洪水分析的水文和水力模型:以莫迪流域为例

Kabita Poudel, K. Basnet, Bikash Sherchan
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引用次数: 1

摘要

摘要随着洪泛区的发展和气候变化,洪水风险增加,导致洪泛区洪水增加。根据水文和气象部门的数据,尼泊尔每年受洪水影响的人数在世界各国中排名第20位。评估洪水的范围和深度一直是水资源管理者的主要目标之一。本研究旨在为尼泊尔莫迪河流域开发水文工程中心水文建模系统(HEC-HMS)和水文工程中心河流分析系统(HECRAS)模型。HEC-HMS是用于模拟不同地理区域径流和降雨过程的水文模型之一。本研究使用了莫迪河流域内7个气象站的降水资料和水文站的流量资料。使用2006年至2010年的数据进行校准,随后使用2011年至2013年的每日时间步长数据进行验证。根据计算的统计参数(NSE, R)和模拟流量与观测流量的比较,对模型的效率进行了评价。该模型在标定过程中的表现非常好,其决定系数R = 0.81, Nash-Sutcliffe Efficiency NSE = 0.78。同样,模型在验证期内的性能也很好,R = 0.80, NSE = 0.78。基于这些性能结果,HEC-HMS模型对莫迪盆地的水流进行了满意的预测。此外,利用HEC-RAS绘制的洪水图,研究了洪水范围及其特征。莫迪河流域以林地为主,洪泛平原制图显示了流域下游的森林和树木被淹没的情况。这表明未来在河流附近的定居点已被发现是洪水的高风险。研究还表明,水电站结构也处于洪水危险区。该模型可为莫迪河流域的水资源管理和防洪提供参考,也可应用于其他流域。
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Hydrological and Hydraulic Modeling for Flood Analysis: A Case Study for Modi Catchment
534 Abstract— With the development of floodplains and climate change, the risks associated with flooding have increased, leading to increased flooding in floodplains. According to data from the Department of Hydrology and Meteorology, Nepal ranks 20th among countries in the world in the number of people affected by floods each year. Assessing the extent and depth of flooding has always been one of the main goals of water resources managers. This research aims to develop the Hydrological Engineering Center Hydrological Modeling System (HEC-HMS) and Hydrological Engineering Center River Analysis System (HECRAS) models for the Modi River Basin in Nepal. HEC-HMS is one of the hydrological models used to simulate the process of runoff and rainfall in different geographical areas. In this study, the precipitation data of seven meteorological stations and flow data of the hydrological station within the Modi River basin were used. The calibration was performed using data from 2006 to 2010 and was consequently validated using data from 2011 to 2013 at a daily time step. The efficiency of model was evaluated based on calculated statistical parameters (NSE, R) and comparing the simulated and observed discharge flows. The performance of this model during calibration was very good, with the coefficient of determination R = 0.81, Nash-Sutcliffe Efficiency NSE = 0.78. Similarly, the performance of the model during the validation period was also very good, R = 0.80, NSE = 0.78. Based on these performance results, the HEC-HMS model made a satisfactory prediction of water flow in the Modi Basin. In addition, the flood map produced by HEC-RAS was used to study the flood range and its characteristics. The Modi River basin is dominated by forest lands and hence the flood plain mapping showed the inundation of forest and trees at the lower reach of basin. It indicated that the future settlement at the vicinity of river has been found to be at high risk of flood. The study also showed that the structure of hydropower station also lies in flood hazardous zone. The model can be used as a reference for water resources management and flood control in the Modi River Basin, and can also be applied to other river basins.
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