Air quality research at street level (ACP/GMD inter-journal SI)(ACP/GMD inter-journal SI)
Air quality research at street level (ACP/GMD inter-journal SI)(ACP/GMD inter-journal SI)
Editor(s): Y. Zhang, K. Sartelet, S. Gong, and Q. Zhang Special issue jointly organized between Atmospheric Chemistry and Physics and Geoscientific Model Development
Rapid population growth and urbanisation worldwide accelerate eco-environmental/socio-economic stress as well as adverse climatic and health impacts on urban dwellers. Atmospheric modelling research has largely been performed on a horizontal grid spacing of kilometres or larger due to a lack of understanding of the local-scale phenomena, appropriate parameterisations, and adequate modelling tools, and computer resources. Urban/local street-level air pollution, climate change, and their impacts on population exposure and human health have increasingly received attentions by both researchers and policymakers around the world. Several state-of-the-science models have been recently developed for urban/local street-level air pollution modelling, including the street-network model, the Model of Urban Network of Intersecting Canyons and Highways (MUNICH) that incorporates detailed representations of gas-phase chemistry and secondary aerosol formation pathways, and the Street-in-Grid model (SinG) that dynamically combines a 3-D Eulerian chemical-transport model (CTM), Polair3D, with MUNICH. There have been increasing numbers of developers and users for MUNICH, SinG, and other similar coupled 3-D CTMs and urban canyon models for street-level air pollution modelling worldwide. Recognising the urgent need for scientific advancement, pollution/exposure assessment, policymaking, and public health protection at urban/local-street scales, we launch this special issue to advance scientific understanding of local-scale atmospheric phenomena and promote research and discussion on state-of-the-science urban/local-street-level air quality model development and application for complex interactions among urban air pollution, climate, and health. The special issue is open for all submissions which address the following themes:

  • 3-D Street-in-Grid (SinG) model development and application;
  • urban canyon/network model development and its incorporation into 3-D CTMs;
  • urban/street-level air quality modelling in support of human exposure assessment;
  • impact of urban traffic emissions on air quality and human health at a street level.

We launched Part II of the special issue on air quality research at street level. For further information, please visit https://www.atmospheric-chemistry-and-physics.net/articles_and_preprints/scheduled_sis.html

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01 Aug 2023
The development and validation of the Inhomogeneous Wind Scheme for Urban Street (IWSUS-v1)
Zhenxin Liu, Yuanhao Chen, Yuhang Wang, Cheng Liu, Shuhua Liu, and Hong Liao
Geosci. Model Dev., 16, 4385–4403, https://doi.org/10.5194/gmd-16-4385-2023,https://doi.org/10.5194/gmd-16-4385-2023, 2023
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21 Apr 2023
Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0
Alvaro Criado, Jan Mateu Armengol, Hervé Petetin, Daniel Rodriguez-Rey, Jaime Benavides, Marc Guevara, Carlos Pérez García-Pando, Albert Soret, and Oriol Jorba
Geosci. Model Dev., 16, 2193–2213, https://doi.org/10.5194/gmd-16-2193-2023,https://doi.org/10.5194/gmd-16-2193-2023, 2023
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26 Jan 2023
Modeling of street-scale pollutant dispersion by coupled simulation of chemical reaction, aerosol dynamics, and CFD
Chao Lin, Yunyi Wang, Ryozo Ooka, Cédric Flageul, Youngseob Kim, Hideki Kikumoto, Zhizhao Wang, and Karine Sartelet
Atmos. Chem. Phys., 23, 1421–1436, https://doi.org/10.5194/acp-23-1421-2023,https://doi.org/10.5194/acp-23-1421-2023, 2023
