River tidal bore subsection real time early warning method

Abstract

The invention relates to a river tidal bore segment real time early warning method. The present tidewater prediction method has great error. The method of present invention carries early warning forecast by utilizing historical data and real time information, and concretely includes steps of dividing the river by N detecting points, querying time of arriving a early warning point of traditional Chinese calendar date in past 5 to 15 years and time arriving the early warning point of yesterday, monitoring time of the tidewater to arrive at a previous detection point and time to arrive at a further previous detection point, estimating real time arriving time f1(TK-1), lag arriving time f2(Tyesterday, k) and average arriving time f3(Thistory, k) of the tidewater to arrive at a early warning point k, forecasting time Tk of the tidewater to arrive at the early warning point; detecting tidal bore height Hk-1 of the tidewater at a previous detection point, querying proportion relation of meanvalue of tidal bore height of the tidewater to arrive at the previous detection point at corresponding date in past 5 to 15 years and mean value of tidal bore height to arrive at the early warning point, and obtaining tidal bore height Hk of the tidewater at the early warning point. The method of the present invention not only eliminates indefinite factor influence of last day, but also realizes quantitative forecast early warning.

Description

technical field [0001] The invention belongs to the technical field of automation, and relates to a segmental real-time early warning method for river tide surges. Background technique [0002] Although many places have achieved remarkable results in the construction of natural disaster prediction, prevention and emergency response systems, the situation of natural disaster prevention is still severe in terms of the requirements of social and economic development. Especially with the development of society such as the rapid development of urbanization process, new problems are emerging one after another. For example, a river that was originally located in the periphery of the city has suddenly become the main artery of the city after a few years of urban development. She has been closely connected with the development and survival of the city. At this time, the safety issue also came to the fore. Especially in some rivers with tidal currents, this problem is particularly p...

AI Technical Summary

Problems solved by technology

However, the result of this is that the arrival time and water level height of the tide forecast will cause large errors, because the meteorological conditions and surface morphology are constantly changing

Moreover, through the layer-by-layer reporting from the lower-level departments to the higher-level departments and the communication from the upper-level departments to the lower-level departments, the information is no longer real-time.

Moreover, discrete manual early warning cannot meet the needs of many occasions, because the information before and after it is out of touch, and this method is also a huge waste of manpower and material resources.

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