摘要
为了解阿克苏市春季大气颗粒物传输路径及潜在源区,选取阿克苏市2020年3~5月份PM_(10)和PM_(2.5)质量浓度和气象要素的在线监测数据,对PM_(10)和PM_(2.5)污染特征进行分析。利用后向轨迹聚类、潜在源贡献因子(PSCF)和浓度权重轨迹(CWT)等分析方法,分析阿克苏市春季潜在来源及不同源区对大气颗粒物质量浓度的贡献。结果表明,2020年阿克苏市春季PM_(10)和PM_(2.5)的平均浓度分别为406.74μg/m^(3)和101.78μg/m^(3),春季PM_(10)浓度超标问题较突出。经气团轨迹聚类分析,阿克苏市春季大气传输路径主要以东南方向和西南方向的轨迹为主,来自东部的轨迹占比虽少,但对应的颗粒物浓度较高;阿克苏市春季大气颗粒物的潜在源区主要分布在阿克苏南部和巴音郭楞地区,其中高浓度贡献潜在源区主要集中在巴音郭楞北部地区。偏东方向的颗粒物传输对阿克苏市春季PM_(10)和PM_(2.5)影响更为显著,该研究可为确定阿克苏市颗粒物污染潜在贡献源区以及区域联防联控提供参考。
In order to understand the transmission paths and potential pollution source areas of atmospheric particles in Aksu city in spring,the online monitoring data of PM_(10)and PM2. 5mass concentrations and meteorological elements in Aksu city from March to May in 2020 were selected to analyze the pollution? characteristics of PM_(10)and PM2. 5. The Potential source areas and the contribution of different source areas to the concentration of atmospheric particulate matter in Aksu city in spring were analyzed by means of backward trajectory clustering,potential source contribution factor( PSCF) and concentration weight trajectory( CWT). The result showed that the average concentrations of PM_(10)and PM2. 5in Aksu city in spring in 2020 were406. 74 μg/m^(3) and 101. 78 μg/m^(3),respectively,the concentration of PM_(10)seriously exceeded the standard. According to the cluster analysis of air mass trajectories,the atmospheric transmission path is mainly in the southeast direction and southwest direction during spring in Aksu city,although the trajectory from the east accounted for a small proportion,the corresponding particle concentration was higher. The potential sources of spring atmospheric particles in Aksu city are mainly distributed in the south of Aksu and Bayinguoleng area,and the potential source area of high concentration contribution is mainly concentrated in the northern area of Bayinguoleng. The influence of particles of PM_(10)and PM2. 5transport in the east direction is more significant in Aksu city during spring. This study can provide a reference for determining the potential source area of particulate pollution in Aksu City and the regional joint prevention and control.
作者
杨红
谢海燕
鲍昱璇
张凯欢
李新琪
YANG Hong;XIE Hai-yan;BAO Yu-xuan;ZHANG Kai-huan;Li Xin-qi(College of Grassland and ErwiroTuneTital Science,Xinjiang Agricultural University,Urumqi 830052,China;Xinjiang Environmental Monitoring Station,Urumqi 830052,China)
出处
《四川环境》
2022年第3期71-78,共8页
Sichuan Environment
基金
新疆维吾尔自治区自然科学基金项目(2019D01A37)。
关键词
阿克苏
大气颗粒物
后向轨迹潜在源分析
浓度权重分析
Aksu
particulate matter
backward trajectory potential source analysis
concentration-weighted trajectory