顾及局部微地形特征的DEM洼地处理算法

发布时间：2018-02-12 19:45

本文关键词： DEM 洼地水文分析局部微地形漫水算法　出处：《地理与地理信息科学》2017年05期 　论文类型：期刊论文

【摘要】：基于数字高程模型(DEM)的洼地处理过程是分布式水文建模的基础步骤,但也是极其耗时的环节。随着DEM数据量的不断提高,洼地处理的效率提升成为解决当前分布式水文分析的重要突破口。该文在对局部微地形特征剖析的基础上,提出了局部微地形漫水算法(MFF算法),该方法分析了洼地处理过程中的8种局部微地形模式,并提出了两种洼地处理过程中的冗余点判别方法。通过对微地形中冗余点、洼地、平地的优化处理,实现了算法效率的有效提升。最后,以70个不同数据量的DEM为实验数据,分析了MFF算法的正确性与计算效率。实验结果表明:MFF算法在保证运算正确性的基础上,相比WL算法,执行效率平均提高40.13%,最大提高57.21%,可望为DEM高效水文分析提供新的方法。
[Abstract]:The process of depressions processing based on digital elevation model (DEM) is the basic step of distributed hydrological modeling, but it is also an extremely time-consuming link. The improvement of the efficiency of depressions has become an important breakthrough to solve the problem of distributed hydrological analysis. In this paper, a local microtopography overflowing algorithm (MFF) is proposed. Eight local microtopography modes are analyzed in the process of treating the depressions, and two kinds of redundant points discrimination methods in the process of treating the depressions are put forward. The redundancy points and the depressions in the microtopography are analyzed. The optimization of the flat land realizes the efficiency of the algorithm. Finally, 70 DEM with different amount of data are used as the experimental data. The correctness and computational efficiency of the MFF algorithm are analyzed. The experimental results show that on the basis of ensuring the correctness of the calculation, the implementation efficiency of the MFF algorithm is 40.13 and 57.21, which is expected to provide a new method for the efficient hydrological analysis of DEM.
【作者单位】：南京邮电大学地理与生物信息学院;苏州工业园区格网信息科技有限公司;浙江省测绘科学技术研究院;
【基金】：国家自然科学基金项目(41401440) 江苏省自然科学基金青年项目(BK20160893) 江苏省高校哲学社会科学研究项目(2016SJB630001) 江苏省高校自然科学研究面上项目(16KJB170012) 南京邮电大学校引进人才项目(NYY215017) 中央高校基本科研业务费专项资金项目(30920140122012)
【分类号】：P208;P333

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