研究报告

  • 程先富,周志凌,蔡菁菁.基于模式模拟的苏皖鲁豫交界区典型月份PM2.5来源解析[J].环境科学学报,2023,43(2):365-375

  • 基于模式模拟的苏皖鲁豫交界区典型月份PM2.5来源解析
  • Source analysis of PM2.5 in typical months in the border area of Jiangsu, Anhui, Shandong and Henan based on model simulation
  • 基金项目:国家自然科学基金(No.41271516)
  • 作者
  • 单位
  • 程先富
  • 安徽师范大学地理与旅游学院,芜湖 241002
  • 周志凌
  • 安徽师范大学地理与旅游学院,芜湖 241002;南京市宁海中学,南京 210024
  • 蔡菁菁
  • 安徽师范大学地理与旅游学院,芜湖 241002
  • 摘要:基于WRF-Chem模式模拟分析了2019 年1月、7月苏皖鲁豫交界区本地排放对PM2.5污染水平的贡献以及不同污染源对PM2.5浓度和化学组分的贡献.结果表明:WRF-Chem模式合理地模拟了研究时段内苏皖鲁豫交界区PM2.5的空间分布特征,PM2.5的化学组分中冬季NO3-含量 最高,夏季SO42-含量最高.在不同的污染源中,民用源是冬季苏皖鲁豫交界区PM2.5最主要的来源,贡献约为35.87%,农业源和工业源对PM2.5的贡献分别为28.71%、22.17%;工业源是夏季苏皖鲁豫交界区PM2.5最主要的来源,贡献达到50.57%,电力源、农业源和民用源的贡献分别为18.05%、15.14%和12.22%.从各污染源对PM2.5污染贡献量的小时变化上看,工业源和民用源对冬季PM2.5贡献量呈现明显的双峰双谷变化 特点,其它污染源对PM2.5贡献量的小时变化特征都不明显.冬季应通过控制民用源和工业源的排放来减轻苏皖鲁豫交界区PM2.5污染,夏季应通过控制工业源和农业源的排放来减轻PM2.5污染.
  • Abstract:Based on WRF-Chem model, the contribution of local emissions to PM2.5 pollution level and the contribution of different pollution sources to PM2.5 concentration and chemical components in the border area of Jiangsu, Anhui, Shandong and Henan in January and July 2019 were analyzed. WRF-chem model reasonably simulated the spatial distribution characteristics of PM2.5 in the border area of Jiangsu, Anhui, Shandong and Henan during the study period. The results show that: In the border area of Jiangsu, Anhui, Shandong and Henan, the content of NO3- is the highest in winter. The content of SO42- is the highest in summer. Among the different pollution sources, civil sources are the most important source of PM2.5 in the border area of Jiangsu, Anhui, Shandong and Henan in winter, with a contribution of about 35.87%, and the contributions of agricultural and industrial sources to PM2.5 are 28.71% and 22.17% respectively. Industrial sources are the most important source of PM2.5 in the border area of Jiangsu, Anhui, Shandong and Henan in summer, with a contribution of 50.57%. The contributions of power sources, agricultural sources and civil sources are 18.05%, 15.14% and 12.22% respectively. In terms of the hourly variation of PM2.5 pollution contribution from various pollution sources, the contribution of industrial sources and civil sources to PM2.5 in winter presents obvious double-peak and double-valley variation characteristics, and the hourly variation characteristics of PM2.5 contribution from other pollution sources are not obvious. In winter, PM2.5 pollution in the border area of Jiangsu, Anhui, Shandong and Henan should be reduced by controlling emissions from civil and industrial sources, and in summer, PM2.5 pollution should be reduced by controlling emissions from industrial and agricultural sources.

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