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Spatial Decision Assistance of Watershed Sedimentation (SDAS): Development and Application

机译:流域泥沙(SDAS)的空间决策辅助:开发与应用

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This paper discusses the development and application of a spatial tool for erosion modeling named Spatial Decision Assistance of Watershed Sedimentation (SDAS). SDAS computes export (yield) of sediment from watershed as product of erosion rate and sediment delivery ratio (SDR). The erosion rate is calculated for each raster grid according to a digital elevation model, soil, rain fall depth, and land cover data using the Universal Soil Loss Equation. SDR calculation is carried out for each spatial unit. A spatial unit is the smallest sub-watershed considered in the model and generated according to the TauDEM algorithm. The size of one spatial unit is assigned by the user as the minimum number of raster grids. SDR is inversely proportional to sediment resident time and controlled by rainfall, slope, soil, and land cover. Application of SDAS is demonstrated in this paper by simulating the spatial distribution of the annual sediment yield across the Citarum watershed in the northwest of Java, Indonesia. SDAS calibration was carried out based on sediment discharge observations from the upper catchment. We considered factors for hillslope flow depth and for actual and effective rainfall duration to fit the computed sediment yield to the observed sediment discharge. The computed sediment yield agreed with the observation data with a 7% mean relative accuracy.
机译:本文讨论了用于侵蚀建模的空间工具,即流域泥沙的空间决策辅助(SDAS)的开发和应用。 SDAS将流域的沉积物出口(产量)计算为侵蚀率和沉积物输送比(SDR)的乘积。使用通用土壤流失方程,根据数字高程模型,土壤,雨滴深度和土地覆盖数据,为每个栅格网格计算侵蚀率。针对每个空间单位执行SDR计算。空间单位是模型中考虑的最小子分水岭,并根据TauDEM算法生成。用户将一个空间单位的大小指定为最小栅格网格数。 SDR与沉积物停留时间成反比,并受降雨,坡度,土壤和土地覆盖的控制。本文通过模拟印度尼西亚爪哇西北部Citarum流域年沉积物产量的空间分布,证明了SDAS的应用。 SDAS校准是基于上流域的沉积物排放观测结果进行的。我们考虑了坡面流量深度以及实际和有效降雨持续时间的因素,以将计算出的泥沙产量与观测的泥沙排放量相匹配。计算出的泥沙产量与观测数据相符,平均相对精度为7%。

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