激光雷达在城市交通污染中应用研究

董云升; 刘文清; 刘建国; 陆亦怀; 韩道文; 张天舒; 赵雪松; 黄书华

doi:doi:10.3788/aos20103002.0315

光学学报, 2010, 30 (2): 315, 网络出版: 2010-02-02

激光雷达在城市交通污染中应用研究

Application Study of Lidar in Urban Traffic Pollution

论文大纲

董云升 ^*刘文清刘建国陆亦怀韩道文张天舒赵雪松黄书华

作者单位

中国科学院安徽光学精密机械研究所,安徽合肥 230031

激光雷达大气气溶胶大气颗粒物机动车排放颗粒物质量浓度 lidar atmospheric aerosol particulate mass vehicle emission particulate mass concentration

摘要

机动车排放造成的城市空气污染是目前亟待解决的问题之一。为了分析机动车排放对北京市大气污染的影响,于2007年8月在北京市健翔桥附近利用米氏(Mie)散射激光雷达,对交通排放的颗粒物进行了长时间连续立体监测。实验选取2007年8月16日至21日机动车限行前后的典型数据进行分析,对激光雷达系统及其数据处理方法进行讨论,反演了近地面层颗粒物质量浓度,与车流量和黑炭浓度进行了比对分析。把机动车限行期间与限车前后的观测数据分析比较,发现颗粒物质量浓度与车流量具有很好的相关性,限车期间颗粒物质量浓度总体上呈现下降趋势,证明了机动车限行减排是一项减轻城市大气污染的有效措施。

Abstract

At present,one of the urgent problems need to solve is the motor vehicle causes to urban air pollution. In order to analyse the effect of the motor vehicle contribute to the urban air pollution of Beijing,the particulate mass characteristic over Jianxiang bridge was monitored continually with lidar in August of 2007. The representative data which was monitored during Beijing to rehearse olympics traffic control was discussed. The system structure and technical parameters of Mie lidar were presented and the data-processing method was discussed,the particulate mass concentration was retrieved. The particulate mass concentrations with the traffic volume were compared and black carbon (BC) concentrations which were measured in the similar meteorologic condition during traffic uncontrolled. The results indicated that the particulate mass concentration was falling,and there was a good correlation between the particulate mass concentrations and the traffic volume. All these proved that the program of traffic controlled improved the quality of the city air.

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董云升, 刘文清, 刘建国, 陆亦怀, 韩道文, 张天舒, 赵雪松, 黄书华. 激光雷达在城市交通污染中应用研究[J]. 光学学报, 2010, 30(2): 315. Dong Yunsheng, Liu Wenqing, Liu Jianguo, Lu Yihuai, Han Daowen, Zhang Tianshu, Zhao Xuesong, Huang Shuhua. Application Study of Lidar in Urban Traffic Pollution[J]. Acta Optica Sinica, 2010, 30(2): 315.

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