DocumentCode :
1703898
Title :
The study on runoff series prediction in Middle Yellow River
Author :
Tao, Bai ; Jian-xia, Chang ; Huang Qiang ; Xing-li, Tian
Author_Institution :
Key Lab. of Northwest Water Resources & Environ. Ecology of MOE, Xi´an Univ. of Technol., Xi´an, China
Volume :
2
fYear :
2011
Firstpage :
1028
Lastpage :
1031
Abstract :
Taking into account the severe impact of human activities, complex utilization requires and sensitive and fragile eco-environment, the Middle Yellow River is selected for runoff prediction object. Based on analysis of runoff characteristics and influencing factors, Threshold Auto-Regressive Model, improved Weng Model and Mixture Regression Model are established for the runoff series prediction of control station on the middle Yellow River, Xiaolangdi station. Through the evaluation of the prediction effect of models, Mixture Regression model´s superiority and rationality are proved. Finally, research trends and implication prospects of annual runoff prediction are reviewed.
Keywords :
autoregressive processes; hydrology; regression analysis; rivers; China; Middle Yellow River; Weng model; Xiaolangdi station; ecoenvironment; human activity impact; mixture regression model; runoff characteristics analysis; runoff series prediction; threshold autoregressive model; Adaptation model; Analytical models; Biological system modeling; Humans; Predictive models; Rivers; Water resources; Mixture Regression model; Xiaolangdi station; annual runoff series; prediction effect; the middle Yellow River;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-339-1
Type :
conf
DOI :
10.1109/ISWREP.2011.5893188
Filename :
5893188
Link To Document :
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