Study on fractal dimension of runoff sequence based on successive wavelet transform

被引：0
|
作者：
Wang, Wen-Sheng
Xiang, Hong-Lian
Huang, Wei-Jun
Ding, Jing
机构：
[1] Sichuan University, Chengdu 610065, China
[2] Chengdu Institute of Plateau Meteorolgy, Chinese Meteorology Administration, Chengdu 610072, China
[3] Guangxi Hydraulic and Electric College, Nanning 530023, China
来源：
Shuili Xuebao/Journal of Hydraulic Engineering | 2005年 / 36卷 / 05期
关键词：
D O I：
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中图分类号：
学科分类号：
摘要：
Based on the statistical self-similarity of hydrology time series, a new approach for estimating the fractal dimension by using successive wavelet transform coefficients is proposed. The basic calculation steps are given. The fractal dimensions of the annual runoff series at some main stations in the Yellow River are obtained by using the proposed approach. In contrast to the Rescaled Range Analysis, the fractal dimension of wavelet method is robust. The results of case studies show that the wavelet method is feasible.
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页码：598 / 601
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