Articles | Volume 16, issue 19
https://doi.org/10.5194/gmd-16-5585-2023
© Author(s) 2023. 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-16-5585-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A two-way coupled regional urban–street network air quality model system for Beijing, China
Tao Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Chinese Academy of Sciences, Beijing, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Chinese Academy of Sciences, Beijing, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
Jie Li
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Chinese Academy of Sciences, Beijing, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
Shuai Wang
China National Environmental Monitoring Centre, Beijing, China
Youngseob Kim
CEREA, École des Ponts, EDF R&D, Marne-la-Vallée, France
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Chinese Academy of Sciences, Beijing, China
Wenyi Yang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Chinese Academy of Sciences, Beijing, China
Huiyun Du
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Chinese Academy of Sciences, Beijing, China
Zifa Wang
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Chinese Academy of Sciences, Beijing, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
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Cited
9 citations as recorded by crossref.
- Development and Evaluation of the Online Hybrid Model CAMx-LPiG A. Piccoli et al. https://doi.org/10.3390/atmos16050604
- 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
- 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
- Navigating the network: Comparing modular and non-modular neighborhoods for better pedestrian flow K. Alawadi et al. https://doi.org/10.1016/j.cities.2024.105612
- Evaluating near-field effects of large point source emissions on ambient ozone with coupled Lagrangian and Eulerian models M. Zhang et al. https://doi.org/10.1016/j.envpol.2025.127157
- Advances and Perspectives in Atmospheric Environment Modeling in China Z. Wang et al. https://doi.org/10.1007/s00376-026-5677-5
- NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al. https://doi.org/10.5194/gmd-17-8495-2024
- 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
- Digital twin for city traffic emissions using deep vision and real time monitoring T. Wang et al. https://doi.org/10.1038/s44333-026-00116-1
9 citations as recorded by crossref.
- Development and Evaluation of the Online Hybrid Model CAMx-LPiG A. Piccoli et al. https://doi.org/10.3390/atmos16050604
- 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
- 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
- Navigating the network: Comparing modular and non-modular neighborhoods for better pedestrian flow K. Alawadi et al. https://doi.org/10.1016/j.cities.2024.105612
- Evaluating near-field effects of large point source emissions on ambient ozone with coupled Lagrangian and Eulerian models M. Zhang et al. https://doi.org/10.1016/j.envpol.2025.127157
- Advances and Perspectives in Atmospheric Environment Modeling in China Z. Wang et al. https://doi.org/10.1007/s00376-026-5677-5
- NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al. https://doi.org/10.5194/gmd-17-8495-2024
- 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
- Digital twin for city traffic emissions using deep vision and real time monitoring T. Wang et al. https://doi.org/10.1038/s44333-026-00116-1
Saved (final revised paper)
Latest update: 12 Sep 2026
Short summary
This paper developed a two-way coupled module in a new version of a regional urban–street network model, IAQMS-street v2.0, in which the mass flux from streets to background is considered. Test cases are defined to evaluate the performance of IAQMS-street v2.0 in Beijing by comparing it with that simulated by IAQMS-street v1.0 and a regional model. The contribution of local emissions and the influence of on-road vehicle control measures on air quality are evaluated by using IAQMS-street v2.0.
This paper developed a two-way coupled module in a new version of a regional urban–street...