Evaluation of distributed and semi-distributed hydrological models in complex River Basin system, Nepal

Bhumi Raj Budhathoki , Tirtha Raj Adhikari , Lele Shu , Suraj Shrestha , Ram Prasad Awasthi , Binod Dawadi , Binod Baniya , Yam Prasad Dhital
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Abstract

Hydrological information is essential for planning water resource projects and for simulating hydrological models to calibrate and generate streamflow data. This study evaluates the performance of distributed and semi-distributed hydrological models in the Tamakoshi River Basin (TRB), Nepal. The models assessed include the Spatial Process in Hydrology (SPHY), Hydrologiska Byråns Vattenbalansavdelning (HBV), and Hydrologic Engineering Centre Hydrologic Modeling System (HEC-HMS). The models were evaluated using metrics such as Nash-Sutcliffe Efficiency (NSE) ranging from 0.62 to 0.77, Coefficient of Determination (R2) from 0.76 to 0.77, and Percentage Bias (P Bias) from 26.16 % to −3.54 % during daily calibration. All three models were successfully calibrated and validated on a daily and monthly basis using observed discharge data at the Busti station in the TRB. The SPHY model performed better during the calibration period compared to the validation period, while the HBV and HEC-HMS models showed better performance during validation than calibration. Among the statistical indicators, the coefficient of determination closely matched, but NSE and P Bias showed some deviations. This comparative analysis of calibrated and validated models is valuable for filling gaps in hydrological data records and for selecting appropriate hydrological models for planning, managing, and developing water resource projects in the TRB.
评估尼泊尔复杂流域系统中的分布式和半分布式水文模型
水文信息对于规划水资源项目以及模拟水文模型以校准和生成流量数据至关重要。本研究评估了分布式和半分布式水文模型在尼泊尔 Tamakoshi 河流域(TRB)的性能。评估的模型包括水文学空间过程模型 (SPHY)、水文模型 (HBV) 和水文工程中心水文建模系统 (HEC-HMS)。在日常校核过程中,使用的指标包括纳什-苏克里夫效率 (NSE) 从 0.62 到 0.77,判定系数 (R2) 从 0.76 到 0.77,偏差百分比 (P Bias) 从 26.16 % 到 -3.54%。利用 TRB 布斯提站的观测排水数据,成功地对所有三个模型进行了每日和每月校核和验证。SPHY 模型在校核期间的表现优于验证期间的表现,而 HBV 和 HEC-HMS 模型在验证期间的表现优于校核期间的表现。在统计指标中,判定系数非常接近,但 NSE 和 P 偏差出现了一些偏差。这种校核和验证模型的对比分析对于填补水文数据记录的空白以及为规划、管理和开发 TRB 的水资源项目选择合适的水文模型非常有价值。
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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