://doi.org/10.3390/atmos13040527
- O3–NOx–VOCs photochemical pollutant dispersion in 2D street canyon under effects of solar radiation J. Liang et al. https://doi.org/10.1016/j.atmosenv.2025.121032
- High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid B. Mijling et al. https://doi.org/10.5194/gmd-18-6439-2025
- THE OPTIMAL SETTINGS FOR THE ONLINE-INTEGRATED MODEL ENVIRO-HIRLAM IN ORDER TO SIMULATE THE ATMOSPHERE-CHEMISTRY INTERACTION FOR THE UKRAINIAN TERRITORY M. Savenets & L. Pysarenko https://doi.org/10.15407/Meteorology2022.02.035
- Three-dimensional pollutant dispersion in tree-lined urban canyons: Combined wind-tunnel and LES analysis S. Fellini et al. https://doi.org/10.1016/j.atmosenv.2025.121748
- Advances in air quality research – current and emerging challenges R. Sokhi et al. https://doi.org/10.5194/acp-22-4615-2022
- Development and Evaluation of the Online Hybrid Model CAMx-LPiG A. Piccoli et al. https://doi.org/10.3390/atmos16050604
- An integrated air quality modeling system coupling regional-urban and street models in Beijing T. Wang et al. https://doi.org/10.1016/j.uclim.2022.101143
- Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling J. Ching et al. https://doi.org/10.1016/j.uclim.2019.100459
- Vehicle Pollutant Dispersion in the Urban Atmospheric Environment: A Review of Mechanism, Modeling, and Application M. Liang et al. https://doi.org/10.3390/atmos14020279
- Urban air quality: What is the optimal place to reduce transport emissions? T. Li et al. https://doi.org/10.1016/j.atmosenv.2022.119432
- Does Downscaling Improve the Performance of Urban Ozone Modeling? Y. Wang et al. https://doi.org/10.1029/2023GL104761
- Contrasting effects of urban trees on air quality: From the aerodynamic effects in streets to impacts of biogenic emissions in cities A. Maison et al. https://doi.org/10.1016/j.scitotenv.2024.174116
- Nonstationary modeling of NO2, NO and NOx in Paris using the Street-in-Grid model: coupling local and regional scales with a two-way dynamic approach L. Lugon et al. https://doi.org/10.5194/acp-20-7717-2020
- Downscaling of air pollutants in Europe using uEMEP_v6 Q. Mu et al. https://doi.org/10.5194/gmd-15-449-2022
- MUNICH v2.0: a street-network model coupled with SSH-aerosol (v1.2) for multi-pollutant modelling Y. Kim et al. https://doi.org/10.5194/gmd-15-7371-2022
- Recent progress, bottlenecks, and outlook of multiscale air quality modelling: a review Y. Dai et al. https://doi.org/10.1016/j.aeaoa.2026.100435
- Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0 A. Criado et al. https://doi.org/10.5194/gmd-16-2193-2023
- Modelling concentration heterogeneities in streets using the street-network model MUNICH T. Sarica et al. https://doi.org/10.5194/gmd-16-5281-2023
- Spatially resolved analysis of speciated VOC emissions and their contributions to secondary pollutant formation: a comparative assessment of anthropogenic and biogenic sources in China Y. Wang et al. https://doi.org/10.1016/j.envint.2025.109627
- Simulation of O3 and NOx in São Paulo street urban canyons with VEIN (v0.2.2) and MUNICH (v1.0) M. Gavidia-Calderón et al. https://doi.org/10.5194/gmd-14-3251-2021
- Numerical investigation of building gap effects on traffic pollutant dispersion in urban networks with intersecting streets Y. Wang et al. https://doi.org/10.1016/j.apr.2025.102475
- Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang https://doi.org/10.1016/j.glt.2020.11.001
- Urban Air Chemistry in Changing Times G. Hidy https://doi.org/10.3390/atmos13020327
- Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data L. Wu et al. https://doi.org/10.5194/gmd-13-23-2020
- Effect of vehicle fleet composition and mobility on outdoor population exposure: A street resolution analysis in Paris L. Lugon et al. https://doi.org/10.1016/j.apr.2022.101365
- Vulnerability of cities to toxic airborne releases is written in their topology S. Fellini et al. https://doi.org/10.1038/s41598-021-02403-y
- Modelling of Deep Street Canyon Air Pollution Chemistry and Transport: A Wintertime Naples Case Study Y. Dai et al. https://doi.org/10.3390/atmos14091385
- Influence of distinct mobility scenarios on NO2, PM2.5 and PM10 street-level concentrations — A case study in a Brazilian urban neighborhood K. Cevolani et al. https://doi.org/10.1016/j.apr.2024.102126
- Models of Air Pollution Propagation in the Selected Region of Katowice D. Foszcz et al. https://doi.org/10.3390/atmos12060695
