基于大型水库调节的晋江流域洪水模拟

发布时间：2018-02-28 03:09

本文关键词： HEC-HMS 大型水库多站点模拟暴雨次洪晋江流域　出处：《山地学报》2017年01期 　论文类型：期刊论文

【摘要】：为了进一步改善流域洪水空间变化与水库调节影响的模拟,应用分布式水文模型HEC-HMS,在考虑大型水库调节模拟的基础上,对东南沿海晋江流域的暴雨次洪进行多站点率定模拟分析。选取1972~1979年晋江流域15场特大暴雨洪水,以洪峰误差、洪量误差、峰现时间、效率系数为评价指标,进行10场参数率定和5场模型验证。安溪、洪濑、石砻三个水文站在模型率定期的平均效率系数分别为0.892、0.895、0.921,验证期的平均效率系数分别为0.866、0.822、0.853,模拟效果较好,精度较高。结果表明:利用多站点模拟的方法,可以从流域尺度上更客观地率定模型参数,改善模型的模拟效果;初损率与起涨流量相关性显著,为模型洪水预报应用时初损参数的确定提供重要依据;山美水库的径流调节对洪濑站和石砻站的模拟结果具有显著影响。
[Abstract]:In order to further improve the simulation of flood spatial variation and reservoir regulation, a distributed hydrological model, HEC-HMS, is applied to simulate the regulation of large reservoirs. This paper simulates and analyzes the secondary torrential torrential rain of Jinjiang basin in the southeast coast of China. From 1972 to 1979, 15 severe torrential rain floods in Jinjiang basin are selected, and Hong Feng error, flood volume error, peak time and efficiency coefficient are taken as the evaluation index. The average efficiency coefficients of Anxi, Hongse and Ishulong hydrological stations were 0.892m895 / 0.921, respectively, and the average efficiency coefficients during the verification period were 0.866m0.8222k0.853, respectively, and the simulation results were good for the three hydrologic stations, Anxi, Hongse and Isholong, respectively, during the period of verification, the average efficiency coefficients of the three hydrologic stations were 0.8920.895and 0.921, respectively. The results show that the model parameters can be determined more objectively from the basin scale by using the method of multi-station simulation, and the simulation effect of the model can be improved, and the correlation between the initial loss rate and the rising discharge is significant. It provides an important basis for determining the initial loss parameters in the application of model flood forecasting, and the runoff regulation of Shanmei reservoir has a significant influence on the simulation results of Hongse station and Shilong station.
【作者单位】：福建师范大学地理科学学院;福建省陆地灾害监测评估工程技术研究中心;湿润亚热带山地生态国家重点实验室培育基地;
【基金】：国家自然科学基金(41301031) 福建省高校产学合作科技重大项目(2015Y4002)~~
【分类号】：TV122;TV697.1

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