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Sensitivity of topographic slope and modelled watershed soil loss to DEM resolution

机译:地形坡度和流域土壤流失模拟对DEM分辨率的敏感性

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A Digital Elevation Model (DEM) is a critical component for the parameterization of process-based watershed simulation models. The influence of DEM resolution on hydrological or water quality outputs is frequently ignored within watershed modelling studies. This research focuses on the effects of varying spatial DEM resolutions on the determination of slope and how this can influence sediment yield estimates within a process-based watershed model. The 784-ha Thomas Brook watershed in Nova Scotia, Canada was used as a case study. The grid spacing of a LiDAR derived DEM was created at 1, 5, 10 and 20 m and used to generate slope maps and predicted sediment loss with the Soil and Water Assessment Tool (SWAT). It was found that the occurrence of steep slopes increased in fine spatial resolution DEMs while predicted sediment loss decreased.
机译:数字高程模型(DEM)是基于过程的流域仿真模型的参数化的关键组件。在分水岭模型研究中,DEM分辨率对水文或水质输出的影响经常被忽略。这项研究的重点是变化的空间DEM分辨率对确定坡度的影响以及在基于过程的流域模型中,这如何影响沉积物产量估算。案例研究使用了加拿大新斯科舍省784公顷的Thomas Brook分水岭。 LiDAR衍生的DEM的网格间距是在1、5、10和20 m处创建的,并用于通过土壤和水评估工具(SWAT)生成坡度图和预测的泥沙流失。研究发现,在精细的空间分辨率DEM中,陡坡的发生增加了,而预计的泥沙流失却减少了。

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