Annual Runoff Forecasting Based on Wavelet De-Noising SPA Model

Ai Yun Li; Jia Hai Lu

doi:10.4028/www.scientific.net/AMR.356-360.2301

Paper Titles

Biological Evaluation of Three Types of Inshore Pollution in Dalian City Using Ulva pertusa as Indicator
p.2278

Three-Dimensional Simulation for Perikinetic Flocculation of Fine Sediment under the Ionization in Still Water
p.2282

Implicit Bidiagonal Numerical Scheme for Simulation of 2D Flood Waves
p.2293

Research on the Factors of Introducing Chloride Ion of Hydraulic Support Transmission Medium and the Controlling Ways
p.2297

Annual Runoff Forecasting Based on Wavelet De-Noising SPA Model
p.2301

Evapotranspiration Retrieval in Arid and Semi-Arid Areas
p.2307

Evapotranspiration Estimates from Eddy Covariance Tower in Arid and Semi-Arid Areas
p.2312

Optimal Operation of Complicated Giant Hydropower Stations Based on Decomposition-Coordination Method
p.2316

Groundwater Hydrograph Patterns in North China Plain during 1982-1986 Interpreted Using Principal Component Analysis
p.2320

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 356-360Annual Runoff Forecasting Based on Wavelet...

Annual Runoff Forecasting Based on Wavelet De-Noising SPA Model

Abstract:

The annual runoff forecasting of set pair analysis (SPA) based on SPA principle that describe error distribution of prediction model from identical, discrepancy and contrary, and to describe the precision by correlation degree, Therefore the prediction model was built. According to the nonlinear and the multi-time scale character of hydrological sequence, the establishment of hydrological forecast model is not high precision, Here we apply wavelet de-noising characteristics, and use 1959-1989 years of data of Fenhe reservoir baxia station to establish wavelet de-nosing SPA model. Through contrast between the single prediction model and the synthetic prediction model of hydrological forecasting and measured series. The results show that the synthetic prediction model is superior to the single prediction model.

You might also be interested in these eBooks

Progress in Environmental Science and Engineering (ICEESD)

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 356-360)

Pages:

2301-2306

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.356-360.2301

Citation:

Cite this paper

Online since:

October 2011

Authors:

Ai Yun Li, Jia Hai Lu

Keywords:

Annual Runoff, Set Pair Analysis (SPA), Wavelet De-nosing

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Wensheng Wang, Jing Ding, Yueqing Li, et al. Hydrology Wavelet Analysis[M]. Beijing: Chemical Industry Press, 2005,144-146.(in Chinese)

Google Scholar

[2] Keqin Zhao, Set Pair Analysis and Its Preliminary Application[M]. Hangzhou: Zhejiang Science and Technology Press, 2000, 83-90. (in Chinese)

Google Scholar

[3] Defeng Zhang, MATLAB Wavelet Analysis[M].Beijing: China Machine Press,2008, 278-283.(in Chinese)

Google Scholar

[4] Wensheng Wang, Yueqing Li, Liangju Jin et al. Set Pair Analysis for Hydrology and Water Resources Systems[M]. Beijing: Science Press, 2010, 127-140. (in Chinese)

Google Scholar

[5] Sun Jingzhong, Chen Shiquan. A dynamic model of set-pair analysis and its application[J]. Systems Engineering, 2004, 22(5): 35-38

Google Scholar

[6] Wensheng Wang, Honglian Xian, Yueqing Li, et al. A New Approach to Annual Runoff Classification Based on Set Pair Analysis[J]. Journal of Sichuan University(Engineering Science Edition),2008,40(5),1-6. (in Chinese)

Google Scholar

[7] Jie Gao, Zhaohan Sheng. Method and application of set pair analysis classified prediction[ J]. Journal of Systems Engineering, 2002, 7(5): 458-462. (in Chinese)

Google Scholar