泰兴市2020年冬季典型颗粒物污染过程空间分布特征研究.pdf

第47卷第11期 环境科学与管理 Vol. 47 No. 11 2022年11月 ENVIRONMENTA SCIENCE AND MANAGEMENT Nov. 2022 文章编号： 1674-6139(2022)11 -0154 -06 泰兴市2020年冬季典型 颗粒物污染过程空间分布特征研究 叶晓新1 ,邵伟1 ,徐波1 ,钱晨晨$ ,张毅$ (1.泰州市泰兴生态环境监测站，江苏泰兴225400 ；2 .江苏伟斯动科技有限公司，江苏泰兴225400) 摘要:通过了解冬季颗粒物污染的空间分布特征以及演变过程，为泰兴市冬季环境空气质量的改善提供科学 依据和技术支撑 。利用大气颗粒物监测激光雷达，结合颗粒物监测数据、气象数据和HYSPUT气团后向轨迹 模型等，对泰兴市2020年冬季较为典型的颗粒物污染过程进行综合分析 。结果表明：两个监测时间段中的 PM2S/PM10比值平均值均大于0.7,说明冬季颗粒物主要是PM? 』；泰兴市冬季颗粒物污■染受到本地污染和外来 传输共同影响，外来传输的来源主要为本市西北方周边省份以及省内周边区市的输入性污染;夜间颗粒物浓度 上升与吸湿增长和风速降低等气象条件有关。 关键词:颗粒物；污染过程;激光雷达;泰兴市;冬季 中图分类号：X831 文献标志码:B Spatial Distribution Characteristics of Typical Particulate Pollution Processes in Taixing City in Winter of 2020 Ye Xiaoxin1, Shao Wei1, Xu Bo1, Qian Chenchen2, Zhang Yi2 (1. Taixing Environmental Monitoring Station, Taixing 225400, China; 2. JiangsuWisdom Science Technology Co. , Ltd. , Taixing 225400, China) Abstract: This paper aims to provide scientific basis and technical support for the improvement of ambient air quality of Taix­ ing city in winter through understanding the spatial distribution characteristics and evolution process of particulate pollution. The typical particulate matter pollution process of Taixing city in the winter of 2020 was comprehensively analyzed by means of atmos­ pheric particulate matter monitoring lidar combined with particulate matter monitoring data, meteorological data and HYSPLIT backward trajectory model. The result showed that the average ratio of PM2 5/PM10 in the two inspection periods was greater than 0. 7, indicating that the winter par