Urban inland river water level forecasting and early warning method

Abstract

The invention relates to an urban inland river water level forecasting and early warning method comprising the steps of: firstly, obtaining the urban historical waterlogged point distribution, and setting a waterlogged point set of {M1, M2,..., Mn}; according to a regional pipe network topological structure, searching out an outlet of a rainwater pipe network through which the accumulated water at the waterlogged points is discharged to an inland river, and setting a warning section at the outlet location; then, based on a urban rainwater pipe network design method and a urban drainage physical law, calculating the warning water levels of different warning sections by a warning water level calculation method, and using an inland river water level as an early warning critical condition for urban inland inundation disasters; determining a warning section water level unit line; in a real-time forecasting and warning process, calculating a warning section water level process, based on a rainfall forecast and the warning section water level unit line, as a water level forecast result under the corresponding rainfall process; when the forecasted or actually-measured warning section water level reaches the warning water level, determining the moment as an inland water level warning moment. The method provides a warning water level calculation method for an inland inundation early warning program, and reduces the urban inland inundation losses.

Description

technical field [0001] The invention relates to the field of urban waterlogging prevention and control, in particular to a method for forecasting and early warning of urban inland river water levels. Background technique [0002] In recent years, affected by global climate change, extreme weather such as torrential rains and torrential rains have occurred frequently, coupled with the continuous increase of urban impermeable areas and the lagging of infrastructure construction such as drainage and waterlogging, urban waterlogging has become one of the most serious disasters affecting the normal production and life of cities. . The establishment of a scientific and reasonable urban waterlogging forecast and early warning system can predict the temporal and spatial changes of urban waterlogging in advance, which is conducive to the decision-making department to make quick, timely and efficient emergency response, prevent the occurrence of urban waterlogging disasters or the exp...

AI Technical Summary

Problems solved by technology

[0003] At present, most urban waterlogging forecasting and early warning technologies are based on the construction of urban hydraulic models. There are two major problems. On the one hand, because most cities have not yet established a complete hydrological monitoring system, historical hydrological measurement data are scarce, especially the real-time flow of urban rivers. The monitoring technology is immature, and there is almost no river flow data

However, the calculation accuracy of the urban hydraulic model needs a large amount of hydrological data, especially flow data to verify, and the lack of data is difficult to support the accuracy of the model calculation results, so it is difficult to apply it in practice

On the other hand, since the urban hydraulic model needs to couple multiple elements such as rainwater pipe network, two-dimensional terrain, and inland water system, its calculation speed is relatively slow under the premise of ensuring a certain accuracy, and the urban flow generation and confluence area is small, and the impervious rate is relatively large , the production and confluence speed is extremely fast, and the calculation speed of the model is difficult to meet the requirements of the decision-making department's response speed for the foreseeable period

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