Flood staging determination method based on multiple characteristic indexes

Abstract

The invention discloses a flood staging determination method based on multiple characteristic indexes. The method comprises the following steps of dividing calculation time periods, selecting multi-feature indexes, constructing a projection index function, solving an optimal projection direction, calculating projection values of all the time periods and determining flood stages through ordered clustering. The method comprises the following steps: a projection index function is established by adopting a plurality of characteristic indexes capable of reflecting drainage and flood characteristics of a drainage basin on the basis of clearing the flood season duration of the drainage basin; then, through an accelerated genetic algorithm, a projection value which enables the projection index function to reach an optimal value is found, and through an ordered clustering analysis method, clustering analysis is carried out on the projection value; therefore, the flood staging is determined more objectively, and the defects of single analysis factor and subjective arbitrariness in a conventional analysis method are effectively avoided.

Description

technical field [0001] The invention relates to the technical field of hydrological calculation, in particular to a method for determining flood stages based on multi-feature indicators. Background technique [0002] In recent years, with the improvement of hydrometeorological forecasting and forecasting, the forecast period and forecasting accuracy of flood forecasting have been improved to a certain extent, making it possible for water conservancy projects to rationally utilize flood resources and exert comprehensive benefits. When it is predicted that there will be no major floods in the near future, the reservoir can properly store small and medium-sized floods to reduce the discharge flow, which will not have a great impact on the storage capacity required for major floods that may occur in the later period, and can also control the downstream mainstream to not exceed the warning water level, effectively reducing the downstream flood pressure. It is an important way to...

AI Technical Summary

Problems solved by technology

Among them, the analysis of weather causes is based on the hydrological and meteorological analysis of the watershed, and the flood season is divided into stages according to the climate characteristics of the watershed. However, for watersheds with large catchment areas, the combination of disaster-causing weather is complicated, resulting in a large workload for this method. And staging is subjective

The mathematical statistical method generally uses the annual distribution statistics of the largest flood in the year, which is relatively simple and practical, but in the specific analysis process, the critical value needs to be selected, which is also subjective, and it is difficult to subdivide the flood season. The characteristic factors are used as the basis for staging, and there is no organic combination of meteorological factors such as precipitation, and the integrity is not enough

To sum up, the above two flood staging methods have their own advantages and disadvantages, both of which have certain subjectivity, and cannot objectively determine the flood staging.

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