湖泊科学2011，Vol.23Issue(4)：626-634,9.
新安江模型参数全局优化——以月潭流域为例
Parameter global optimization of the Xinanjiang model: A case of Yuetan Basin
摘要
Abstract
The SCE-UA global optimization method was used for the Xinanjiang model parameter calibration on the Yuetan basin. The results reveal that the parameter optimization results are stable when using the ideal calibration data. However, for the observed calibration data, SCE-UA method can't get the only and stable parameter set for sure; In the Xinanjiang watershed model for daily simulation, the Water Quantity Balance Error and Deterministic Coefficient are two best objective functions and in the Xinanjiang watershed model for hourly simulation, the Absolute Logarithm Error is the best objective function; In order to get the stability parameter set, more than 12 years' actual data is needed; then the objective optimization theory which advanced by ZHAO Renjun has been introduced and combined with the SCE-UA method, and the results reveal that the parameter optimization results are more stable than the way that didn't use this theory.关键词
全局优化方法/新安江模型/参数优化/客观优化方法/月潭流域Key words
Global optimization method/ Xinanjiang watershed model/ Parameter optimization/ Objective optimization theory/ Yu-etan Basin引用本文复制引用
辛朋磊,李致家,汤嘉辉,吴勇拓..新安江模型参数全局优化——以月潭流域为例[J].湖泊科学,2011,23(4):626-634,9.基金项目
国家自然科学基金项目(50479017)、博士点基金项目(2009009411005)和教育部长江学者和创新团队发展计划项目(IRT0717)联合资助. （50479017）
