降雨径流模拟中DEM数据预处理及子汇水区校正
首发时间:2019-04-01
摘要:针对目前主流降雨径流模拟软件自动划分子汇水区时未考虑地形因素,以及人们忽略DEM数据中伪洼地导致模拟结果出现较大误差的问题,提出了一种改进的M&V算法进行填洼处理;根据对处理后数据的坡向分析,提出了子汇水区的校正方法;并以某小区为研究区域,对比分析了J&D算法和改进的M&V算法处理伪洼地的结果,表明改进的M&V算法不仅效率高且处理后栅格坡向明确;最后,将子汇水区校正前、后的数据分别导入模拟软件运行,结果表明:子汇水区校正前模拟值与实测值的最大径流误差约为11.52%,径流峰值流量误差约为8.09%,校正后模拟值与实测值的最大径流误差为6.81%,径流峰值误差为4.34%。校正后最大径流误差减少了4.71%,径流峰值误差减少了3.75%,模拟精度得到明显的提高。
关键词: 降雨径流模拟 子汇水区划分 数字高程模型 预处理 伪洼地。
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DEM Preprocessing and Sub-Catchment Correction in Rainfall Runoff Simulation
Abstract:At present, mainstream rainfall runoff simulation software automatically divides the sub-catchment without considering the topographical factors, and people ignore the falsely-closed depressions in the DEM, which leads to a large error in the simulation result. An improved M&V algorithm was proposed for sinking depressions; Based on the aspect analysis of the processed data, the correction method of the sub-catchment was proposed. Then, taking a certain cell as the research area, comparing the J&D algorithm and the improved M&V algorithm for processing the falsely-closed depressions, the results show that the improved M&V algorithm has high processing efficiency and clearer grid slope direction; Finally, the data before and after the correction of sub-catchment were respectively imported into the simulation software. The results show that before correction the maximum runoff error is about 11.52%, and the peak runoff error is about 8.09%. After correction, the maximum runoff error is 6.81%, and the peak runoff error is 4.34%; the maximum runoff error is reduced by 4.71%, and the peak runoff error is reduced by 3.75%. The simulation accuracy is significantly improved.
Keywords: rain runoff simulation sub-catchment division DEM pretreatment falsely-closed depression
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