Sensitivity and Uncertainty Impact Analysis of Different Objective Functions on the Parameters of Xin'anjiang Model
The choice of objective function affects the parameterization results of watershed hydrological models.In order to deeply in-vestigate the effects of different objective functions on the sensitivity and uncertainty of hydrological model parameters and the uncer-tainty of runoff simulation results,this paper takes the daily runoff simulation of Jinxi Chitan watershed in Fujian Province as an ex-ample,and uses the SCEM-UA optimization algorithm to rate the three-source Xin'anjiang model,and selects Nash efficiency coeffi-cient(f1),root mean square error(f2)and Kling-Gupta efficiency coefficient(f3)are selected as the objective functions of parameter rate,and a combined multi-objective function F1,F2 and F3 with preferences for f,f2 and f3 are also constructed for a total of six rate ob-jectives to compare the differences in runoff simulation accuracy with different rate objectives.And the Sobol global sensitivity analysis method was used to quantitatively compare and analyze the sensitivity of the Xin'anjiang model parameters with different objective func-tions.Finally,this study analyzed the differences in runoff simulation uncertainties with different flow levels and abundant and dry peri-ods based on the GLUE method.The results show that:(1)under six objective functions,the main sensitive parameters of Xin'an River model are identified with the same results;(2)F1,F2,and F3 show higher runoff simulation accuracy than the single objective function;(3)Under different hydrological periods and different flow levels,f1 shows higher coverage and smaller uncertainty intervals than other objective functions.The uncertainty of the parameters in the dry period is minimized under different objective functions,and the uncertainty of the runoff simulation increases with the increase of flow level.
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维普
