Articles | Volume 20, issue 13
https://doi.org/10.5194/acp-20-7717-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-7717-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jul 2020
Research article |
| 03 Jul 2020
| 03 Jul 2020
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
CEREA, Joint Laboratory École des Ponts ParisTech/EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
Paris Department of Green Spaces and Environment, 103 Avenue de France, 75013, Paris, France
CEREA, Joint Laboratory École des Ponts ParisTech/EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
Youngseob Kim
CEREA, Joint Laboratory École des Ponts ParisTech/EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
Jérémy Vigneron
AIRPARIF, 75004, Paris, France
Olivier Chrétien
Paris Department of Green Spaces and Environment, 103 Avenue de France, 75013, Paris, France
Viewed
Total article views: 3,248 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Dec 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,305 | 903 | 40 | 3,248 | 51 | 46 |
- HTML: 2,305
- PDF: 903
- XML: 40
- Total: 3,248
- BibTeX: 51
- EndNote: 46
Total article views: 2,654 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Jul 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,045 | 571 | 38 | 2,654 | 46 | 40 |
- HTML: 2,045
- PDF: 571
- XML: 38
- Total: 2,654
- BibTeX: 46
- EndNote: 40
Total article views: 594 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Dec 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 260 | 332 | 2 | 594 | 5 | 6 |
- HTML: 260
- PDF: 332
- XML: 2
- Total: 594
- BibTeX: 5
- EndNote: 6
Viewed (geographical distribution)
Total article views: 3,248 (including HTML, PDF, and XML)
Thereof 3,299 with geography defined
and -51 with unknown origin.
Total article views: 2,654 (including HTML, PDF, and XML)
Thereof 2,688 with geography defined
and -34 with unknown origin.
Total article views: 594 (including HTML, PDF, and XML)
Thereof 611 with geography defined
and -17 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
24 citations as recorded by crossref.
- Simulation of O<sub>3</sub> and NO<sub><i>x</i></sub> in São Paulo street urban canyons with VEIN (v0.2.2) and MUNICH (v1.0) M. Gavidia-Calderón et al. 10.5194/gmd-14-3251-2021
- 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. 10.5194/gmd-14-7001-2021
- Impact of trees on gas concentrations and condensables in a 2-D street canyon using CFD coupled to chemistry modeling Y. Wang et al. 10.1016/j.envpol.2023.121210
- Validation and analysis of the Polair3D v1.11 chemical transport model over Quebec S. Yamanouchi et al. 10.5194/gmd-17-3579-2024
- An integrated air quality modeling system coupling regional-urban and street models in Beijing T. Wang et al. 10.1016/j.uclim.2022.101143
- Effect of vehicle fleet composition and mobility on outdoor population exposure: A street resolution analysis in Paris L. Lugon et al. 10.1016/j.apr.2022.101365
- Combined Effects of Photochemical Processes, Pollutant Sources and Urban Configuration on Photochemical Pollutant Concentrations J. Liang et al. 10.3390/su15043281
- 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. 10.1016/j.apr.2024.102126
- 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. 10.1016/j.scitotenv.2024.174116
- Does Downscaling Improve the Performance of Urban Ozone Modeling? Y. Wang et al. 10.1029/2023GL104761
- MUNICH v2.0: a street-network model coupled with SSH-aerosol (v1.2) for multi-pollutant modelling Y. Kim et al. 10.5194/gmd-15-7371-2022
- Estimating background concentrations of PM2.5 for urban air quality modelling in a data poor environment E. Draper et al. 10.1016/j.atmosenv.2023.120107
- 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. 10.5194/acp-22-9369-2022
- Sensitivity of pollutant concentrations in urban streets to asphalt and traffic-related emissions T. Sarica et al. 10.1016/j.envpol.2023.121955
- Simulation of primary and secondary particles in the streets of Paris using MUNICH L. Lugon et al. 10.1039/D0FD00092B
- Differentiated impact of low-exhaust-emission vehicles on NO$$_\text {2}$$ and particle concentrations in the Paris region T. Sarica et al. 10.1186/s12544-024-00660-2
- Modelling molecular composition of SOA from toluene photo-oxidation at urban and street scales K. Sartelet et al. 10.1039/D4EA00049H
- Impact of emissions from a single urban source on air quality estimated from mobile observation and WRF-STILT model simulations H. Fan et al. 10.1007/s11869-021-01023-9
- A two-way coupled regional urban–street network air quality model system for Beijing, China T. Wang et al. 10.5194/gmd-16-5585-2023
- Parametrization of Horizontal and Vertical Transfers for the Street-Network Model MUNICH Using the CFD Model Code_Saturne A. Maison et al. 10.3390/atmos13040527
- Spatial model for daily air quality high resolution estimation M. Jacquinot et al. 10.1007/s11869-024-01566-7
- Fast Models for Predicting Pollutant Dispersion inside Urban Canopies H. Wang et al. 10.3390/atmos14091337
- Modelling concentration heterogeneities in streets using the street-network model MUNICH T. Sarica et al. 10.5194/gmd-16-5281-2023
- Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign M. Biggart et al. 10.5194/acp-20-2755-2020
23 citations as recorded by crossref.
