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研究的是唐家山地震次生灾害引发的堰塞湖问题.首先对数字高程地图进行等高图像分析求解了堰塞湖不同高程水位对应的湖区面积,建立了蓄水量体积与堰塞湖水位高程的离散化模型,然后建立了神经网络模型和多元线性回归模型研究了北川降雨量与堰塞湖入库流量的关系,继而求解得到不同降雨量下每日堰塞湖水位高程.在研究泄洪过程时,首先通过对泄洪过程和溃坝过程内在机理的研究分别建立了正交多项式逼近模型和仿真模型得到溃坝时的溃口流量随时间变化的关系,继而分析求解得到溃坝时其他参数随时间变化的关系.针对淹没区的问题,综合数字高程地图和行政区域地图,利用数字地图计算了洪水到达各被淹没区域的时间,淹没范围,以便于确定撤离方案.
This paper studies the dammed lake caused by the secondary disasters in Tangjiashan earthquake.Firstly, the contour image of the digital elevation map is used to solve the lake area corresponding to different elevation levels of the dammed lake, and the relationship between the volume of water storage and the level of dammed lake The discretization model of elevation is established, and then the neural network model and multivariate linear regression model are established to study the relationship between the rainfall in Beichuan and the inflow of dammed lake, and then the daily elevation of dammed lake water level under different rainfalls is obtained.In the study of flood discharge First of all, through the study of flood discharge process and the internal mechanism of dam break process, orthogonal relationship polynomial approximation model and simulation model are established respectively. The relationship between the collapse flow rate and the time of dam break is obtained, and then the other parameters such as Temporal relationship.According to the problem of inundation area, integrated digital elevation map and administrative area map, the time and flooding range of flood reaching each submerged area are calculated by digital map, so as to determine the evacuation plan.