复杂地形下激光雷达测风误差的修正
发布时间：2018-11-13 16:44
【摘要】：激光测风雷达(Light Detection and Ranging,LiDAR)在大气边界层观测试验中的应用越来越广泛。测风精度对风资源评估非常重要。复杂地形流场的非均匀性导致激光测风雷达测风的误差,可能对相关的工程应用造成系统风险。文章给出了基于流体模型修正LiDAR测风误差的算法,并利用德国Fraunhofer IWES测试站同期LiDAR和风杯观测数据验证了算法的有效性。研究发现:(1)80 m高度各风向LiDAR的实测误差为-5.0%~2.5%,平均为1.2%;(2)稳态雷诺平均计算流体力学软件Greenwich CFD可用来修正复杂地形下LiDAR的观测误差,估算的分风向LiDAR测风误差和实测的LiDAR测风误差趋势是一致的,且模拟表明,Cosine型的误差形状与场址地形特征直接相关;(3)线性流体模型WAs P不能有效刻画坡度超过15°地形的流场特征,基于WAs P的复杂地形LiDAR测风误差修正是不可靠的。
[Abstract]:Lidar (Light Detection and Ranging,LiDAR) has been widely used in atmospheric boundary layer observation experiments. Wind measurement accuracy is very important for wind resource evaluation. The inhomogeneity of the complex topographic flow field leads to the wind measurement error of the laser wind measuring radar, which may cause the system risk to the related engineering applications. In this paper, an algorithm for correcting LiDAR wind measurement error based on fluid model is presented, and the validity of the algorithm is verified by simultaneous LiDAR and wind cup observations at Fraunhofer IWES test station in Germany. The results are as follows: (1) the measured error of LiDAR for each wind direction at 80 m height is -5.0 and 2.5, with an average of 1.2; (2) the steady-state Reynolds mean computational fluid dynamics software Greenwich CFD can be used to correct the observation error of LiDAR in complex terrain. The estimated wind error of LiDAR in wind direction is consistent with the trend of measured error of LiDAR, and the simulation results show that, The error shape of Cosine type is directly related to the topographic features of the site. (3) the linear fluid model (WAs P) can not effectively describe the characteristics of flow field with slope over 15 掳, and the correction of LiDAR wind measurement error based on WAs P is not reliable.
【作者单位】： 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室;
【基金】：国家自然科学基金面上基金项目(11472272);国家自然科学基金面上基金项目(41675010)
【分类号】：TK81;TN958.98
，
本文编号：2329721
[Abstract]:Lidar (Light Detection and Ranging,LiDAR) has been widely used in atmospheric boundary layer observation experiments. Wind measurement accuracy is very important for wind resource evaluation. The inhomogeneity of the complex topographic flow field leads to the wind measurement error of the laser wind measuring radar, which may cause the system risk to the related engineering applications. In this paper, an algorithm for correcting LiDAR wind measurement error based on fluid model is presented, and the validity of the algorithm is verified by simultaneous LiDAR and wind cup observations at Fraunhofer IWES test station in Germany. The results are as follows: (1) the measured error of LiDAR for each wind direction at 80 m height is -5.0 and 2.5, with an average of 1.2; (2) the steady-state Reynolds mean computational fluid dynamics software Greenwich CFD can be used to correct the observation error of LiDAR in complex terrain. The estimated wind error of LiDAR in wind direction is consistent with the trend of measured error of LiDAR, and the simulation results show that, The error shape of Cosine type is directly related to the topographic features of the site. (3) the linear fluid model (WAs P) can not effectively describe the characteristics of flow field with slope over 15 掳, and the correction of LiDAR wind measurement error based on WAs P is not reliable.
【作者单位】： 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室;
【基金】：国家自然科学基金面上基金项目(11472272);国家自然科学基金面上基金项目(41675010)
【分类号】：TK81;TN958.98
，
本文编号：2329721
本文链接：https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/2329721.html
