泰兴市2020年冬季典型颗粒物污染过程空间分布特征研究

Spatial Distribution Characteristics of Typical Particulate Pollution Processes in Taixing City in Winter of 2020

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HYSPLIT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PM_(2.5)/PM_(10)比值平均值均大于0.7,说明冬季颗粒物主要是PM_(2.5);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。

This paper aims to provide scientific basis and technical support for the improvement of ambient air quality of Taixing 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 atmospheric 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 PM_(2.5)/PM_(10) in the two inspection periods was greater than 0.7,indicating that the winter particulate matter was mainly consist of PM_(2.5).Winter particulate pollution in Taixing city was affected by both local pollution and external transport,and the source of external transport was mainly imported pollution from neighboring provinces in the northwest of Taixing city and neighboring regions and cities in the province.The increase concentrationof particle at night was related to the increase of moisture absorption and the decrease of wind speed.