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Rainfall - Runoff Modeling: A Comparative Analyses: Semi Distributed HBV Light and SWAT Models in Geba Catchment, Upper Tekeze Basin, Ethiopia

机译:降雨 - 径流模型:比较分析:Geba集水区半分布式HBV光线和SWAT模型,埃塞俄比亚

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This study was conducted to identify the best hydrological models in simulating the discharge in a comparative approach /SWAT and HBV light/ at Geba cathment and identifying of models which represent realistic simulation at sub basin scale. The various modelling procedure (i.e input data, sensitivity analsis, calibration, validation and uncertainty assessment) were employed to test the models performance. The results shows that K2 , MAXBAS , BETA are more sensitive than other model parameters in HBV light model and CN2, GWQMN and SOL_AWC are more sensitive parameters in case of SWAT. The calibration results of HBV light and SWAT as evaluated by E NS , R 2 and PBIAS are 0.70, 0.71 and 0.73, 0.81, -11% respectively. Moreover, an E NS , R 2 and PBIAS of 0.71, 0.72 and 0.72, 0.72, 4.1% were obtained during validation Period for HBV light and SWAT models respectively. From the uncertainity plot for HBV light most of the simulated flow are inside the 95PPU with high predictive uncertainity band in Monte Carlo Simulation as comparsion with the SWAT CUP uncertainity analysis by SUFI 2 and from the uncertainity plot in SWAT model most of the simulated hydrograph is outside the upper and lower band and less predictive uncertainiy. These mentioned results depicted that both models are well reasonably simulated the discharge of Geba catchment and from uncertainity and identifiability of parameter applying HBV light model could be effective in simulation of runoff for sustainable water resources management in the watershed runoff.
机译:进行该研究以确定在比较方法/ SWAT和HBV光/ HBV光/ HBV光/ HBV光线下的放电和识别代表亚盆地规模的逼真模拟的模型的最佳水文模型。采用各种建模程序(I.E输入数据,灵敏度Analsis,校准,验证,验证,验证和不确定性评估)来测试模型性能。结果表明,在SWAT的情况下,K2,MAXBAS,BETA比HBV光模型中的其他模型参数更敏感,GWQMN和SOL_AWC是更敏感的参数。由E NS,R 2和PBIA评估的HBV光和SWAT的校准结果分别为0.70,0.71和0.73,0.81,-11%。此外,在HBV光和SWAT模型的验证期间获得0.71,0.72和0.72,0.72,4.1%的E NS,R 2和PBIAs。从HBV光线的临床统计图中,大多数模拟流程在95ppu内部,在蒙特卡罗模拟中,具有高预测的不确定条带,与SUFI 2的SWAT杯不确定分析和SWAT模型中的临床统计图中的大多数模拟的水力统计学在上部和下部频段外和更少的预测不确定。这些提到的结果描绘了两种型号的合理模拟了Geba集水区的放电以及应用HBV光模型的参数的不确定性和可识别性,可以有效地模拟流域径流中可持续水资源管理的径流。

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