Application of SWAT Model for Estimating Runoff in Upper Nile River Basin

Rebecca Sultana, Shashwat Dhungana, Nimnee Bhatta
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引用次数: 2

Abstract

Hydrological models have been used to analyze the hydrological processes and availability of water in different watersheds. It is one of the most significant aspects of water resources management and development programme to use different hydrological models for predicting the flow of river basins. Calibration and validation of the developed hydrological model is also important so that the model users can be confident while estimating the flow of the watershed. In this study, a semi-distributed hydrological model was developed for 0.176 million km2 Upper Blue Nile river basin using Soil and Water Assessment Tool (SWAT). The applicability of SWAT was assessed for rainfall- runoff simulation in Upper Blue Nile basin. The model was calibrated and validated using 10 years of discharge data. Model calibration and sensitivity analysis were performed with sequential uncertainty fitting (SUFI-2), which is one of the programs interfaced with SWAT, in the package SWAT-CUP. The most and least sensitive parameters were CN2 (curve number) and GW_DELAY (ground water delay time) respectively. Performance of the model was evaluated based on Nash Sutcliff Efficiency (NSE) and Coefficient of Determination (R2) which were 0.71 and 0.66 respectively for calibration. Overall, the model demonstrated good performance in producing the patterns and trend of the observed discharge which assures the suitability of the SWAT model for future scenario analysis. Uncertainty analysis of the SWAT model of upper Blue Nile basin, consideration of other parameters and incorporating more flow data from other stations within the basin is recommended for future studies.
SWAT模型在上尼罗流域径流估算中的应用
水文模型已被用于分析不同流域的水文过程和水的可用性。使用不同的水文模型来预测河流流域的流量是水资源管理和发展方案最重要的方面之一。对已开发的水文模型进行校准和验证也很重要,以便模型用户在估计流域流量时能够有信心。利用SWAT (Soil and Water Assessment Tool)对青尼罗上游流域17.6万平方公里进行了半分布式水文模型的建立。评价了SWAT在上青尼罗流域降雨径流模拟中的适用性。该模型使用10年的排放数据进行了校准和验证。在SWAT- cup软件包中,采用序列不确定性拟合(SUFI-2)对模型进行校准和灵敏度分析,SUFI-2是SWAT接口程序之一。最敏感参数为CN2(曲线数),最不敏感参数为GW_DELAY(地下水延迟时间)。采用Nash Sutcliff效率(NSE)和决定系数(R2)对模型进行评价,NSE和R2分别为0.71和0.66。总体而言,该模型在产生观测流量的模式和趋势方面表现出良好的性能,保证了SWAT模型对未来情景分析的适用性。建议对青尼罗河上游流域SWAT模型进行不确定性分析,考虑其他参数,并纳入更多流域内其他站点的流量数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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