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
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- Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign M. Biggart et al. 10.5194/acp-20-2755-2020
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- 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
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- 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
- 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
- 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
- Fast Models for Predicting Pollutant Dispersion inside Urban Canopies H. Wang et al. 10.3390/atmos14091337
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- 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
- To what extent is the description of streets important in estimating local air quality: a case study over Paris A. Squarcioni et al. 10.5194/acp-25-93-2025
- 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
- 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
- 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
- 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
1 citations as recorded by crossref.
Latest update: 30 Jan 2025
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...
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