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Hydrological Simulation in a Forest Dominated Watershed in Himalayan Region using SWAT Model

机译：基于SWAT模型的喜马拉雅地区森林为主流域的水文模拟。

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The present study is taken up to test the suitability of SWAT (Soil and Water Assessment Tool) model for estimation of runoff and to understand sensitiveness of model input parameters in a predominantly forested watershed in Kumaun region of Himalaya. The study area Dabka is a small watershed (69.41 km2) lies in North West of Nainital in Uttarakhand. The SWAT is calibrated at an upstream intermediate gauging site Bagjhala draining approximately an area of 65.78 km2 on monthly basis due to non-availability of observed data at main outlet. A local sensitivity analysis is performed on 13 input variables in terms of model outputs such as water yield, surface runoff and baseflow to gain in depth understanding of the role of different model parameters for their proper selection. The study concluded that model performed well with Root Mean Square Error (RMSE) value 0.242 for calibration and 0.81 for validation. Nash Sutcliffe Efficiency (NSE) for calibration and validation period is obtained as 0.77 and 0.73 respectively whereas Coefficient of determination (R2) for calibration and validation period is 0.86 and 0.90 indicating good model performance. The most sensitive model parameters affecting water yield are CN2, GWQMN and SOLZ. On the basis of sensitiveness of model parameters, the ranking of most sensitive parameters from highest sensitive to relatively lesser sensitiveness on stream flow are CN2, SOL K and SOLAWC whereas for base flow SOL AWC, SOL Z and GWQMN are found to be more sensitive followed by CN2, ESCO and SOLK..
机译：本研究旨在测试SWAT（土壤和水评估工具）模型在径流估算中的适用性，并了解喜马拉雅州库马恩地区主要森林流域中模型输入参数的敏感性。研究区达布卡（Dabka）是一个小流域（69.41 km2），位于北阿坎德邦的奈尼塔尔西北。由于无法获得主出口的观测数据，因此在上游中间计量站Bagjhala校准了SWAT，该排水量每月约占65.78 km2的面积。根据模型输出（例如水产量，地表径流和基流）对13个输入变量进行了局部敏感性分析，以深入了解不同模型参数对其正确选择的作用。研究得出的结论是，模型的均方根误差（RMSE）值为0.242，验证值为0.81，模型表现良好。校准和验证期的纳什苏特克利夫效率（NSE）分别为0.77和0.73，而校准和验证期的确定系数（R2）为0.86和0.90，表明模型性能良好。影响水产量的最敏感的模型参数是CN2，GWQMN和SOLZ。根据模型参数的敏感度，对流量最大敏感参数从最高敏感度到相对较小敏感度的排名是CN2，SOL K和SOLAWC，而对于基本流量，SOL AWC，SOL Z和GWQMN敏感度最高。由CN2，ESCO和SOLK ..

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