Application of a Modeling Framework to Mitigate Ozone Pollution in Changzhou, Yangtze River Delta Region

Zhihui Kong, Chuchu Chen, Jiong Fang, Ling Huang (), Hui Chen, Jiani Tan, Yangjun Wang, Li Li and Miao Ning ()
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Zhihui Kong: School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
Chuchu Chen: Chinese Academy of Environmental Planning, Beijing 100012, China
Jiong Fang: School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
Ling Huang: School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
Hui Chen: School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
Jiani Tan: School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
Yangjun Wang: School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
Li Li: School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
Miao Ning: Chinese Academy of Environmental Planning, Beijing 100012, China

Sustainability, 2025, vol. 17, issue 16, 1-27

Abstract: Ozone pollution in densely populated urban regions poses a great threat to public health, due to the intensive anthropogenic emissions of ozone precursors and is further aggravated by global warming and the urban heat island phenomenon. Air quality models have been utilized to formulate and evaluate air pollution control strategies. This study presents a comprehensive modeling assessment of ozone mitigation strategies during an ozone pollution episode in Changzhou, an industrial city in the Yangtze River Delta region. Utilizing the Community Multiscale Air Quality Modeling System (CMAQ), we quantified the contribution of ozone from different emission sectors and counties within Changzhou using the integrated source apportionment method (ISAM). During the pollution period, local emissions within Changzhou account for an average of 41.5% of MDA8 ozone, with particularly notable contributions from Jingkai (11.2%), Wujin (9.5%), and Liyang (7.8%). Upon these findings, we evaluated three sets of emission reduction scenarios: uniform, sector-specific, and county-specific reductions. Results show that industry and transportation are responsible for over 20% of ozone concentrations, and targeted reductions in these sources yielded the most significant decreases in ozone levels. Notably, reducing industrial emissions alone decreased ozone concentrations by 3.2 μg m −3 during the pollution episode. County-specific reductions revealed the importance of targeted strategies, with certain counties showing more pronounced responses to emission controls. On a daily basis, emission reductions in Xinbei contributed to a maximum ozone decrease of 4.4 μg m −3 . This study provides valuable insights into the efficacy of different mitigation measures in Changzhou and offers a practical and useful framework for policymakers to implement strategies while addressing the complexities of urban air quality management.

Keywords: Changzhou; mitigation strategies; CMAQ; source apportionment (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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