激光雷达观测斜程能见度反演方法

目前基于激光雷达测量能见度的反演算法可以较为准确地反演均匀大气条件下的水平能见度,对云雨雾等非均匀大气条件下斜程能见度的准确反演较为困难。为了准确探测复杂大气条件下的斜程能见度,分析了激光雷达探测大气能见度的反演算法,重点针对非均匀大气条件下能见度难以准确反演的问题,提出了一种将Collis斜率法与Klett后向法相结合的能见度反演迭代算法,适用于不同天气条件下不同倾角路径平均能见度的反演。利用车载式激光雷达系统对能见度进行了实际测量,实验表明:在均匀大气条件下,该迭代算法与广泛使用的Collis斜率法和Klett后向法完全吻合;对于非均匀大气条件,该迭代算法也可克服Collis斜率法和Klett后向法的局限,更为快速稳定准确地反演出需要的大气能见度信息。

Inversion algorithm for slant visibility based on lidar technique

Present inversion method for atmospheric visibility based on lidar technique is only able to inverse horizontal visibility accurately.Many disadvantages exist for slant visibility inversion in condition of inhomogeneous atmosphere such as rainy,cloudy and foggy.In order to measure slant visibility accurately,the principles of atmospheric visibility measurement with lidar was investigated,and experiments for visibility measurement with mobile lidar were conducted,especially a new iteration algorithm used for visibility inversion was posed.The algorithm is a combination of the well-known Collis slope method and Klett backward method,and it is able to retrieve the value of atmospheric visibility in different weather condition.The comparison experiment results show that this iteration algorithm agrees with Collis slope method and Klett backward method completely in condition of homogeneous atmosphere.For inhomogeneous atmosphere,this iteration algorithm can make up the shortages of Collis slope method and Klett backward method and retrieve the value of atmospheric visibility quickly,stably and accurately.