DocumentCode :
2045781
Title :
The Annual Runoff Forecasting Research Based on the Theory of Cointegration and Error Correction Model
Author :
Zhang, Li-ping ; Song, Xingyuan ; Sheng, Tieyuan ; Peng, Tao
Author_Institution :
State Key Lab. of Water Resources & Hydropower Eng. Sci., Wuhan Univ., Wuhan
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
An annual runoff forecasting method is presented based on unit root test, cointegration test and error correction model of the upper and lower reaches of the Second Songhua River. The method of cointegration analysis is applied to the annual runoff data of the Baishan and Fengman hydrology Stations; then the error correction model is set up, which can predict the annual runoff of Fengman hydrology Station from 1989 to 1998. The results show that the model based on cointegration analysis and error correction is suitable in runoff forecasting.
Keywords :
forecasting theory; hydrology; rivers; time series; Baishan hydrology station; Fengman hydrology station; annual runoff forecasting method; cointegration test; error correction model; second Songhua river; time series; unit root test; Electrochemical machining; Error correction; Hydrology; Laboratories; Predictive models; Rivers; Testing; Time series analysis; Water resources; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
Type :
conf
DOI :
10.1109/IWISA.2009.5073163
Filename :
5073163
Link To Document :
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