Application of HEC-HMS model for mountain flood forecasting in the Wushui Basin
ZOU Yang, HU Guohua, YU Zexing, GU Qingfu, CHEN Xiao, NING Maijin
1. College of Hydraulic Engineering, Changsha University of Science & Technology, 410114, Changsha, China;
2. Hunan Bureau of Hydrology and Water Resources Surveying, 410007, Changsha, China
Abstract：[Background] Mountain flood disaster often leads to heavy economic losses, even casualties. The integration of hydrological model system with Geographic Information System (GIS) and remote sensing technology provides a new perspective for mountain flood forecast. By using Wushui Basin in the Xiangjiang Basin as an example, this study investigated the application of HEC-HMS model for mountain flood.[Methods] Based on the land-use classifications derived from the 2010 TM remote sensing images, the mountain flood process was simulated by using semi-distributed hydrological model. According to the DEM and the outlet locations in the basin, the study area was divided into a set of sub-basins. The topographic information like the length of the river, sub-basin area, the longest flow path slope and other characteristic parameters were extracted by using remote sensing image and GIS technology. Meanwhile, the rainwater and the runoff database were established in the visual data storage system HEC-DSSvue. The rainfall and flow time series of typical floods in the period from 2000 to 2014 were interpolated and converted into regular time series based on the mathematical function of HEC-DSSvue. In addition, according to the actual situation of the study basin, the SCS runoff curve number extension was applied to calculate the runoff volume. The SCS unit hydrograph method and the exponential recession method were selected for calculating direct runoff and base flow. The Muskingum method was used to guide flow routing. Moreover, the model parameters were calibrated by the 17 observed flood events from 2000-2008, and the 10 observed flood events from 2009-2014 were used to validate the performance of the model. The good-of-fit between simulated and observed flood events were evaluated by using the relative error and the Nash-Sutcliffe coefficient.[Results] The results showed that the relative errors of peak flow were less than 20% and the time errors of peak flow were within 1 hour. the absolute average Nash-Sutcliffe coefficient was 0.816 in the rate period, indicating that the calibrated hydrological parameters in model were accurate and effective. Furthermore, There was only 10% of the 10 flood events having a relative error of peak flow more than 20% in the validation period. The time errors of peak flow in all the flood events were within 1 hour, the Nash-Sutcliffe coefficient of all the floods was larger than 0.7.[Conclusions] The simulated flow agreed well with the observed flow at the outlet of the Wushui Basin, and the model also performed well in the basin. In addition, compared to multi-peak flood, the HEC-HMS model showed a better performance in the simulation of single peak flood.
邹杨1, 胡国华1, 于泽兴1, 顾庆福2, 陈肖1, 宁迈进2. HEC-HMS模型在武水流域山洪预报中的应用[J]. 中国水土保持科学, 2018, 16(2): 95-102.
ZOU Yang, HU Guohua, YU Zexing, GU Qingfu, CHEN Xiao, NING Maijin. Application of HEC-HMS model for mountain flood forecasting in the Wushui Basin. SSWC, 2018, 16(2): 95-102.
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2018, Vol. 16 
