伊宁市冬季PM_(2.5)输送特征及污染源地分析  

Transport characteristics and pollution sources of PM_(2.5) in Yining City in winter

作　　者：张乐乐 孙慧兰[1] 杨余辉[1] 卢宝宝 刘天弋 兰小丽 曹丽君 ZHANG Lele;SUN Huilan;YANG Yuhui;LU Baobao;LIU Tianyi;LAN Xiaoli;Cao Lijun(College of Geography Science and Tourism,Xinjiang Key Normal University,Xinjiang Key Laboratory of Lake Environment and Resources in Arid Zone,Urumqi 830054,China)

机构地区：[1]新疆师范大学地理科学与旅游学院,新疆干旱区湖泊环境与资源自治区重点实验室,新疆乌鲁木齐830054

出　　处：《大气与环境光学学报》2022年第3期294-303,共10页Journal of Atmospheric and Environmental Optics

基　　金：国家自然科学基金项目,41761004。

摘　　要：利用全球数据同化系统(GDAS)气象资料和生态环境部环境监测总站的PM_(2.5)浓度数据,使用MeteoInfo软件和TrajStat插件的聚类方法和聚类统计对2018年12月–2019年1月到达伊宁市主城区的气流轨迹进行了聚类分析,运用潜在源贡献(PSCF)及浓度权重轨迹(CWT)分析了伊宁市主城区PM_(2.5)潜在源贡献率(WPSCF)和轨迹权重浓度(WCWT)。结果显示:a)轨迹聚类分析表明该区受西南气团影响最大,主要来自哈萨克斯坦和吉尔吉斯斯坦;b)WPSCF和WCWT分布特征类似,重度污染源区WPSCF最高在0.7∼0.8以上,WCWT最高值在80∼110μg·m^(−3),潜在源主要集中在昭苏-特克斯盆地。Based on the meteorological data of Global Data Assimilation System(GDAS)and PM_(2.5) concentration data from the China National Environmental Monitoring Station of the Ministry of Ecology and Environment,using MeteoInfo and TrajStat plug-in,a cluster analysis on the airflow trajectory reaching the main urban area of Yining City,China,from December 2018 to January 2019 was carried out,and then the weighted potential source contribution probability(WPSCF)and the weighted concentration weight trajectory(WCWT)of PM_(2.5) in the main urban area of Yining City was analyzed by using potential source contribution function(PSCF)analysis and concentration weighted trajectory model(CWT)analysis.The results show that:a)Trajectory clustering shows that the region is most affected by the southwest air mass,mainly from Kazakhstan and Kyrgyzstan.b)The WPSCF and WCWT distribution feature are similar,and the highest WPSCF and WCWT in the heavily polluted source area are above 0.7∼0.8 and 80∼110μg·m^(−3) respectively,which are mainly concentrated in Zhaosu-Tekes Basin.

关 键 词：PM_(2.5) 伊宁 潜在源贡献 浓度权重轨迹 

分 类 号：X513[环境科学与工程—环境工程]