- Simulation of O<sub>3</sub> and NO<sub><i>x</i></sub> in São Paulo street urban canyons with VEIN (v0.2.2) and MUNICH (v1.0) M. Gavidia-Calderón et al. 10.5194/gmd-14-3251-2021
- 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. 10.5194/gmd-14-7001-2021
- Impact of trees on gas concentrations and condensables in a 2-D street canyon using CFD coupled to chemistry modeling Y. Wang et al. 10.1016/j.envpol.2023.121210
- Validation and analysis of the Polair3D v1.11 chemical transport model over Quebec S. Yamanouchi et al. 10.5194/gmd-17-3579-2024
- An integrated air quality modeling system coupling regional-urban and street models in Beijing T. Wang et al. 10.1016/j.uclim.2022.101143
- Effect of vehicle fleet composition and mobility on outdoor population exposure: A street resolution analysis in Paris L. Lugon et al. 10.1016/j.apr.2022.101365
- Combined Effects of Photochemical Processes, Pollutant Sources and Urban Configuration on Photochemical Pollutant Concentrations J. Liang et al. 10.3390/su15043281
- 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. 10.1016/j.apr.2024.102126
- 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. 10.1016/j.scitotenv.2024.174116
- Does Downscaling Improve the Performance of Urban Ozone Modeling? Y. Wang et al. 10.1029/2023GL104761
- MUNICH v2.0: a street-network model coupled with SSH-aerosol (v1.2) for multi-pollutant modelling Y. Kim et al. 10.5194/gmd-15-7371-2022
- Estimating background concentrations of PM2.5 for urban air quality modelling in a data poor environment E. Draper et al. 10.1016/j.atmosenv.2023.120107
- 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. 10.5194/acp-22-9369-2022
- Sensitivity of pollutant concentrations in urban streets to asphalt and traffic-related emissions T. Sarica et al. 10.1016/j.envpol.2023.121955
- Simulation of primary and secondary particles in the streets of Paris using MUNICH L. Lugon et al. 10.1039/D0FD00092B
- Differentiated impact of low-exhaust-emission vehicles on NO$$_\text {2}$$ and particle concentrations in the Paris region T. Sarica et al. 10.1186/s12544-024-00660-2
- Modelling molecular composition of SOA from toluene photo-oxidation at urban and street scales K. Sartelet et al. 10.1039/D4EA00049H
- Impact of emissions from a single urban source on air quality estimated from mobile observation and WRF-STILT model simulations H. Fan et al. 10.1007/s11869-021-01023-9
- A two-way coupled regional urban–street network air quality model system for Beijing, China T. Wang et al. 10.5194/gmd-16-5585-2023
- Parametrization of Horizontal and Vertical Transfers for the Street-Network Model MUNICH Using the CFD Model Code_Saturne A. Maison et al. 10.3390/atmos13040527
- Spatial model for daily air quality high resolution estimation M. Jacquinot et al. 10.1007/s11869-024-01566-7
- Fast Models for Predicting Pollutant Dispersion inside Urban Canopies H. Wang et al. 10.3390/atmos14091337
- Modelling concentration heterogeneities in streets using the street-network model MUNICH T. Sarica et al. 10.5194/gmd-16-5281-2023
1 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
This study presents a new version of the multi-scale model Street-in-Grid (SinG) that interconnects regional and local scales in air-quality modeling in urban areas. The new version of SinG performs the finest coupling between transport and chemistry, leading to a numerically stable partitioning between NO and NO2. Multi-scale, local-scale and regional-scale simulations of NO, NO2 and NOx over Paris are compared to observations, and SinG shows good performance for both local and regional scales.
This study presents a new version of the multi-scale model Street-in-Grid (SinG) that...
Altmetrics
Final-revised paper
Preprint