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中文摘要：
为了减小水文模型参数优化中人工试错法和局部优化法的不确定性,以一种快速有效的优化方法搜索到水文模型参数的全局最优解。以安徽呈村流域为例,使用SCE-UA算法对新安江模型参数进行优化,日模型和次洪模型分别采用总体水量误差和对数绝对值误差作为目标函数,分析优化结果并对优化参数进行检验。经检验分析,日模型检验期确定性系数均达到0.8,次洪模型检验期确定性系数接近0.9。研究结果表明,采用SCE-UA算法优化新安江模型参数可以取得较好结果,目标函数的选择对参数优化有着重要作用。
英文摘要：
In order to find the globally optimal parameters of a hydrological model rapidly and effectively, and to reduce the uncertainty caused by the manual trial and error and local optimization methods, a ease study was conducted in the Chengeun watershed, in Anbui Province, using the SCE-UA algorithm to optimize the parameters of the Xin＇ anjiang model. The total water quantity balance error and logarithm absolute error were chosen as the objective functions of daily simulation and hourly simulation, respectively. The optimized parameters that were verified show that the Nash-Sutteliffe coefficient was 0.8 for daily simulation and approximately 0.9 for hourly simulation in the validation period. The results show that the SCE-UA algorithm is capable of optimazing the Xin＇ anjiang model parameters, and the selection of the objective function is important for parameter optimization.
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Inter-annual variation of streamflow, precipitation and evaporation in a small humid watershed (Chen
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