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<p>This study explores the spatial and temporal dynamics of key atmospheric pollutants in Tehran Province, Iran, including carbon monoxide (CO), nitrogen dioxide (NO₂), and ozone (O₃), about climatic variables like temperature, rainfall, and specific humidity from 2019 to 2022. Utilizing data from Sentinel-5P and NASA’s Giovanni platform, the SARIMAX model was employed to predict pollutant trends in 2023. Results show that CO and NO₂ concentrations peak during colder months, especially in industrial and densely populated areas like Tehran, while O₃ levels rise during the warmer months in cities such as Shahryar. These findings highlight the influence of temperature inversions and industrial emissions on pollution dynamics. Furthermore, the study suggests a range of strategies for air pollution reduction, including the modernization of public transportation systems, stricter industrial regulations, and the promotion of electric and hybrid vehicles. The integration of real-time meteorological data into pollution management policies is proposed as a key element in reducing pollutant levels, particularly in high-risk areas. The research concludes by recommending a governance framework for sustainable air quality management, which includes public engagement, advanced technology adoption, and inter-agency collaboration to address the growing environmental challenges in Tehran Province.</p>

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Development of Air Pollution Mitigation Strategies in Tehran Using Spatiotemporal Analysis and Climate Factor Prediction Models

  • 期刊论文

  • 发表日期：

    2025年12月2日

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  • Faezeh Borhani,
  • Seyed Mohsen Mousavi,
  • Amir Houshang Ehsani,
  • Saman Yousefvand

摘要

This study explores the spatial and temporal dynamics of key atmospheric pollutants in Tehran Province, Iran, including carbon monoxide (CO), nitrogen dioxide (NO₂), and ozone (O₃), about climatic variables like temperature, rainfall, and specific humidity from 2019 to 2022. Utilizing data from Sentinel-5P and NASA’s Giovanni platform, the SARIMAX model was employed to predict pollutant trends in 2023. Results show that CO and NO₂ concentrations peak during colder months, especially in industrial and densely populated areas like Tehran, while O₃ levels rise during the warmer months in cities such as Shahryar. These findings highlight the influence of temperature inversions and industrial emissions on pollution dynamics. Furthermore, the study suggests a range of strategies for air pollution reduction, including the modernization of public transportation systems, stricter industrial regulations, and the promotion of electric and hybrid vehicles. The integration of real-time meteorological data into pollution management policies is proposed as a key element in reducing pollutant levels, particularly in high-risk areas. The research concludes by recommending a governance framework for sustainable air quality management, which includes public engagement, advanced technology adoption, and inter-agency collaboration to address the growing environmental challenges in Tehran Province.