The HEC-HMS model for typhoon and rainstorm flood forecasting in typical river basins in the southeast coast
CHENG Hong1, CHEN Xingwei1,2,3
1. College of Geographical Sciences, Fujian Normal University, Fuzhou 350007; 2. Fujian Engineering Research Center of Land Disaster Monitoring and Assessment, Fuzhou 350007; 3. State Key Laboratory breeding Base of Humid Subtropical Mountain Ecology, Fuzhou 350007
Abstract:Located at southeast coast of China, the Xixi Basin is a mountainous river basin, and floods rise and fall steeply. Flood forecasting under the influence of typhoon and rainstorm is an important issue for flood prevention and mitigation. In this paper, the iterative asymptotic method was used to calibrate the key parameters of the HEC-HMS model with the flood events of the largest annual typhoon rainstorm flood from 2003 to 2012. An empirical relationship was established between the initial loss rate of the calibrated model parameters and the initial discharge, wave velocity and the maximum rainfall intensity. Then the relationships were verified with the largest annual flood from 2013 to 2015. The results showed that:①HEC-HMS model has strong applicability for the typhoon rainstorm flood in Xixi Basin. There are 9 calibration period floods, only 2 floods, the relative error of peak discharge is greater than 20%, The peak time difference is within 2 h, and the average efficiency coefficient is 0.82; During the verification period, the peak discharge error and flood volume error shall not exceed 20%. ②It provides a new method to apply the model to flood forecasting. The correlation coefficients of the established empirical relationships between the initial loss rate and the initial discharge, wave velocity and maximum 1-h average rainstorm intensity are 0.956 and 0.899, respectively. By applying the empirical relationships, the model parameters can be determined through the forecasts of the initial discharge and the rainstorm intensity, and the flood process and the peak flow can then be forecast with the model.
程红, 陈兴伟. 东南沿海典型流域台风暴雨洪水预报的HEC-HMS模型[J]. 中国防汛抗旱, 2022, 32(3): 61-65.
CHENG Hong, CHEN Xingwei. The HEC-HMS model for typhoon and rainstorm flood forecasting in typical river basins in the southeast coast. journal1, 2022, 32(3): 61-65.
[1] IPCC. Special report on global warming of 1.5℃[M].UK:Cambridge University Press, 2018. [2] EM-DAT. Human cost of disasters:an overview of the last 20 years (2000-2019). CRED Emergency Events Database, 2019[EB/OL].[s.n.] https://www.emdat.be/. [3] Shi J, Cui L, Tian Z. Spatial and temporal distribution and trend in flood and drought disasters in East China[J].Environmental Research, 2020, 185:109406. [4] Gao Y, Yu Y, Wang H, et al. Examining the effects of urban agglomeration polders on flood events in Qinhuai River basin, China with HEC-HMS model[J]. Water Science & Technology, 2017, 75(9):2130-2138. [5] 龚珺夫, 陈红兵, 朱芳, 等. 新安江模型在资料匮乏的长江中下游山区中小流域洪水预报应用[J]. 湖泊科学, 2021, 33(2):581-594, 650. [6] United States Department of Agriculture, Soil Conservation Service(USDA-SCS).National Engineering Handbook, Section 4-Hydrology[R].1985. [7] 邢子康, 马苗苗, 文磊, 等. HEC-HMS模型在缺资料地区山洪预报的应用研究[J]. 中国水利水电科学研究院学报, 2020, 18(1):54-61. [8] 胡国华, 陈肖, 于泽兴, 等. 基于HEC-HMS的郴江流域山洪预报研究[J]. 自然灾害学报, 2017, 26(3):147-155. [9] 邓霞, 董晓华, 薄会娟. 目标函数对HEC-HMS模型参数率定的影响研究[J]. 水电能源科学, 2010, 28(8):17-19. [10] 林峰, 陈莹, 陈兴伟, 等. 基于HEC-HMS模型的时间步长对次洪模拟的影响分析[J]. 山地学报, 2011, 29(1):50-54. [11] 刘传铭, 陈兴伟, 吴杰峰.HEC-HMS水文模型参数初损率和波速率定的循环渐近法[J]. 灾害学, 2017, 32(4):219-223. [12] Yan X, Lin M S, Chen X W, et al.A new method to restore the impact of land-use change on flood frequency based on the Hydrologic Engineering Center-Hydrologic Modelling System model[J].Land Degradation & Development, 2020, 31(12):1520-1532. [13] 陈芬, 陈兴伟, 谢剑斌. HEC-HMS模型次洪模拟的参数敏感性分析及应用[J]. 水资源与水工程学报, 2012, 23(5):119-122. [14] US Army Corps of Engineers. USACE HEC-HMS User's Guide and Utility Manuals[R]. 2000. [15] Lin M S, Chen X W, Chen Y, et al. Improving calibration of two key parameters in Hydrologic Engineering Center hydrologic modelling system, and analysing the influence of initial loss on flood peak flows[J].Water Science & Technology, 2013, 68(12):2718-2724. [16] 水利部水利信息中心. 水文情报预报规范:SL 250-2000[S]. 北京:中国水利水电出版社, 2000.