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An evaluation of grid size uncertainty in empirical soil loss modeling with digital elevation models

机译:用数字高程模型评估经验性土壤流失模型中的网格大小不确定性

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This paper presents a study on the effect of topographic variability on grid-based empirical estimation of soil erosion and sediment transport with raster geographic information systems (GIS). An original digital elevation model (DEM) of 10 m resolution for a case watershed is resampled to six realizations of greater grid sizes for a comparative examination. The Universal Soil Loss Equation (USLE) and a distance-based sediment delivery equation are applied to the watershed to calculate soil loss from each cell and total sediment transport to streams, respectively. The results suggest that the selection of the DEM gird size has considerable influence on the soil loss estimation with the empirical models. The estimate of total soil loss from the watershed decreases significantly with the increasing DEM cell size as the spatial variability is reduced by the cell aggregation. The empirical modeling approach is a useful tool for qualitative assessment of soil erosion, provided that spatial variability can be adequately represented by applied DEMs. However, discretion is suggested for its applications to quantitative estimation of soil loss concerning the sensitivity to the grid size selection.
机译:本文提出了利用栅格地理信息系统(GIS)研究地形变化对基于网格的土壤侵蚀和沉积物迁移的经验估计的影响的研究。案例流域的原始10 m分辨率数字高程模型(DEM)被重新采样为具有更大网格尺寸的六个实现,以进行比较检查。将通用土壤流失方程式(USLE)和基于距离的沉积物输送方程式应用于分水岭,以分别计算每个单元的土壤流失和向河道输送的总沉积物。结果表明,DEM围网尺寸的选择对经验模型对土壤流失估算的影响很大。随着DEM单元大小的增加,流域总土壤流失的估计值会显着降低,因为单元聚集会减少空间变异性。经验建模方法是定性评估土壤侵蚀的有用工具,条件是所应用的DEM可以充分代表空间变异性。但是,建议将其应用到定量评估土壤流失方面,以考虑对网格尺寸选择的敏感性。

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