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Evaluation of WMS model in basins without statistical data in southwestern Iran using Dicken's experimental method (case study: Kuhgel Basin of Khuzestan Province)
Applied Water Science ( IF 5.7 ) Pub Date : 2022-05-20 , DOI: 10.1007/s13201-022-01685-5
Yaser Hoseini

Floods are important in studies related to water resources utilization, dam construction, basin management and hydrological studies. Therefore, to a large extent, the accuracy of these studies and the safety of water facilities depends on the flood study methods. The aim of this study was to investigate the WMS model in determining the maximum flood discharge in three sub-basins with areas of 10.3, 1.5 and 7.3 square kilometers in the Kuhgel region located in southwest of Iran. Comparing the results of the model with the results of the Dicken's experimental method in the region showed that the maximum flood discharge and flood volume estimated by the WMS model are well consistent with the values of the Dicken's experimental method. Therefore, the relative error percentage index, root-mean-square error and Nash–Sutcliffe coefficient of the model were calculated equal to 6.12, 0.51 and 0.82, respectively. The results also revealed that the mean of model estimates was approximately 0.16% higher than Dicken's experimental method. Based on Student's t-test, the difference between the model values and Dicken's experimental method was not significant at the level of one percent. The results show that the WMS model simulates flood values with appropriate accuracy for basins with no statistical data in southwest of Iran. Due to the high sensitivity of the SCS method in the WMS model to rainfall distribution, rainfall analysis in the study area is necessary to achieve the desired results and the rainfall distribution and its time distribution should be as close as possible to the actual values in the region.



中文翻译:

伊朗西南部无统计数据盆地WMS模型评价采用Dicken实验法(案例研究:胡齐斯坦省库赫尔盆地)

洪水在与水资源利用、大坝建设、流域管理和水文研究相关的研究中非常重要。因此,这些研究的准确性和水利设施的安全性在很大程度上取决于洪水研究方法。本研究的目的是研究 WMS 模型确定伊朗西南部 Kuhgel 地区面积分别为 10.3、1.5 和 7.3 平方公里的三个子流域的最大洪水流量。将该模型结果与该地区Dicken试验方法的结果进行比较表明,WMS模型估算的最大泄洪量和洪水量与Dicken试验方法的数值吻合较好。因此,相对误差百分比指数,模型的均方根误差和 Nash-Sutcliffe 系数分别计算为 6.12、0.51 和 0.82。结果还显示,模型估计的平均值比 Dicken 的实验方法高约 0.16%。根据学生 t 检验,模型值与狄肯实验方法之间的差异在百分之一的水平上不显着。结果表明,对于伊朗西南部没有统计数据的流域,WMS 模型以适当的精度模拟了洪水值。由于 WMS 模型中的 SCS 方法对降雨分布具有较高的敏感性,因此需要对研究区进行降雨分析才能达到预期的效果,降雨分布及其时间分布应尽可能接近实际值。地区。

更新日期:2022-05-22
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