Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Medium and long term hydrologic forecasting method based on empirical mode decomposition

A technology of empirical mode decomposition and hydrological forecasting, which is applied in the fields of instrumentation, calculation, electrical digital data processing, etc., and can solve the problem of low prediction accuracy

Inactive Publication Date: 2014-10-08
CHANGAN UNIV +2
View PDF2 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a medium- and long-term hydrological forecast method based on empirical mode decomposition, which has simple steps, convenient implementation, easy operation, good use effect, and can effectively solve the above-mentioned deficiencies in the prior art. The problem of low prediction accuracy of existing hydrological forecasting methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Medium and long term hydrologic forecasting method based on empirical mode decomposition
  • Medium and long term hydrologic forecasting method based on empirical mode decomposition
  • Medium and long term hydrologic forecasting method based on empirical mode decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] Such as figure 1 A medium- and long-term hydrological forecasting method based on empirical mode decomposition is shown, including the following steps:

[0072] Step 1. Establishment of the hydrological forecast model, using data processing equipment to establish the hydrological forecast model of the predicted watershed, the process is as follows:

[0073] Step 101, Empirical Mode Decomposition: Call the Empirical Mode Decomposition module to perform empirical mode decomposition on the hydrological time series s(t) of the predicted watershed, and obtain n eigenmode function components F j and a trend term r n , and n eigenmode function components F j and a trend term r n are discrete functions.

[0074] in, And it contains the measured annual runoff data of the predicted basin for M consecutive years, (y 0 +i) is the year and y 0 is the initial year, is the i-th annual runoff data in the hydrological time series s(t) and it is the year (y 0 +i) measured annu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a medium and long term hydrologic forecasting method based on empirical mode decomposition. The medium and long term hydrologic forecasting method based on empirical mode decomposition comprises the steps that firstly, a hydrologic forecasting model is built according to the following procedures of (101) empirical mode decomposition, wherein empirical mode decomposition is carried out on a hydrologic time sequence s(t) of a forecast drainage basin, (102) kernel principle component analysis, wherein kernel principle component analysis is carried out on n intrinsic mode function components Fj obtained through empirical mode decomposition and a trend item rn, and p main components F'k are extracted, (103) building of a training sample set, wherein the training sample set is built according to the extracted p main components F'k, (104) building of a support vector machine model, and (105) training of the support vector machine model; secondly, annual runoff data of the years needing forecasting are forecast through the built hydrologic forecasting model. The medium and long term hydrologic forecasting method based on empirical mode decomposition is simple in step, convenient to realize, easy and convenient to operate, good in use effect and capable of effectively resolving the problem of low forecasting accuracy of an existing hydrologic forecasting method.

Description

technical field [0001] The invention relates to a hydrological forecasting method, in particular to a mid- and long-term hydrological forecasting method based on empirical mode decomposition. Background technique [0002] Studying the trend and direction of hydrological evolution in the basin, mastering the characteristics and laws of hydrological sequence changes, and scientifically and rationally carrying out hydrological forecasting, especially medium and long-term hydrological forecasting, and then guiding the management and development and utilization of water resources in the basin, and promoting social and economic development. very important. Since the hydrological evolution of the basin is disturbed by factors such as human activities and climate change, the long-term evolution of the hydrological process is characterized by obvious complexity and uncertainty. The law of hydrological evolution is the result of the comprehensive action of various influencing factors...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 吕继强赵丹姜毅王战平韩波陈重海
Owner CHANGAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products