红外与激光工程, 2017, 46 (4): 0411001, 网络出版: 2017-06-30   

基于高光谱分辨率激光雷达的气溶胶分类方法研究

Aerosol classification method based on high spectral resolution lidar
作者单位
1 中国海洋大学 海洋遥感研究所, 山东 青岛 266100
2 北京华航无线电测量研究所, 北京 100013
3 中国海洋大学 电子工程系, 山东 青岛 266100
摘要
气溶胶是影响气候变化和空气质量的重要因素, 对气溶胶作用的量化分析依赖于气溶胶光学性质及其垂直剖面的精细探测。高光谱分辨率激光雷达利用窄带光学滤波器, 可在光谱上实现对分子散射和气溶胶散射的分离, 从而在不需假设气溶胶激光雷达比的情况下, 独立获取气溶胶消光系数和后向散射系数。文中基于高光谱分辨率激光雷达技术, 开展气溶胶分类方法研究。根据已有的气溶胶分类研究结果, 给出基于气溶胶光学参数的分类方法, 并建立气溶胶分类查找表。利用高光谱分辨率激光雷达于2015年春季在青岛地区测量的气溶胶消光系数、后向散射系数和退偏振比, 参照建立的气溶胶分类查找表, 实现了对气溶胶的分类识别, 并用HYSPLIT轨迹模式、NAAPS气溶胶模式进行了印证。个例研究结果表明该方法能够实现对气溶胶类型的正确识别。
Abstract
Aerosols play a key role in climate change and air quality. The quantitative analysis of aerosol′s contribution relies on accurate measurements of aerosol optical properties and their vertical profiles. The High Spectral Resolution Lidar(HSRL) has the capability of spectrally discriminating molecular backscatter from aerosol backscatter by a narrow-band optical filter. Therefore aerosol extinction coefficient and aerosol backscatter coefficient can be retrieved independently without assumption of the aerosol lidar ratio.The research on aerosol classification method was conducted based on HSRL technique in this paper. According to published results of aerosol classification, a classification method based on aerosol optical properties was given and an aerosol classification look-up table was provided accordingly. Aerosol extinction coefficient, aerosol backscatter coefficient and depolarization ratio measured by HSRL in Qingdao during the spring of 2015 were used to classify aerosol types referring to the established aerosol classification look-up table. The results are consistent with the trajectory model HYSPLIT and aerosol analysis system NAAPS. Results of case studies demonstrate the method in this paper is capable to identify different aerosol types properly.

刘秉义, 庄全风, 秦胜光, 吴松华, 刘金涛. 基于高光谱分辨率激光雷达的气溶胶分类方法研究[J]. 红外与激光工程, 2017, 46(4): 0411001. Liu Bingyi, Zhuang Quanfeng, Qin Shengguang, Wu Songhua, Liu Jintao. Aerosol classification method based on high spectral resolution lidar[J]. Infrared and Laser Engineering, 2017, 46(4): 0411001.

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