摘要
本文通过国控自动监测站点监测数据及激光雷达探测技术,分析了乌鲁木齐市2020年1月5—15日重污染过程的垂直分布、空间分布情况和重污染成因,为乌鲁木齐市重污染天气的预警预报及大气污染物传输的联防联控提供支撑。结果表明,此次持续性重污染观测时段内超过50%的时段达到重度及以上污染级别,除位于乌鲁木齐市南部的乌鲁木齐县和达坂城区的空气质量较好外,其余6个区的空气污染都较为严重。本次污染过程是一次典型的区域污染累积和传输过程,并且持续时间较长,其形成与高湿静稳、逆温强、边界层低等不利气象扩散条件有关。
This paper analyzes the vertical distribution,spatial distribution and causes of heavy pollution in Urumqi during January 5-15 through monitoring data from state-controlled automatic monitoring stations and Lidar detection technology,which provides the support for the forecast and early warning of heavy pollution weather and joint prevention and control of air pollutant transmission in Urumqi.The results show that more than 50%of the time reached heavy and above pollution level during this persistent heavy pollution observation time.In addition to the better air quality of Urumqi County and Darban City located in the southern Urumqi,the air pollution is serious of remaining six districts.This pollution process,lasting for a long time,is a typical regional pollution accumulation and transmission process,and its formation is related to unfavorable meteorological diffusion conditions,such as high humidity and static,strong inverse temperature and low boundary layer.
作者
白姗姗
纪元
邓婉月
叶儿纳尔•胡马尔汗
杨焕明
阿依古丽•托来干
任重远
BAI Shan-shan;JI Yuan;DENG Wan-yue;Yernar Humaerhan;YANG Huan-ming;Ayiguli Tuolaigan;REN Zhong-yuan(Ecological Environment Monitoring Station of Xinjiang Uygur Autonomous Region,Urumqi Xinjiang 830011,China)
出处
《干旱环境监测》
2022年第4期186-190,共5页
Arid Environmental Monitoring
