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A New Random Generation Method of Rainfall Events

A technology of random generation and events, applied in random CAD, computer parts, CAD based on constraints, etc., can solve the problems of not reflecting the real situation of rainfall and insufficient simulation accuracy, and achieve the effect of improving efficiency and calculation accuracy

Active Publication Date: 2020-06-23
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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.

Method used

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  • A New Random Generation Method of Rainfall Events
  • A New Random Generation Method of Rainfall Events
  • A New Random Generation Method of Rainfall Events

Examples

Experimental program
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Effect test

Embodiment Construction

[0055] The technical scheme of the present invention will be described in further detail below through examples and in conjunction with the accompanying drawings.

[0056] Such as figure 1 Shown, the present invention relates to a kind of new random generation method of rainfall event, it comprises the following steps:

[0057] (1) The daily rainfall data of a certain station from 1962 to 2011 were collected for 50 years, and 2671 rainfall events were extracted according to the definition of rainfall events. Among them, small, medium, large and extreme rainfall events are included. Then the rainfall, rainfall duration and rainfall process line of these rainfall events are counted.

[0058] (2) Use the linear moment coefficient diagram and the K-S test to judge the distribution line type of rainfall and rainfall duration. In this example, the distribution line types used are: Pearson Type III distribution (P-III), 3-parameter-logarithmic distribution (LN3), 3-parameter-gener...

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Abstract

The present invention relates to a new random generation method of rainfall events, including: (1) according to the definition of rainfall events, segment the rainfall events, and extract the rainfall characteristics and rainfall process lines of the rainfall events; (2) randomly simulate the rainfall characteristics based on the Copula method (3) Based on the K-means cluster analysis method to classify the rainfall process lines, and introduce the effective clustering discriminant method to optimize the optimal classification number of rainfall types; (4) according to the occurrence probability of rainfall types, use The converted Monte Carlo method randomly generates rainfall patterns; (5) Using the multi-step combination method, the random simulated rainfall eigenvalues ​​and rainfall patterns are combined to reorganize rainfall events. The method of the present invention considers the dependence relationship between rainfall amount and rainfall duration, makes the simulation more in line with the actual situation, and improves the simulation accuracy; considers different rainfall patterns, and provides technical support for the government to adopt different water regulation and storage response strategies; it can significantly increase rainfall The sequence length of the event.

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 ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06K9/62G06F111/08G06F111/04
CPCG06F2111/04G06F2111/08G06F30/20G06F18/23213
Inventor 高超许月萍
Owner ZHEJIANG UNIV
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