An urban inland river water level forecast and early warning method

Abstract

The present invention relates to a method for forecasting and early warning of urban inland river water levels. First, the distribution of urban historical waterlogging points is counted, and the set of waterlogging points is set as {M 1 ,M 2 ,...,M n}; According to the topological structure of the regional pipe network, find the outlet of the rainwater pipe network that discharges the accumulated water at the waterlogging point to the inland river, and set a warning section at the outlet position; then, based on the design method of the urban rainwater pipe network and the physical laws of urban drainage, through the warning The calculation method of water level, calculate the warning water level of different warning sections, take the water level of inland river as the critical condition of early warning of urban waterlogging disaster; determine the water level unit line of warning section; in the process of real-time forecast and early warning, calculate the warning water level based on rainfall forecast and water level unit line of warning section The section water level process is the water level forecast result under the corresponding rainfall process; when the predicted or measured warning section water level reaches the warning water level, this moment is the inland river water level warning time. The invention provides the calculation method of the warning water level for the waterlogging early warning scheme, and effectively reduces the urban waterlogging disaster loss.

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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