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