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作 者:万育安[1] 敖天其[2,3] 刘占洲[4] 尹芳[2] 文小平[2]
机构地区:[1]广东省江门市水利水电勘测设计院有限公司,广东江门529000 [2]四川大学水利水电学院,成都610065 [3]四川大学水力学与山区河流开发保护国家重点实验室,成都610065 [4]中国水电建设集团四川电力开发有限公司,成都610065
出 处:《北京师范大学学报(自然科学版)》2010年第3期322-328,共7页Journal of Beijing Normal University(Natural Science)
基 金:国家自然科学基金重点资助项目(50739002);四川省学术和技术带头人培养基金资助项目;教育部留学回国人员科研启动基金资助项目
摘 要:对于有积雪覆盖地区的径流预报来说,积雪融雪模型至关重要,它直接影响着水文模型的适用范围和模拟精度.建立了一种基于温度指标的可用于缺资料流域的积融雪模型,并与分布式水文物理模型BTOPMC进行耦合.通过在岷江上游流域的应用发现,考虑积融雪过程的BTOPMC模型平均纳希效率系数达到75.26%,而原BTOPMC模型平均纳希效率系数仅69.58%,提高了5.68%.通过比较径流模拟曲线发现,考虑积融雪后的BTOPMC模型在积雪期和融雪期的模拟流量与观测流量更为接近.The snow melt model plays a very important role in hydrological forecasting in snow covered areas, it directly affects the applicability and simulation accuracy of hydrological model. In this study,a degree-day factor snow melt model, which can be used in data poor basins, was developed, and coupled with the BTOPMC model,a physically-based distributed hydrological model.The improved BTOPMC model and original BTOPMC model were used to simulate the runoff of the upper reaches of the Minjiang River basin. The results show that the mean value of Nash coefficients of efficiency derived for the simulated flows from the improved BTOPMC reaches 75.26%, while the mean Nash coefficient of efficiency value calculated from the original BTOPMC is only 69.58%. Furthermore, the improved version of BTOPMC model is in better accordance with the observed discharge compared to the original model in snowcover period and snowmelt period
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