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15 Dec 2022
Development and application of a multi-scale modeling framework for urban high-resolution NO2 pollution mapping
Zhaofeng Lv, Zhenyu Luo, Fanyuan Deng, Xiaotong Wang, Junchao Zhao, Lucheng Xu, Tingkun He, Yingzhi Zhang, Huan Liu, and Kebin He
Atmos. Chem. Phys., 22, 15685–15702, https://doi.org/10.5194/acp-22-15685-2022,https://doi.org/10.5194/acp-22-15685-2022, 2022
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05 Oct 2022
MUNICH v2.0: a street-network model coupled with SSH-aerosol (v1.2) for multi-pollutant modelling
Youngseob Kim, Lya Lugon, Alice Maison, Thibaud Sarica, Yelva Roustan, Myrto Valari, Yang Zhang, Michel André, and Karine Sartelet
Geosci. Model Dev., 15, 7371–7396, https://doi.org/10.5194/gmd-15-7371-2022,https://doi.org/10.5194/gmd-15-7371-2022, 2022
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20 Jul 2022
Parameterizing the aerodynamic effect of trees in street canyons for the street network model MUNICH using the CFD model Code_Saturne
Alice Maison, Cédric Flageul, Bertrand Carissimo, Yunyi Wang, Andrée Tuzet, and Karine Sartelet
Atmos. Chem. Phys., 22, 9369–9388, https://doi.org/10.5194/acp-22-9369-2022,https://doi.org/10.5194/acp-22-9369-2022, 2022
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17 Feb 2022
Development and application of a street-level meteorology and pollutant tracking system (S-TRACK)
Huan Zhang, Sunling Gong, Lei Zhang, Jingwei Ni, Jianjun He, Yaqiang Wang, Xu Wang, Lixin Shi, Jingyue Mo, Huabing Ke, and Shuhua Lu
Atmos. Chem. Phys., 22, 2221–2236, https://doi.org/10.5194/acp-22-2221-2022,https://doi.org/10.5194/acp-22-2221-2022, 2022
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19 Jan 2022
Downscaling of air pollutants in Europe using uEMEP_v6
Qing Mu, Bruce Rolstad Denby, Eivind Grøtting Wærsted, and Hilde Fagerli
Geosci. Model Dev., 15, 449–465, https://doi.org/10.5194/gmd-15-449-2022,https://doi.org/10.5194/gmd-15-449-2022, 2022
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22 Dec 2021
The drivers and health risks of unexpected surface ozone enhancements over the Sichuan Basin, China, in 2020
Youwen Sun, Hao Yin, Xiao Lu, Justus Notholt, Mathias Palm, Cheng Liu, Yuan Tian, and Bo Zheng
Atmos. Chem. Phys., 21, 18589–18608, https://doi.org/10.5194/acp-21-18589-2021,https://doi.org/10.5194/acp-21-18589-2021, 2021
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23 Nov 2021
Hyperfine-resolution mapping of on-road vehicle emissions with comprehensive traffic monitoring and an intelligent transportation system
Linhui Jiang, Yan Xia, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, and Shaocai Yu
Atmos. Chem. Phys., 21, 16985–17002, https://doi.org/10.5194/acp-21-16985-2021,https://doi.org/10.5194/acp-21-16985-2021, 2021
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18 Nov 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)
Lya Lugon, Jérémy Vigneron, Christophe Debert, Olivier Chrétien, and Karine Sartelet
Geosci. Model Dev., 14, 7001–7019, https://doi.org/10.5194/gmd-14-7001-2021,https://doi.org/10.5194/gmd-14-7001-2021, 2021
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22 Jul 2021
Downscaling system for modeling of atmospheric composition on regional, urban and street scales
Roman Nuterman, Alexander Mahura, Alexander Baklanov, Bjarne Amstrup, and Ashraf Zakey
Atmos. Chem. Phys., 21, 11099–11112, https://doi.org/10.5194/acp-21-11099-2021,https://doi.org/10.5194/acp-21-11099-2021, 2021
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03 Jun 2021
Simulation of O3 and NOx in São Paulo street urban canyons with VEIN (v0.2.2) and MUNICH (v1.0)
Mario Eduardo Gavidia-Calderón, Sergio Ibarra-Espinosa, Youngseob Kim, Yang Zhang, and Maria de Fatima Andrade
