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| 1 | 参数区域化在乏资料地区水文预报中应用研究综述显示文摘乏资料地区的水文响应预测是水文研究领域探讨的重要问题。目前解决乏资料地区水文响应预测的最常用方法是参数区域化,从水文模型、参证流域以及区域化具体方法 3个方面总结了国内外参数区域化的研究成果,针对参数区域化具体方法的适用性、各种方法存在的不足以及不确定性问题进行了重点剖析。并且提出了未来需要重点研究具有物理机制的水文模型,以减少水文模拟对模型率定的依赖程度,进而从根本上解决乏资料地区的水文预报问题。 | 毛能君 夏军 张利平 邹磊 石卫 | 2016 | 中国农村水利水电2016，，12： | 10 |
| 2 | Extenuating the parameters using HEC-HMS hydrological model for ungauged catchment in the central Omo-Gibe Basin of Ethiopia显示文摘Characteristics of ungauged catchments can be studied from the hydrological model parameters of gauged catchments.In this research,discharge prediction was carried out in ungauged catchments using HEC-HMS in the central Omo-Gibe basin.Linear regression,spatial proximity,area ratio,and sub-basin mean were amalgamated for regionalization.The regional model parameters of the gauged catchment and physical characteristics of ungauged catchments were collated together to develop the equations to predict discharge from ungauged catchments.From the sensitivity analysis,crop coefficient(CC),storage coefficient(R),constant rate(CR),and time of concentration(TC)are found to be more sensitive than others.The model efficiency was evaluated using Nash-Sutcliffe Efficiency(N_(SE))which was greater than 0.75,varying between−10%and+10%and the coefficient of determination(R^(2))was approximated to be 0.8 during the calibration and validation period.The model parameters in ungauged catchments were determined using the regional model(linear regression),sub-basin mean,area ratio,and spatial proximity methods,and the discharge was simulated using the HEC-HMS model.Linear regression was used in the prediction where p-value≤0.1,determination coefficient(R2)=0.91 for crop coefficient(CC)and 0.99 for maximum deficit(MD).Constant rate(CR),maximum storage(MS),initial storage(IS),storage coefficient(R),and time of concentration(TC)were obtained.The result is that an average of 30 m^(3)/s and 15 m^(3)/s as the maximum monthly simulated flow for ungauged sub-catchments,i.e.Denchiya and Mansa of the main river basin. | Habtamu Semunigus Demisse Abebe Temesgen Ayalew Melkamu Teshome Ayana Tarun Kumar Lohani | 2021 | Journal of Groundwater Science and Engineering2021，9，4： | 0 |
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