New random generation method of rainfall events

Abstract

The present invention relates to a new random generation method of rainfall events. The method comprises the following steps: (1) segmenting rainfall events according to the definition of rainfall events, and extracting rainfall characteristics and rainfall course lines of the rainfall events; (2) randomly simulating rainfall eigenvalues based on the Copula method; (3) based on the K-Means clustering analysis method, classifying the rainfall course lines, and introducing the clustering effective discriminant method to optimize the optimal classification number of rainfall patterns; (4) according to the appearance probability of the rainfall patterns, using the converted Monte Carlo method to randomly generate the rainfall patterns; and (5) using the multi-step combination method to combine the randomly simulated rainfall eigenvalues and the rainfall patterns to reconstruct the rainfall events. According to the method provided by the present invention, the dependency between the rainfall capacity and the rainfall duration are taken into account, so that the simulation is more in line with the actual situation and the simulation precision is improved; different rainfall patterns are taken into account, so that the technical support is provided for the government to take different response tactics for water allocation and storage; and the sequence length of the rainfall events can be significantly increased.

Description

technical field [0001] The invention relates to the technical field of random simulation of rainfall events, in particular to a new random generation method of rainfall events which combines rainfall classification simulation and rainfall characteristic simulation. Background technique [0002] Rainfall is an important component of the hydrological cycle, directly affecting infiltration, soil moisture and runoff processes. Rainfall event data is essential for water-related engineering research such as agricultural water withdrawal planning, reservoir and dam engineering construction, and sustainable use planning and management of water resources, and the length of rainfall event data directly affects the quality of these studies. reliability and accuracy. Therefore, it is very important to quickly and accurately simulate rainfall events to increase the sequence length. [0003] The simulation of rainfall events involves the number of occurrences, rainfall amount, rainfall ...

AI Technical Summary

Problems solved by technology

[0004] These traditional models only consider the characteristics of a certain aspect of rainfall events, but do not combine the dependent rainfall characteristic values ​​with rainfall patterns, which cannot reflect the real situation of rainfall occurrence, resulting in insufficient simulation accuracy.

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