结合激光雷达分析2014年春季南京地区一次大气污染过程  

Analysis of an Air Pollution Process Using LiDAR in Nanjing,Spring of 2014

作　　者：包青[1,2] 贺军亮[3] 查勇[1,2] 程峰[1,2] 李倩楠[1,2] 

机构地区：[1]南京师范大学地理科学学院虚拟地理环境教育部重点实验室,南京210023 [2]江苏省地理信息资源开发与利用协同创新中心,南京210023 [3]石家庄学院资源与环境科学学院,石家庄050035

出　　处：《环境科学》2015年第4期1187-1194,共8页Environmental Science

基　　金：国家重大科学研究计划项目(2014CB953802);河北省教育厅科研项目(Z2014090);江苏高校优势学科建设工程项目

摘　　要：利用环境监测数据、气象数据以及数值模拟结果,结合激光雷达数据反演的气溶胶消光系数,分析了2014年5月26日至6月1日南京地区一次典型的大气污染过程.本次污染过程受到外源性沙尘和烟尘输入以及本地污染排放叠加影响.气象因素对污染物的生消起到了重要作用,低压、逆温等因素阻碍污染物扩散,最终强降雨的出现使本次污染过程终结.整个污染过程中大气边界层高度偏低且变化不大,大气形势稳定,污染物扩散困难.激光雷达可以有效探测气溶胶的垂直分层结构,能直观准确地反映出污染物的分布聚集情况以及时空变化,对大气污染监测具有重要意义.Based on environmental monitoring data, meteorological data and the results of numerical simulation, a typical air pollution process in Nanjing, from 26th May to 1st June, 2014 was deeply analyzed combining aerosol extinction coefficient derived from LiDAR system. Experimental results showed that the entire pollution process was affected by both local pollution and exogenous inputs including dust and smoke. Meteorological factors played a significant role in the generation and elimination of pollutants. Low pressure and temperature inversion also hindered the diffusion of pollutants, while strong rainfall terminated the pollution process. During the pollution, the height of atmospheric boundary layer was lower than normal situation and changed little during the pollution period, which provided a poor diffusion condition for pollutants. LiDAR could accurately detect aerosol vertical structure which was able to capture the temporal and spatial variation of pollutant distributions. Therefore, LiDAR can be of great significance for the atmospheric pollution monitoring.

关 键 词：激光雷达 大气污染 消光系数 沙尘 颗粒物 

分 类 号：X51[环境科学与工程—环境工程]