Research On Application Of Multi-dimensional Coupling Simulation And Warning Model Of Waterlogging In Urban Area

In recent years,due to the frequent occurrence of extreme rainfall events in cities due to global climate change,the problem of urban waterlogging has seriously threatened the social and economic development of cities and the safety of people’s lives and properties.How to accurately simulate the location of flood-prone points and the depth of submerged water in urban areas after extreme rainfall,and then predict the risk of waterlogging,has become an urgent problem for urban development.This paper takes part of the central urban area of Shenzhen as the research object.By combing the waterlogging disasters in the study area in recent years,analyzing the causes of waterlogging,it is determined that the main causes of waterlogging in the study area are meteorological and topographical factors.The relevant theories and methods are explained,focusing on the actual situation of the drainage network data,terrain data and waterlogging information in the study area.Aiming at urban waterlogging disasters,the study area one-dimensional pipe network model,two-dimensional surface flow model,one,The two-dimensional coupling model simulates and analyzes the waterlogging disasters caused by extreme rainfall in the study area.The simulation results use typical rainfall data as the coupled model input rainfall conditions to simulate,verify the model simulation results,and at the same time according to the main meteorological disaster risk reminders in Shenzhen In the notice,the threshold value for the accumulation of water and rainfall in the streets of Shenzhen is determined.The simulation study area involves the verification site.The relative error method is used to analyze the reliability of the model.The relative error Within the allowable range,the simulated value is relatively close to the measured result,and the model parameters are set appropriately,which can objectively reflect the actual situation of the area.According to the rainstorm intensity formula of the study area,the designed rainfall scenarios are set up to analyze the impact of rainfall runoff in different return periods on the regional hydrological effects.Analyzed the changes in the area’s submerged area,the maximum water accumulation depth,and the node overflow and the overloaded operation of the pipeline.According to the simulation results,the larger impervious area is one of the important factors leading to the waterlogging in the study area.In addition,The pipe network standard is low,and the overflow of the inspection well is also an important factor in causing water accumulation.Under the heavy rain scenario with a return period of 100 years,the maximum submerged water depth of the study area is about 1.0m,mainly from Shennan Avenue and Caitian Road to Shennan The highway and Huanggang interchange;the minimum water depth is about 0.20 m,mainly distributed in the Caitian section.In view of the waterlogging risk warning and waterlogging simulation results,this paper builds the waterlogging warning model based on the visualization of power BI data.The rainfall forecast information in the urban area is combined with the disaster warning standards of the study area,and the rainfall scenario matching method is used to determine the urban waterlogging point(region)Carry out risk identification,extract the processed simulation results,and interactively display the waterlogging result warning data and the waterlogging information of the study area through data visualization technology.The main data displayed are the location of the waterlogging point,the depth of the waterlogging,and the maximum node.Overflow,regional inundation range,etc.,to achieve early warning of the waterlogging situation of extreme rainfall in the urban study area.