红外与激光工程, 2020, 49 (S2): 20200324, 网络出版: 2021-02-05  

基于激光雷达的区域大气颗粒物探测

Detection of regional atmospheric particulate matter based on lidar
作者单位
山东师范大学 物理与电子科学学院 山东省光处理工程技术中心 山东省光学与光子器件重点实验室,山东 济南 250014
摘要
气溶胶已被确定为辐射强迫评估中的不确定因素之一。激光雷达是气溶胶观测的有效遥感工具。利用车载激光雷达,采用固定垂直探测与移动走航监测相结合的探测方式,对安平县的颗粒物浓度进行了连续探测。固定探测结果与环保部空气质量先上升后下降的趋势一致。移动导航探测能够快速、准确地定位污染源的位置。最后,通过对比喷撒抑尘剂前后的走航监测结果,得出喷撒抑尘剂可以有效降低颗粒物浓度。
Abstract
Aerosols have been identified as one of the uncertainties in the evaluation of radiative forcing. Lidar is effective remote sensing tool for aerosols observation. The vehicle-mounted lidar was used to continuously observe the particle concentration in Anping County by combining fixed vertical detection and mobile navigation monitoring. The results of fixed detection are in line with the trend of air quality rising first and then falling in accordance with the trend of the Ministry of Environmental Protection. Mobile navigation detection can quickly and accurately locate the location of the pollution source. Finally, the results of navigation monitoring before and after spraying the dust suppressant are compared, and it is concluded that spraying the dust suppressant can effectively reduce the concentration of particulate matter.

赵曰峰, 高静, 潘杰, 王旭, 张玉容, 李辉, 王艳琪, 段孟君, 岳伟伟, 蔡阳健, 许化强, 王晶晶. 基于激光雷达的区域大气颗粒物探测[J]. 红外与激光工程, 2020, 49(S2): 20200324. Zhao Yuefeng, Gao Jing, Pan Jie, Wang Xu, Zhang Yurong, Li Hui, Wang Yanqi, Duan Mengjun, Yue Weiwei, Cai Yangjian, Xu Huaqiang, Wang Jingjing*. Detection of regional atmospheric particulate matter based on lidar[J]. Infrared and Laser Engineering, 2020, 49(S2): 20200324.

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