To solve the rate of uncertainty during the artificial trial of hydrological model and explore parameter estimation of global optimal solution,Shuffled Complex Evolution-University of Arizona (SCE-UA)algorithm is applied to optimize the parameters of both three-component Xin＇anjiang model and vertically-mixed runoff model in this paper. The optimization process has developed two-model parameters boundary and selected SCE-UA algorithm parameter chiefly containing the complex number of p and established the objective function based on three elements of peak,magnanimity,flow process. By case analysis,the result shows that SCE-UA algorithm is applicable to both three-component Xin＇anjiang model and vertically-mixed runoff model parameters adjustment and the precision under SCE-UA optimization of vertically-mixed runoff model is higher than those of three-component Xin＇anjiang model.
WANG Wei, FENG Zhong-lun, YANG Wei, LIN Hong-xiao, WANG Gang, DIAO Yan-fang.
Application of SCE-UA algorithm to optimization of Xin'anjiang and vertically-mixed runoff model parameters[J].China Rural Water and Hydropower, 2017(3): 26-30
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