Volume 9 Number 2 (Feb. 2014)
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JSW 2014 Vol.9(2): 437-442 ISSN: 1796-217X
doi: 10.4304/jsw.9.2.437-442

Modeling and Prediction of Rainfall-runoff Relationship in the Yuanjiang, Red River Basin

Xiuli Sang1, 2, 1, Song Gao1, 2, Jianxin Xu1, 2, Hua Wang2, Kun Zhang3
1Quality Development Institute, Kunming University of Science and Technology, Kunming, P. R. China
2Engineering Research Center of Metallurgical Energy Conservation and Emission Reduction Ministry of Education, Kunming University of Science and Technology, Kunming, P. R. China
3Hydrology & Water Resources Bureau of Yunnan, Kunming, P.R. China


Abstract—This paper found rainfall and runoff was in a state of chaos in Poincare section and developed a method for constructing a relationship model of rainfall-runoff based on time series analysis technology. It aimed at estimating and discussing the relationship of rainfall-runoff time series by Euclidean distance (n>2). A linear model was well built to illustrate time-correlation characteristics with the correlation coefficient 0.994, which was able to predict each other by obtaining one rainfall or runoff value. Analytical results verified the accuracy of this model. It is complementary research to our previous work which discussed the special situation (n=2), and the previous work can’t be applied to predicting rainfall or runoff. So it was an in-depth study and got improved.

Index Terms—Distance, Relationship, Rainfall-runoff, Similarity, Time series

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Cite: Xiuli Sang, Song Gao, Jianxin Xu, Hua Wang, Kun Zhang, "Modeling and Prediction of Rainfall-runoff Relationship in the Yuanjiang, Red River Basin," Journal of Software vol. 9, no. 2, pp. 437-442, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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