Multi-model integrated flood forecasting method based on propagation time clustering analysis

A propagation time and flood forecasting technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as changes in flood propagation time, different emphases, and large changes in rainfall, and achieve ideal prediction accuracy. The method is simple and effective

Inactive Publication Date: 2014-04-16
HOHAI UNIV
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Problems solved by technology

[0004] Different flow rates and different water flow velocities lead to changes in the propagation time of floods, and large changes in the amount of rainfall in different time periods, which ev

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  • Multi-model integrated flood forecasting method based on propagation time clustering analysis
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  • Multi-model integrated flood forecasting method based on propagation time clustering analysis

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[0023] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0024] The present invention aims at the deficiency of the existing single time series prediction model, as well as the inaccurate prediction of high flow peaks and the phenomenon of "delay" in the prediction of floods, and proposes a multi-model integrated flood based on propagation time cluster analysis The forecasting method is different from the conventional traffic classification and prediction idea. The present invention divides the model based on propagation time, decomposes the entire sequence into several groups through clustering, and establishes different sub-models for traffic with different propagation time distributions.

[0025] The multi-model integrated flood forecasting method based on propagation time clustering analysis of the present invention is the same as the prior art, and both include a training phase and a testing phase, and it...

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Abstract

The invention discloses a multi-model integrated flood forecasting method based on propagation time clustering analysis and belongs to the technical field of hydrologic forecasting. The method includes adopting a derived dynamic time warp matching method for floor process similarity analysis; estimating flow propagation time of each station in the upstream and the downstream; decomposing a sample into a plurality of clusters by performing clustering analysis on the flow propagation time; respectively building an SVM regression model for each sub-flow sequence to simulate the flood forming process; combining the sub-models into a comprehensive model. Comparing a comprehensive forecasting result acquired by the method with a model forecasting result acquired by a single model under conventional conditions and on the basis of flow clustering, the comparison result shows that the comprehensive model is better in comprehensive performance.

Description

technical field [0001] The invention relates to a flood forecasting method, in particular to a multi-model integrated flood forecasting method based on propagation time cluster analysis, and belongs to the technical field of hydrological forecasting. Background technique [0002] In hydrological time series forecasting and analysis, runoff forecasting is a classic hydrological problem, which is of great significance to water resource allocation management and flood control and disaster reduction scheduling decisions. However, due to the comprehensive influence of upstream site flow, climate and underlying surface and other factors, the flow often shows complex nonlinear and non-stationary characteristics. [0003] At present, there are many methods for hydrological time series forecasting, among which the simplest is the linear model forecasting method, such as AR, ARMA and so on. However, it is difficult to achieve good results by using linear models to predict nonlinear t...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 李士进朱跃龙姜玲玲王亚明王继民万定生冯钧
Owner HOHAI UNIV
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