doi: 10.4304/jsw.9.2.437-442
Modeling and Prediction of Rainfall-runoff Relationship in the Yuanjiang, Red River Basin
- 1 Quality Development Institute, Kunming University of Science and Technology, Kunming, P. R. China
- 2 Engineering Research Center of Metallurgical Energy Conservation and Emission Reduction Ministry of Education, Kunming University of Science and Technology, Kunming, P. R. China
- 3 Hydrology & 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 (<em>n</em>>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 (<em>n</em>=2), and the previous work can’t be applied to predicting rainfall or runoff. So it was an in-depth study and got improved.
Keywords
- Distance
- Relationship
- Rainfall-runoff
How to Cite
Xiuli Sang, Song Gao, Jianxin Xu, Hua Wang, and 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. https://doi.org/ 10.4304/jsw.9.2.437-442
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).