基于UE5的洪水淹没范围高精度可视化模拟及验证研究OA

In order to improve the clarity of the visualisation of the dynamic simulation of flood evolution and to enhance the efficiency of disaster emergency response,this study proposes a flood extent visualisation method based on Unreal Engine 5(UE5).This method combines the shallow water equation(SWE)hydrodynamic model with virtual simulation technology to construct a three-dimensional terrain model using unstructured discrete grids and multi-source data,such as remote sensing images and terrain point clouds.It also uses Fluid Flux to calculate the fluid motion process and achieve high-precision flood visualisation.By defining spatial anchor points for data measurement,we can compare and analyse the simulated and measured flood inundation ranges.The results show that the ranges agree 98.14%of the time.In addition,this study uses C language and blueprint node hybrid programming based on the triangular dissection algorithm and vector fork multiplication principle to dynamically extract the inundation boundary.This allows the surface inundation area to be calculated in real time with a deviation rate of≤1.86%.The findings show that the method can accurately represent flood propagation characteristics in complex terrain and show the trend of flood propagation along valleys.It provides decision makers with intuitive and accurate views of flood evolution.In terms of accurate simulation,the matching error between the simulated inundation area and the actual affected area is less than 2%,confirming the validity and reliability of the method.This study supports the interactive derivation of water flow paths in 3D scenes and updates the flood inundation area based on dynamic data.This provides strong visual decision support for planning flood evacuation routes and optimising flood control projects.