• 关键词：污染特征  后向轨迹模型  聚类分析  潜在源贡献因子(PSCF)  浓度权重轨迹(CWT)  绥化

• 基金项目：城市水资源与水环境国家重点实验室探索课题（No.2016TS08）

• 李莉莉
• 1. 哈尔滨工业大学城市水资源与水环境国家重点实验室, 哈尔滨 150090;2. 哈尔滨工业大学环境学院, 哈尔滨 150090

• 朱莉娜
• 1. 哈尔滨工业大学城市水资源与水环境国家重点实验室, 哈尔滨 150090;2. 哈尔滨工业大学环境学院, 哈尔滨 150090

• 闫耀宗
• 1. 哈尔滨工业大学城市水资源与水环境国家重点实验室, 哈尔滨 150090;2. 哈尔滨工业大学环境学院, 哈尔滨 150090

• 王琨
• 1. 哈尔滨工业大学城市水资源与水环境国家重点实验室, 哈尔滨 150090;2. 哈尔滨工业大学环境学院, 哈尔滨 150090

• 王维业
• 1. 哈尔滨工业大学城市水资源与水环境国家重点实验室, 哈尔滨 150090;2. 哈尔滨工业大学环境学院, 哈尔滨 150090

• 姜珺秋
• 1. 哈尔滨工业大学城市水资源与水环境国家重点实验室, 哈尔滨 150090;2. 哈尔滨工业大学环境学院, 哈尔滨 150090

• 摘要：本研究以2019年12月21—25日绥化市一次严重的空气污染事件为研究对象，分析了此次污染概况、气象条件、污染成因以及污染的潜在源区.结果表明：此次污染期间，绥化市以PM_2.5污染为主，污染特征由21日10：00及22日11：00的偏燃煤污染型转变为24日15：00的偏二次颗粒物污染型，最终25日12：00污染特征又转变为偏燃煤型，本次污染主要以燃煤、机动车尾气和二次无机源为主；不利的气象条件主要由于弱风、高湿及低温、较差的扩散条件导致污染物局地积累；48 h后向轨迹模拟表明污染期间绥化市受4类气流输送的影响，主要来源于俄罗斯、内蒙古、吉林等方向，其中超标轨迹占97.4%；WPSCF分析发现潜在源区主要集中在绥化本地中部、辽宁省东北部、大庆市中部、齐齐哈尔市东南部、哈尔滨市中部区域；WCWT模拟出的潜在源区域较WPSCF大，模拟发现吉林北部对绥化PM_2.5污染贡献值为60~80 μg·m^-3，黑河东北部的贡献值高达100 μg·m^-3以上，俄罗斯、内蒙古地区对绥化市大气PM_2.5污染水平的影响及贡献较小.

• Abstract：This study took a severe air pollution event in Suihua City from December 21st to 25th, 2019 as the research object, and analyzed the pollution profile, meteorological conditions, pollution causes, and potential source areas of pollution. The results showed that during this pollution period, Suihua City was dominated by PM_2.5 pollution, and the pollution characteristics changed from the partial combustion coal pollution type at 10:00 on the 21st and 11:00 on the 22nd to the partial secondary particulate pollution type at 15:00 on the 24th. Finally, the pollution characteristics at 12:00 on the 25th changed to partial coal combustion. This pollution was mainly caused by coal combustion, motor vehicle exhaust, and secondary inorganic sources; unfavorable weather conditions were mainly due to weak winds, high humidity, and low temperatures. The local diffusion of pollutants caused local accumulation of pollutants; 48 h backward trajectory simulation showed that Suihua was affected by 4 types of airflow during the pollution period, mainly from Russia, Inner Mongolia, Jilin and other directions, of which 97.4% exceeded the standard trajectory; WPSCF analysis found that the potential source areas were mainly concentrated in the central area of Suihua, northeast of Liaoning Province, central area of Daqing, southeast of Qiqihar City, and central area of Harbin; The potential source area simulated by WCWT was larger than that of WPSCF. The contribution value of PM_2.5 pollution was 60~80 μg·m^-3, and the contribution value of the northeast of Heihe River was more than 100 μg·m^-3. The impact of Russia and Inner Mongolia on the PM_2.5 pollution level in Suihua City and was a smaller contribution.

• Key words：pollution characteristics  backward trajectory model  cluster analysis  potential source contribution factor (PSCF)  concentration weight trajectory (CWT)  Suihua

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