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Impact of DEM Resolution and Spatial Scale: Analysis of Influence Factors and Parameters on Physically Based Distributed Model

机译:DEM分辨率和空间规模的影响:基于物理分布式模型的影响因素和参数分析

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摘要

Physically based distributed hydrological models were used to describe small-scale hydrological information in detail. However, the sensitivity of the model to spatially varied parameters and inputs limits the accuracy for application. In this paper, relevant influence factors and sensitive parameters were analyzed to solve this problem. First, a set of digital elevation model (DEM) resolutions and channel thresholds were generated to extract the hydrological influence factors. Second, a numerical relationship between sensitive parameters and influence factors was established to define parameters reasonably. Next, the topographic index (TI) was computed to study the similarity. At last, simulation results were analyzed in two different ways: (1) to observe the change regularity of influence factors and sensitive parameters through the variation of DEM resolutions and channel thresholds and (2) to compare the simulation accuracy of the nested catchment, particularly in the subcatchments and interior grids. Increasing the grid size from 250 m to 1000 m, the TI increased from 9.08 to 11.16 and the Nash-Sutcliffe efficiency (NSE) decreased from 0.77 to 0.75. Utilizing the parameters calculated by the established relationship, the simulation results show the same NSE in the outlet and a better NSE in the simple subcatchment than the calculated interior grids.
机译:物理基础的分布式水文模型用于详细描述小规模水文信息。然而,模型对空间变化的参数和输入的灵敏度限制了应用的准确性。在本文中,分析了相关影响因素和敏感参数来解决这个问题。首先,产生一组数字高度模型(DEM)分辨率和沟道阈值以提取水文影响因素。其次,建立了敏感参数与影响因素之间的数值关系,以合理地定义参数。接下来,计算地形索引(TI)以研究相似性。最后,以两种不同的方式分析了模拟结果:(1)通过DEM分辨率和通道阈值的变化来观察影响因素和敏感参数的变化规律性,并通过(2)来比较嵌套集水区的模拟精度,特别是在子迁移和内部网格中。将电网尺寸从250升增加到1000米,TI从9.08增加到11.16,纳什 - Sutcliffe效率(NSE)从0.77减少到0.75。利用由已建立的关系计算的参数,仿真结果在出口中显示出相同的NSE,并且在简单的子划分中比计算的内部网格更好的NSE。

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