Xu Liu , Pulong Chen , Congwu Huang , Tijian Wang , Tao Niu , Mengmeng Li , Rong Li , Hao Wu , Yawei Qu
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引用次数: 0
Abstract
Dazhou, as one of the key construction cities in the Sichuan-Chongqing economic belt, has experienced accelerated economic development, accompanied by a dense population, extensive infrastructure construction, and rapid industrial growth. Consequently, air pollution has become increasingly severe, with the mass concentration of NO2, a primary pollutant, being a significant constraint on air quality management in the city. This study utilizes the WRF-CMAQ (Weather Research and Forecasting Model-Community Multi-scale Air Quality) model to quantitatively analyze the main sector sources of NO2 in Dazhou during different seasons in 2022. The findings reveal that industrial sources contribute the most to NO2 pollution in spring and winter, while transportation sources dominate in autumn. Additionally, the correlation between PM2.5, O3, and NO2 concentrations, which exhibit significant seasonal variations, was examined. Notably, in summer, a negative correlation between O3 and NO2 concentrations was observed, while a positive correlation between PM2.5 and NO2 concentrations was evident in winter. Furthermore, the correlation between NO2, O3 and PM2.5 concentrations across different sectors was analyzed using ISAM (The Integrated Source Apportionment Method). In spring, the energy sources of NO2 and the transportation sources of O3 are significantly negatively correlated, with a correlation coefficient of −0.94. Additionally, the residential sources of NO2 are significantly positively correlated with the transportation sources of PM2.5, with a correlation coefficient of 0.96. In autumn, the energy sources of NO2 exhibit the most significant correlations with the industrial sources of O3 and the transportation sources of NO2 and PM2.5. In winter, the correlations among various sectors for O3 pollution are not significant, with correlation coefficients ranging from 0.02 to 0.63. The highest correlation is observed between the industrial sources of NO2 and the residential sources of PM2.5, reaching 0.98. This study analyzed the main source sectors of NO2 in Dazhou City and the correlation with the source sectors of O3 and PM2.5 by using the CMAQ-ISAM source apportionment method, revealing the importance of seasonal cooperation in air pollution control in Dazhou and emphasizing its significance for long-term pollution management.
期刊介绍:
Atmospheric Pollution Research (APR) is an international journal designed for the publication of articles on air pollution. Papers should present novel experimental results, theory and modeling of air pollution on local, regional, or global scales. Areas covered are research on inorganic, organic, and persistent organic air pollutants, air quality monitoring, air quality management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health effects, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and effects on climate change.