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Evaluation of the SWAT model for water balance study of a mountainous snowfed river basin of Nepal

机译:尼泊尔山区雪河流域水平衡研究的SWAT模型评估

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In this study, a semi-distributed hydrologic model Soil and Water Assessment Tool (SWAT) has been employed for the Karnali River basin, Nepal to test its applicability for hydrological simulation. Further, model was evaluated to carry out the water balance study of the basin and to determine the snowmelt contribution in the river flow. Snowmelt Runoff Model (SRM) was also used to compare the snowmelt runoff simulated from the SWAT model. The statistical results show that performance of the SWAT model in the Karnali River basin is quite good (p-factor = 0.88 and 0.88, for daily calibration and validation, respectively; r-factor = 0.76 and 0.71, for daily calibration and validation, respectively). Baseflow alpha factor (ALPHA_BF) was found most sensitive parameter for the flow simulation. The study revealed that the average annual runoff volume available at the basin outlet is about 47.16 billion cubic metre out of which about 12% of runoff volume is contributed by the snowmelt runoff. About 25% of annual precipitation seems to be lost as evapotranspiration. The results revealed that both the models, SWAT and SRM, can be efficiently applied in the mountainous river basins of Nepal for planning and management of water resources.
机译:在这项研究中,已将半分布式水文模型土壤和水评估工具(SWAT)用于尼泊尔卡纳利河流域,以测试其在水文模拟中的适用性。此外,还对模型进行了评估,以进行流域的水平衡研究,并确定融雪对河流流量的贡献。融雪径流模型(SRM)也用于比较从SWAT模型模拟的融雪径流。统计结果表明,SWAT模型在卡纳利河流域的性能相当好(分别用于日常校准和验证的p因子= 0.88和0.88;用于日常校准和验证的r因子= 0.76和0.71) )。发现基本流量alpha因子(ALPHA_BF)是流量模拟中最敏感的参数。研究表明,流域出口处的年平均径流量约为471.6亿立方米,其中约12%的径流量来自融雪径流。约25%的年降水量似乎因蒸散而流失。结果表明,SWAT模型和SRM模型都可以有效地应用于尼泊尔山区河流流域,以进行水资源的规划和管理。

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