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Quantifying Excess Stormwater Using SCS-CN-Based Rainfall Runoff Models and Different Curve Number Determination Methods

机译:使用基于SCS-CN的降雨径流模型和不同的曲线数确定方法量化过量雨水

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Estimation of excess storm water is among the most basic hydrological challenges for hydrologists and engineers. The initial abstraction ratio λ (= 0.2) assumed in the original U.S. Soil Conservation Service curve number (SCS-CN) is ambiguous and must be calibrated from rainfall-runoff measurements for better runoff estimation. Eight different models including the original SCS-CN model, modified models inspired by it, and three newly proposed models were investigated to assess the accuracy of runoff estimation using rainfall-runoff measurements from 15 watersheds in South Korea. Different methods for CN determination were evaluated to see the effect of CN and λ on runoff estimation. The optimized λ and CN exhibited better results than fixed values as in the original SCS-CN model. Using three different goodness-of-fit statistics to assess the accuracy of the estimates, our proposed models outperformed in all watersheds in the study area when compared with the original SCS-CN model and some of its modified models.
机译:对于水文学家和工程师来说,估算过多的雨水是最基本的水文挑战之一。美国原始水土保持服务曲线编号(SCS-CN)中假定的初始提取比λ(= 0.2)模棱两可,必须根据降雨径流测量值进行校准才能更好地估算径流。研究了八个不同的模型,包括原始SCS-CN模型,受其启发的改进模型以及三个新提出的模型,以使用韩国15个流域的降雨-径流测量值来评估径流估算的准确性。评价了不同的CN确定方法,以查看CN和λ对径流估算的影响。与原始SCS-CN模型一样,优化后的λ和CN显示出比固定值更好的结果。与原始的SCS-CN模型及其某些修改后的模型相比,使用三种不同的拟合优度统计数据来评估估计的准确性,我们提出的模型在研究区域的所有流域中均表现出色。

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