Published November 2005 | Version v1
Journal article

Fractal nature of time series in the sediment transport phenomenon

  • 1. Department of Mathematics, School of Science, Beijing Jiaotong University, Beijing 100044 (China)
  • 2. River and Environmental Engineering Laboratory, Department of Civil Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656 (Japan)

Description

The purpose of the present study is to investigate the presence of fractal behaviors in the sediment transport phenomenon to consider the possibility of using a fractal approach for suspended sediment characterization. Suspended sediment concentration data collected from the Yellow River basin at Tongguan, Shanxi, China are studied. The power spectrum, the empirical probability distribution function, the statistical moment scaling function and the autocorrelation function are used as indicators to investigate the presence of fractal. The results from the fractal identification methods indicate that the sediment data exhibit fractal behavior

Additional details

Identifiers

DOI
10.1016/j.chaos.2005.01.051;
PII
S0960-0779(05)00151-7;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
26
Journal Issue
3
Journal Page Range
p. 997-1007
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
37003396
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
CHINA; DISTRIBUTION FUNCTIONS; ENVIRONMENTAL TRANSPORT; FRACTALS; MATHEMATICAL MODELS; PROBABILITY; SEDIMENTS; TIME-SERIES ANALYSIS; YELLOW RIVER
Descriptors DEC
ASIA; FUNCTIONS; MASS TRANSFER; MATHEMATICS; RIVERS; STATISTICS; SURFACE WATERS

Optional Information

Copyright
Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.