Geosci. Model Dev., 14, 3251–3268, https://doi.org/10.5194/gmd-14-3251-2021,https://doi.org/10.5194/gmd-14-3251-2021, 2021
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11 May 2021
Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: impacts of COVID-19 pandemic lockdown
Shibao Wang, Yun Ma, Zhongrui Wang, Lei Wang, Xuguang Chi, Aijun Ding, Mingzhi Yao, Yunpeng Li, Qilin Li, Mengxian Wu, Ling Zhang, Yongle Xiao, and Yanxu Zhang
Atmos. Chem. Phys., 21, 7199–7215, https://doi.org/10.5194/acp-21-7199-2021,https://doi.org/10.5194/acp-21-7199-2021, 2021
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31 Mar 2021
Development and intercity transferability of land-use regression models for predicting ambient PM10, PM2.5, NO2 and O3 concentrations in northern Taiwan
Zhiyuan Li, Kin-Fai Ho, Hsiao-Chi Chuang, and Steve Hung Lam Yim
Atmos. Chem. Phys., 21, 5063–5078, https://doi.org/10.5194/acp-21-5063-2021,https://doi.org/10.5194/acp-21-5063-2021, 2021
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26 Feb 2021
Large-eddy simulation of traffic-related air pollution at a very high resolution in a mega-city: evaluation against mobile sensors and insights for influencing factors
Yanxu Zhang, Xingpei Ye, Shibao Wang, Xiaojing He, Lingyao Dong, Ning Zhang, Haikun Wang, Zhongrui Wang, Yun Ma, Lei Wang, Xuguang Chi, Aijun Ding, Mingzhi Yao, Yunpeng Li, Qilin Li, Ling Zhang, and Yongle Xiao
Atmos. Chem. Phys., 21, 2917–2929, https://doi.org/10.5194/acp-21-2917-2021,https://doi.org/10.5194/acp-21-2917-2021, 2021
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10 Sep 2020
The impact of traffic on air quality in Ireland: insights from the simultaneous kerbside and suburban monitoring of submicron aerosols
Chunshui Lin, Darius Ceburnis, Wei Xu, Eimear Heffernan, Stig Hellebust, John Gallagher, Ru-Jin Huang, Colin O'Dowd, and Jurgita Ovadnevaite
Atmos. Chem. Phys., 20, 10513–10529, https://doi.org/10.5194/acp-20-10513-2020,https://doi.org/10.5194/acp-20-10513-2020, 2020
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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
Lya Lugon, Karine Sartelet, Youngseob Kim, Jérémy Vigneron, and Olivier Chrétien
Atmos. Chem. Phys., 20, 7717–7740, https://doi.org/10.5194/acp-20-7717-2020,https://doi.org/10.5194/acp-20-7717-2020, 2020
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12 Feb 2020
A transition of atmospheric emissions of particles and gases from on-road heavy-duty trucks
Liyuan Zhou, Åsa M. Hallquist, Mattias Hallquist, Christian M. Salvador, Samuel M. Gaita, Åke Sjödin, Martin Jerksjö, Håkan Salberg, Ingvar Wängberg, Johan Mellqvist, Qianyun Liu, Berto P. Lee, and Chak K. Chan
Atmos. Chem. Phys., 20, 1701–1722, https://doi.org/10.5194/acp-20-1701-2020,https://doi.org/10.5194/acp-20-1701-2020, 2020
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03 Jan 2020
Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data
Luolin Wu, Ming Chang, Xuemei Wang, Jian Hang, Jinpu Zhang, Liqing Wu, and Min Shao
Geosci. Model Dev., 13, 23–40, https://doi.org/10.5194/gmd-13-23-2020,https://doi.org/10.5194/gmd-13-23-2020, 2020
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10 Jul 2019
CALIOPE-Urban v1.0: coupling R-LINE with a mesoscale air quality modelling system for urban air quality forecasts over Barcelona city (Spain)
Jaime Benavides, Michelle Snyder, Marc Guevara, Albert Soret, Carlos Pérez García-Pando, Fulvio Amato, Xavier Querol, and Oriol Jorba
Geosci. Model Dev., 12, 2811–2835, https://doi.org/10.5194/gmd-12-2811-2019,https://doi.org/10.5194/gmd-12-2811-2019, 2019
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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)
Youngseob Kim, You Wu, Christian Seigneur, and Yelva Roustan
Geosci. Model Dev., 11, 611–629, https://doi.org/10.5194/gmd-11-611-2018,https://doi.org/10.5194/gmd-11-611-2018, 2018
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