摘要
以碧流河流域为研究对象,基于1978年～2011年碧流河水文站资料,利用SWAT模型模拟该流域径流,利用SUFI-2算法依据精度评价指标(PBIAS、E_(ns)和R^2)以及不确定性评价指标(P-factor、R-factor)进行评价分析。结果显示,按敏感性降序排列参数为CN_2、SOL_AWS、GW_REVAP、GW_REVAP、GWQM等;率定/验证期R^2=0. 92/0. 91,E_(ns)=0. 91/0. 90,PBIAS <5%,P-factor=0. 88/0. 91,R-factor=0. 61/0. 61。该流域利用自动率定获得敏感性排序,且在不确定性综合较小情况下,除径流极值模拟不太理想(比实际值偏小)外,流量过程模拟良好。
Taking Biliu River Basin as research object, the SWAT model is used to simulate the runoff based on the data of Biliuhe Hydrological Station from 1978 to 2011, and the SUFI-2 algorithm is used to evaluate the simulation based on accuracy evaluation index( PBIAS, Ens and R2) and uncertainty evaluation index( P-factor, R-factor). The results show that the descending order of sensitivity parameters is CN2, SOL AWS, GW REVAP, GW REVAP and GWQM, and in calibration/verification period index, R2= 0. 92/0. 91, Ens= 0. 91/0. 90, PBIAS < 5%, P-factor = 0. 88/0. 91, R-factor = 0. 61/0. 61. In this basin, the sensitivity sequencing is obtained by using automatic rate determination. In addition to runoff extreme simulation effect is not ideal( smaller than actual value), the simulation process and natural runoff process is consistent.
作者
刘宁
张霞
祝雪萍
赵志怀
武鹏林
LIU Ning;ZHANG Xia;ZHU Xueping;ZHAO Zhihuai;WU Penglin(College of Water Resources Science and Engineering,Taiyuan University of Technology,Taiyuan 030024,Shanxi,China)
出处
《水力发电》
北大核心
2019年第3期18-22,89,共6页
Water Power
基金
国家自然科学基金资助项目(51509176)
山西省自然科学基金资助项目(201601D021086
2016011054)
