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Modelling of rainfall intensity in a watershed: A case study in Amprong watershed, Kedungkandang, Malang, East Java of Indonesia

机译:流域内降雨强度的模拟:以印度尼西亚东爪哇省玛格丹(Kedungkandang),安邦(Amprong)流域为例

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摘要

Analysis of rainfall intensity with specific probability is very important to control the negative impact of rainfall occurrence. Rainfall intensity (I), probability (p) and return period (T) are very important variables for the discharge analysis. There are several methods to estimate rainfall intensity, such as Talbot, Sherman, and Ishiguro. The aim of this research is to develop equation model which can predict rainfall intensity with specific duration and probability. The equation model is compared with the other methods. The result of rainfall intensity model with the value of correlation 0.94 and Nasha??Sutcliffe coefficient 99 is quite good enough if compared with the observation result. For specific return period, the modelling result is less accurate which is most likely caused by election of duration. Advanced research in other location indicates that short duration gives the better result for rainfall intensity modelling, which is shown by the decreasing average value of mean absolute error (MAE) from 12.963 to 8.26.
机译:以特定概率分析降雨强度对于控制降雨发生的负面影响非常重要。降雨强度(I),概率(p)和恢复期(T)是流量分析中非常重要的变量。有几种估算降雨强度的方法,例如Talbot,Sherman和Ishiguro。本研究的目的是建立方程模型,该模型可以预测特定持续时间和概率下的降雨强度。将方程模型与其他方法进行比较。与观测结果相比,降雨强度模型的相关值> 0.94,Nasha ?? Sutcliffe系数> 99的结果足够好。对于特定的返回期,建模结果的准确性较差,这很可能是由持续时间的选择引起的。在其他地方的高级研究表明,持续时间短可以为降雨强度建模提供更好的结果,这可以通过将平均绝对误差(MAE)的平均值从12.963降低到8.26来表明。

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