Long Term Forecast of Annual Maximum Peak Discharge at Yangtze Three Gorges Based on Fuzzy Method

Author

Hu, G.H. ; Sun, S.Q. ; Yin, X.

Author_Institution

Hunan Provicial Key Lab. of Water & Sediment Sci., Water Disaster Prevention, Changsha

Volume

1

fYear

2008

fDate

20-22 Oct. 2008

Firstpage

899

Lastpage

903

Abstract

A fuzzy model of pattern recognition was established in combining cause-and-effect and statistical analysis with fuzzy analysis, choosing predictors such as rainfall and atmospheric circulation in previous stage which effect the annual maximum peak discharge at Yichang Station of the Yangtze River, giving different weightings to the forecast factors, and making a yearly prediction of annual maximum peak discharge. The results of calculation show that the model is highly effective and the qualified rate of yearly prediction from 1997 to 2004 reaches 100%, the average percentage error is 10%, the simulative error of model is 8.0%.

Keywords

forecasting theory; fuzzy set theory; natural resources; pattern recognition; rivers; statistical analysis; Yangtze River; Yangtze Three Gorges; annual maximum peak discharge; cause-and-effect; fuzzy method; pattern recognition; statistical analysis; Atmospheric modeling; Eigenvalues and eigenfunctions; Fuzzy logic; Fuzzy systems; Pattern analysis; Pattern recognition; Predictive models; Rivers; Statistical analysis; Water resources;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on

Conference_Location

Hunan

Print_ISBN

978-0-7695-3357-5

Type

conf

DOI

10.1109/ICICTA.2008.463

Filename

4659618