Dispersion and Mitigation of Atmospheric Pollutants

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Pollution Control".

Deadline for manuscript submissions: 30 May 2025 | Viewed by 1334

Special Issue Editors


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Guest Editor
School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Interests: thermurban ventilation and urban pollution; carbon neutralization technology; solar energy utilization
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Guest Editor
Tour-Solaire.Fr, 8 Impasse des Papillons, F34090 Montpellier, France
Interests: negative emissions; unusual renewable energies; climate engineering; solar energy

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Guest Editor
School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: urban and regional spatial planning; sustainable urban planning and design; artificial intelligence and urban planning

Special Issue Information

Dear Colleagues,

The dispersion and mitigation of atmospheric pollutants in urban environments is a pressing challenge as cities grow and air quality continues to deteriorate. Urban structures such as dense building layouts and limited ventilation, combined with localized thermal effects, contribute to the accumulation of harmful pollutants. Understanding the mechanisms of pollutant dispersion and developing effective mitigation strategies are crucial for improving public health and environmental sustainability.

This Special Issue seeks to gather innovative research focused on the dispersion mechanisms of atmospheric pollutants and explore advanced mitigation strategies to improve urban air quality. We encourage contributions that utilize experimental, modeling, or numerical approaches to advance knowledge in this field and provide practical, real-world solutions. We aim to create a comprehensive platform for researchers and practitioners to exchange insights and discoveries, fostering a deeper understanding of the dispersion and mitigation of atmospheric pollutants.

We welcome interdisciplinary contributions from fields such as environmental science, engineering, urban planning, public health, and more, addressing the complex interactions between urban design, meteorological factors, and pollutant dispersion.

Key areas of interest include the following:

  • Pollutant dispersion mechanisms in urban street canyons;
  • Wind–heat–pollution coupling and its effects on pollutant dispersion;
  • Urban design innovations for improving ventilation, mitigating urban heat islands, and removing pollution;
  • Impact of urban blue–green spaces (water bodies and greenery) on pollution dispersion.

Prof. Dr. Tingzhen Ming
Dr. Renaud K. De Richter
Prof. Dr. Chong Peng
Guest Editors

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Keywords

  • urban pollutant dispersion
  • street canyon
  • urban heat island (UHI)
  • atmospheric pollutant mitigation
  • ventilation strategies
  • green infrastructure

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Published Papers (2 papers)

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Research

30 pages, 32662 KiB  
Article
Air Pollution Trends and Predictive Modeling for Three Cities with Different Characteristics Using Sentinel-5 Satellite Data and Deep Learning
by Salma Alkayal, Hind Almisbahi, Souad Baowidan and Entisar Alkayal
Atmosphere 2025, 16(2), 211; https://doi.org/10.3390/atmos16020211 - 13 Feb 2025
Viewed by 542
Abstract
Accurate air quality forecasting is important in pollution prevention and risk reduction. Effective short-term and long-term forecasting models are needed. This study investigated the need for a new model to forecast air pollution concentrations in three cities with distinct characteristics: a city with [...] Read more.
Accurate air quality forecasting is important in pollution prevention and risk reduction. Effective short-term and long-term forecasting models are needed. This study investigated the need for a new model to forecast air pollution concentrations in three cities with distinct characteristics: a city with high industrial activity, a city with a high population density and urbanization, and an agricultural city. The air pollution data were collected using the Sentinel-5P satellite and Google Earth Engine to apply descriptive analysis and comparison of two years, 2022 and 2023. The studied cities were Al Riyadh (high population), Al Jubail (industrial), and Najran (agricultural) in Saudi Arabia. The selected pollutants were SO2, NO2, CO, O3, and HCHO. In addition, this study investigated the variations observed in all the pollutants during the months of the year, the correlations between the contaminants, and the correlation between NO2 and the meteorological data. Based on our findings, Al Jubail had the highest level of all the pollutants during the two years, except for NO2, for which the highest level was observed in Al Riyadh, which has witnessed notable urbanization and development recently. Moreover, this study developed a forecasting model for the concentration of NO2 based on weather data and the previous values of NO2 using Long Short-Term Memory (LSTM) and Time2Vec. The modeling proved that any model that is trained on data collected from a specific city is not suitable for predicting the pollution level in another city and the level of another pollutant, as the three cities have different correlations with the pollutants and the weather data. The proposed model demonstrated a superior accuracy in predicting NO2 concentrations compared to traditional LSTM models, effectively capturing temporal patterns and achieving minimal prediction errors, which contributes to ongoing efforts to understand the dynamics of air pollution based on cities’ characteristics and the period of the year. Full article
(This article belongs to the Special Issue Dispersion and Mitigation of Atmospheric Pollutants)
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22 pages, 11825 KiB  
Article
Effect of Blue–Green Infrastructure in Mitigating Microenvironmental Heat Islands: Field- and Simulation-Based Insights
by Tingzhen Ming, Yiwei Hu, Tianhao Shi, Yuewen Li, Shanjiang Hu, Di Yang, Bing Lv, Chong Peng and Yanhua Chen
Atmosphere 2025, 16(2), 134; https://doi.org/10.3390/atmos16020134 - 27 Jan 2025
Viewed by 569
Abstract
Urban heat island (UHI) effects, intensified by urbanization and environmental changes, are critical challenges to urban thermal comfort and sustainability. This study investigates the combined role of water bodies and vegetation in mitigating microclimatic heat island effects within a campus area, focusing on [...] Read more.
Urban heat island (UHI) effects, intensified by urbanization and environmental changes, are critical challenges to urban thermal comfort and sustainability. This study investigates the combined role of water bodies and vegetation in mitigating microclimatic heat island effects within a campus area, focusing on their cooling impacts and interactions. Using field measurements and numerical simulations, the research evaluates the cooling effects and wind flow modifications induced by greenery and water bodies in the surrounding environment. The findings demonstrate that both vegetation and water bodies provide a significant cooling effect, reducing temperatures by 0–6 K in downstream regions, with the impact being more pronounced closer to the blue–green spaces. Furthermore, the combined application of water bodies and vegetation offers enhanced cooling effects; however, their influence on the thermal environment exhibits a nonlinear relationship. These results underscore the importance of strategic blue–green infrastructure planning in mitigating UHI effects and optimizing urban thermal environments. Full article
(This article belongs to the Special Issue Dispersion and Mitigation of Atmospheric Pollutants)
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