Urban inland inundation prediction method and device

Abstract

The invention provides an urban inland inundation prediction method and device. The method comprises the steps of performing hydrological analysis on a to-be-predicted city to determine a first mapping relationship between the ponding amount of each low-lying point in the to-be-predicted city and the corresponding ponding depth, and the percentage of the area of each low-lying point in the sum ofthe areas of all the low-lying points; performing big data analysis on the historical water circulation monitoring data of the to-be-predicted city to determine a second mapping relationship between the regional waterlogging water accumulation amount of the to-be-predicted city and the corresponding regional precipitation amount; predicting the regional waterlogging water accumulation amount of the rainfall according to the second mapping relationship; and according to the respective corresponding percentage of each low-lying point, distributing the waterlogging water accumulation amount in the rainfall area to each low-lying point, and according to the respective corresponding first mapping relationship of each low-lying point, determining the respective water accumulation depth of each low-lying point in the rainfall area. The rainfall is monitored to a certain extent, and the possibility of causing urban inland inundation is predicted according to the rainfall.

Description

technical field [0001] This application relates to the field of urban risk early warning, in particular to a method and device for urban waterlogging prediction. Background technique [0002] In recent years, with the rapid development of urbanization, the size of the city has gradually begun to expand, but some water safety problems have also followed, such as in the case of extreme severe weather, and the emergency response capacity of the urban emergency system is not enough When dealing with these extreme severe weather, it will seriously affect and interfere with the life and production of residents, and even cause huge losses to people's property. More specifically, for example, when there is a sudden rainstorm or heavy rainfall, the drainage capacity of the urban drainage system is not enough to discharge the precipitation in time during the precipitation period, which may cause serious waterlogging, such as the "urban flooding" that has occurred frequently in recent ...

AI Technical Summary

Problems solved by technology

The pure mechanism model prediction method is limited by the long time of model calculation, inaccurate grasp of the basic background data of the city, and the limited ability of meteorological professionals, which makes it difficult to scientifically, accurately and effectively predict whether urban waterlogging will occur Forecasting; forecasting by meteorologists based on empirical knowledge is less convincing and less likely to be accurate

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