Flood frequency analysis for an ungauged Himalayan river basin using different methods: a case study of Modi Khola, Parbat, Nepal

B. Acharya, B. Joshi
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引用次数: 5

Abstract

Predicting flood discharges in the rivers of an ungauged basin is tedious because essential hydrological data is lacking. In mountainous countries like Nepal, the design of hydraulic structures in these steeply sloped rivers is of prime importance for flood control, as well as for electricity generation where hydraulic head is gained over short, steep reaches. This study illustrates a variety of approaches that can be used to perform flood frequency analysis of typical ungauged mountainous rivers, where discharge data are available from hydrologically similar catchments. The various methods are evaluated by comparing the goodness of fit of an array of hydrologic distribution functions. From each probability density function or regional empirical method, we predict the multi-year return periods for floods, information that is generally required to design the hydraulic structures. The analysis was done based on the annual maxima, peaks above threshold, and widely used regional empirical methods. This analysis was accomplished using the discharge data of Nayapul station near Jhapre Bagar collected from the Department of Hydrology and Meteorology, Government of Nepal, Kathmandu. The analysis and results of this study paved the way for the hydraulic design of water systems in the ungauged study region and demonstrated how the information acquired can be used for water resource management in catchments with similar hydrologic features.
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使用不同方法对未测量的喜马拉雅河流域进行洪水频率分析:以尼泊尔帕尔巴特莫迪科拉为例
由于缺乏必要的水文数据,在未测量的盆地中预测河流的洪水流量是乏味的。在尼泊尔这样的多山国家,在这些陡坡河流中设计水工结构对防洪以及在短而陡峭的河流中获得水头的发电至关重要。本研究说明了各种可用于对典型的未测量的山地河流进行洪水频率分析的方法,这些河流的流量数据可从水文相似的集水区获得。通过比较一系列水文分布函数的拟合优度来评价各种方法。从每个概率密度函数或区域经验方法中,我们预测了洪水的多年重现期,这是设计水工建筑物通常需要的信息。分析基于年最大值、阈值以上峰值和广泛使用的区域经验方法。这项分析是利用尼泊尔政府加德满都水文和气象部收集的Jhapre Bagar附近Nayapul站的流量数据完成的。这项研究的分析和结果为未测量的研究区域的水系统的水力设计铺平了道路,并展示了如何将获得的信息用于具有类似水文特征的集水区的水资源管理。
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