[1]
Wang X. Study on the characteristics and driving forces of annual runoff changes in Yulin city based on GIS. [D]. Yangling: Northwest Agriculture and Forestry University, 2008, pp.16-17.
Google Scholar
[2]
Zhao L. Research on circle analysis method ofhydrological time series[D]. Nanjing:Hohai University, 2007, pp.12-17.
Google Scholar
[3]
Jin X, Zhang C. Low flow runoff variation law and middle prediction of Daqinghe river[J]. Ground Water, 2007, 29(6), pp.114-116.
Google Scholar
[4]
Song W, Xiong H.Analysis on runoff variation characteristics of Kaiken River basin in Xinjiang[J]. Research of Soil and Water Conservation, 2008, 15(4), pp.224-227.
Google Scholar
[5]
Huang G, Chen Y, Xie H. .Low flow frequency analysis of Dongjiang River [J]. Journal of Tsinghua University(Science and Technology Edition), 2005, 45(12), pp.1633-1635, 1649.
Google Scholar
[6]
Li J, Chen W, Fan B. Analysis on spatiotemporal variety at runoff of Tao River.Ground Water, 2009, 3(2), pp.67-70, 91.
Google Scholar
[7]
Yan A, Huang Q, Liu Z. Complicated property of runoff time series studied with R:S method. [J]. Journal of Applied Science, 2007, 25(2), pp.214-217.
Google Scholar
[8]
Zhang J, Ma G, Zhang Z. Application of fuzzy cluster analysis in high and low flow runoff characteristics analysis[J]. Yangtze River, 2009, 40(7), pp.11-13, 55
Google Scholar
[9]
Zhang B, Wang H, Zhang H. The simulation and predication of monthly runoff in Yingluoxia based on artificial neural network [J]. Journal of Nutural Resources, 2009, 24(12), pp.2169-2177.
Google Scholar
[10]
Ding S,Yang X. Chaos analysis ofmonthly runoff time series at Yichang Hydrologic Gauge of the Yangtze River[J]. Yangtze River, 2009, 40(22), pp.32-34, 95.
Google Scholar
[11]
Wan X, Tang T. Research on the Forecast of Runoff by Chaotic Neural Networks[J]. Chinese rural water resources and hydropower, 2009, 4, pp.1-3, 6.
Google Scholar
[12]
Li Y, Huang Q, Xu J. Research on prediction of streamflow based on C-SVM[J]. Journal of Hydroelectric Engineering, 2008, 27(6), pp.42-47.
Google Scholar
[13]
Morlet J, Arens G, Fourgeau. Wave propagation and sampling theory and complex waves. 1982, 47(2), pp.222-236.
DOI: 10.1190/1.1441329
Google Scholar
[14]
Wang W, Ding J, Li Y. Wavelet analysis of hydrology[M]. Beijing: Chemistry and Industry Press, 2005, pp.4-130.
Google Scholar
[15]
Zhang D, Gao J. Research on Circle of Runoff Time Series in the Upper Reach of the Yellow River Based on Wavelet Analysis [J]. Journal of Irrigation and Dprecipitationage, 2007, 26(3), pp.75-78.
Google Scholar
[16]
An Q, Liang C, Liu Z. Wavelet analysis of runoff variation characteristics in upper-middle reaches of Yalong River [J]. Engineering Journal of Wuhan University, 2008, 41(3), pp.20-24, 28.
Google Scholar
[17]
Yu H, Zhang X, Li R. Periocis variation of the streamflow and sediment transport in Yan River using wavelet analysis test[J]. Science of Soil and Water Conservation, 2008, 6(4), pp.18-22.
Google Scholar
[18]
Liu J, Dong X, Li S. Comparison Analysis of Runoff Change Trends Based on Wavelet Denoising[J]. Water Resources and Power, 2009, 27(5), pp.4-7.
Google Scholar
[19]
Xu J, Zhang J. Wavelet Analysis of the Annual Average Runoff of Minxian Gauge in Gansu Province [J]. Journal of Lanzhou Jiangtong University, 2009, 28(1), pp.112-114, 117.
Google Scholar
[20]
Wang Z, Chen X. Multiple Time Scale Analysis of Natural Annual Runoff Series at the Boluo Gauge in the Dongjiang River Basin [J]. Chinese rural water resources and hydropower, 2010, (2), pp.21-24.
Google Scholar