- BWO-CAformer: An improved Informer model for AQI prediction in Beijing and Wuhan X. Dong et al. https://doi.org/10.1016/j.psep.2025.106800
- CALIOPE-Urban v1.0: coupling R-LINE with a mesoscale air quality modelling system for urban air quality forecasts over Barcelona city (Spain) J. Benavides et al. https://doi.org/10.5194/gmd-12-2811-2019
- Uptake of atmospheric pollutants on road asphalt pavements: an underestimated sink in urban environments M. Rossi et al. https://doi.org/10.1038/s44407-025-00043-4
- The challenges of air quality modelling when crossing multiple spatial scales C. Silveira et al. https://doi.org/10.1007/s11869-019-00733-5
- Simulation of primary and secondary particles in the streets of Paris using MUNICH L. Lugon et al. https://doi.org/10.1039/D0FD00092B
- Comprehensive evaluation of an advanced street canyon air pollution model C. Hood et al. https://doi.org/10.1080/10962247.2020.1803158
- Differentiated impact of low-exhaust-emission vehicles on NO$$_\text {2}$$ and particle concentrations in the Paris region T. Sarica et al. https://doi.org/10.1186/s12544-024-00660-2
- Fast Models for Predicting Pollutant Dispersion inside Urban Canopies H. Wang et al. https://doi.org/10.3390/atmos14091337
- Segregation of Atmospheric Oxidants in Turbulent Urban Environments Y. Wang et al. https://doi.org/10.3390/atmos13020315
- Black carbon modeling in urban areas: investigating the influence of resuspension and non-exhaust emissions in streets using the Street-in-Grid model for inert particles (SinG-inert) L. Lugon et al. https://doi.org/10.5194/gmd-14-7001-2021
- The Fogees system for forecasting particulate matter concentrations in urban areas K. Brzozowski et al. https://doi.org/10.1016/j.envsoft.2024.106205
- Impact of trees on gas concentrations and condensables in a 2-D street canyon using CFD coupled to chemistry modeling Y. Wang et al. https://doi.org/10.1016/j.envpol.2023.121210
- NOx emissions by real-world fresh and old asphalt mixtures: Impact of temperature, relative humidity, and UV-irradiation J. Lasne et al. https://doi.org/10.1016/j.uclim.2023.101457
- Validation and analysis of the Polair3D v1.11 chemical transport model over Quebec S. Yamanouchi et al. https://doi.org/10.5194/gmd-17-3579-2024
- An integrated multiscale air quality modelling framework for industrial park pollution: linking local emissions to regional transport T. Wang et al. https://doi.org/10.1016/j.jes.2025.12.020
- To what extent is the description of streets important in estimating local air quality: a case study over Paris A. Squarcioni et al. https://doi.org/10.5194/acp-25-93-2025
- Modulation mechanisms of seasonal PM2.5 by 2D/3D urban morphology under background meteorological conditions: Insights from a GAM-based analysis M. Wu et al. https://doi.org/10.1016/j.apr.2025.102817
- Addressing the issue of exposure to primary pollution in urban areas: Application to Greater Paris A. Elessa Etuman et al. https://doi.org/10.1016/j.atmosenv.2020.117661
- Spatiotemporal analysis of traffic congestion, air pollution, and exposure vulnerability in Tanzania S. Dasgupta et al. https://doi.org/10.1016/j.scitotenv.2021.147114
- Combined Effects of Photochemical Processes, Pollutant Sources and Urban Configuration on Photochemical Pollutant Concentrations J. Liang et al. https://doi.org/10.3390/su15043281
- Modeling of street-scale pollutant dispersion by coupled simulation of chemical reaction, aerosol dynamics, and CFD C. Lin et al. https://doi.org/10.5194/acp-23-1421-2023
- Street-scale traffic emission inventory derived from GeoVideo and coupled WRF/Chem–MUNICH modelling for urban air quality management: A case study in Kaifeng, China H. Song et al. https://doi.org/10.1016/j.uclim.2025.102689
- A Century of Vehicular Emissions in Brazil: Unveiling the Impacts of Unique Fuel Mix on Air Quality S. Ibarra-Espinosa et al. https://doi.org/10.1021/acs.est.5c08400
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
A new multi-scale model of urban air pollution is presented. This model combines a regional chemical transport model (CTM) with spatial scales down to 1 km and a street-network model. The street-network model MUNICH is coupled to the Polair3D CTM to constitute the Street-in-Grid (SinG) model. SinG and MUNICH are used to simulate the concentrations of NOx and ozone in a Paris suburb. SinG shows better performance than MUNICH for NO2 measured at monitoring stations within a street canyon.
A new multi-scale model of urban air pollution is presented. This model combines a regional...
