HEC-HMS模型构建及其在恭城河流域洪水预报中的应用
发布时间：2018-12-11 05:12
【摘要】：广西地处我国南部低纬度地带,地质构造复杂,年降雨量丰富,山洪灾害发生频繁,是我国山洪灾害多发区中较严重的省份。而对广西山洪灾害较严重的地区建立有效的山洪灾害预警预报方法是山洪灾害防治的重点和难点。 本研究以广西壮族自治区桂林市恭城县恭城河恭城水文站控制的流域范围为研究对象,收集流域内5个雨量站降雨资料和恭城站的降雨径流资料,分析恭城河流域的降雨和径流特性；收集整理恭城河流域部分山洪灾害场次的各时段暴雨特征值,分析流域内山洪灾害的成因及特征,计算恭城流域单站和区域面临界雨量,作为无洪水预报模型方案下洪水预警指标,并分析比较两种临界雨量计算方法的优缺点。 对于山洪预报模型的构建,本研究基于恭城河流域DEM数字高程模型和地理信息系统平台,提取流域的水网和子流域等数字流域信息,收集流域内的土地利用类型和土壤类型等信息,构建两种HEC-HMS水文模型方案——方案一：初损后损法、Snyder单位线法、退水曲线法、马斯京根法；方案二：SCS曲线法、SCS单位线法、退水曲线法、马斯京根法。应用上述两套方案分别对恭城河流域的15场率定期洪水和4场验证期洪水的降雨-径流过程进行模拟。模拟结果表明,无论在洪峰流量精度、径流深精度、峰现时差和确定性系数上,方案一都略优于方案二。两种方案都满足《水情预报规范》的要求,表明HEC-HMS水文模型适用于恭城河流域的山洪灾害预报,可应用于实际的山洪灾害预报工作。最后,本次研究总结分析了影响恭城河流域山洪预报精度的原因,提出今后进一步深入研究的思路和想法。
[Abstract]:Guangxi is located in the low latitudes of southern China, with complicated geological structure, abundant annual rainfall and frequent mountain torrents. Guangxi is one of the most serious provinces in China. It is an important and difficult point to establish an effective method for early warning and forecasting of mountain torrents in the areas with serious mountain torrents in Guangxi. In this study, the watershed range controlled by Gongcheng River Hydrologic Station in Gongcheng County, Guilin City, Guangxi Zhuang Autonomous region was taken as the research object, and rainfall data of 5 rainfall stations and rainfall runoff data of Gongcheng Station were collected. The characteristics of rainfall and runoff in Gongcheng River Basin are analyzed. Collect and sort out the rainstorm characteristic values of some mountain torrents in Gongcheng River Basin, analyze the causes and characteristics of mountain torrents in the basin, calculate the rainfall of the single station and the region in Gongcheng River Basin, and analyze the characteristics of the torrential disasters in the river basin. As an index of flood warning under the scheme of no-flood forecasting model, the advantages and disadvantages of two critical rainfall calculation methods are analyzed and compared. For the construction of mountain flood forecasting model, based on the DEM digital elevation model and GIS platform of Gongcheng River Basin, the digital watershed information such as water network and sub-watershed are extracted. Based on the information of land use type and soil type in watershed, two kinds of HEC-HMS hydrological model schemes were constructed: first, initial loss method, Snyder unit line method, regression curve method, Masking root method; Scheme two: SCS curve method, SCS unit line method, water receding curve method, Muskinggen method. The two schemes mentioned above are used to simulate the rainfall runoff process of 15 periodic floods and 4 validation floods in the Gongcheng River basin. The simulation results show that the first scheme is slightly better than the second scheme in terms of Hong Feng discharge accuracy, runoff depth accuracy, peak time difference and deterministic coefficient. Both schemes meet the requirements of the Water regime Forecast Code, which indicates that the HEC-HMS hydrological model is suitable for the mountain flood disaster prediction in the Gongcheng River Basin and can be applied to the actual mountain flood disaster forecasting work. Finally, this study summarizes and analyzes the reasons that affect the accuracy of mountain flood forecasting in the Gongcheng River Basin, and puts forward some thoughts and ideas for further research in the future.
【学位授予单位】：广西大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：P338
本文编号：2371938
[Abstract]:Guangxi is located in the low latitudes of southern China, with complicated geological structure, abundant annual rainfall and frequent mountain torrents. Guangxi is one of the most serious provinces in China. It is an important and difficult point to establish an effective method for early warning and forecasting of mountain torrents in the areas with serious mountain torrents in Guangxi. In this study, the watershed range controlled by Gongcheng River Hydrologic Station in Gongcheng County, Guilin City, Guangxi Zhuang Autonomous region was taken as the research object, and rainfall data of 5 rainfall stations and rainfall runoff data of Gongcheng Station were collected. The characteristics of rainfall and runoff in Gongcheng River Basin are analyzed. Collect and sort out the rainstorm characteristic values of some mountain torrents in Gongcheng River Basin, analyze the causes and characteristics of mountain torrents in the basin, calculate the rainfall of the single station and the region in Gongcheng River Basin, and analyze the characteristics of the torrential disasters in the river basin. As an index of flood warning under the scheme of no-flood forecasting model, the advantages and disadvantages of two critical rainfall calculation methods are analyzed and compared. For the construction of mountain flood forecasting model, based on the DEM digital elevation model and GIS platform of Gongcheng River Basin, the digital watershed information such as water network and sub-watershed are extracted. Based on the information of land use type and soil type in watershed, two kinds of HEC-HMS hydrological model schemes were constructed: first, initial loss method, Snyder unit line method, regression curve method, Masking root method; Scheme two: SCS curve method, SCS unit line method, water receding curve method, Muskinggen method. The two schemes mentioned above are used to simulate the rainfall runoff process of 15 periodic floods and 4 validation floods in the Gongcheng River basin. The simulation results show that the first scheme is slightly better than the second scheme in terms of Hong Feng discharge accuracy, runoff depth accuracy, peak time difference and deterministic coefficient. Both schemes meet the requirements of the Water regime Forecast Code, which indicates that the HEC-HMS hydrological model is suitable for the mountain flood disaster prediction in the Gongcheng River Basin and can be applied to the actual mountain flood disaster forecasting work. Finally, this study summarizes and analyzes the reasons that affect the accuracy of mountain flood forecasting in the Gongcheng River Basin, and puts forward some thoughts and ideas for further research in the future.
【学位授予单位】：广西大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：P338
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