Wavelet analysis for modeling suspended sediment discharge | Zendy

Hafzullah Aksoy | Zendy; Tanju Akar | Zendy; N. Erdem Ünal | Zendy

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Wavelet analysis for modeling suspended sediment discharge

Author(s) -

Hafzullah Aksoy,

Tanju Akar,

N. Erdem Ünal

Publication year - 2004

Publication title -

hydrology research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.665

H-Index - 48

eISSN - 1996-9694

pISSN - 0029-1277

DOI - 10.2166/nh.2004.0012

Subject(s) - wavelet , series (stratigraphy) , haar wavelet , sediment , environmental science , time series , data set , discharge , hydrology (agriculture) , geology , wavelet transform , statistics , computer science , mathematics , discrete wavelet transform , geomorphology , geotechnical engineering , artificial intelligence , geography , drainage basin , cartography , paleontology

Wavelets, functions with zero mean and finite variance, have recently been found to be appropriate tools in investigating geophysical, hydrological, meteorological, and environmental processes. In this study, a wavelet-based modeling technique is presented for suspended sediment discharge time series. The model generates synthetic series statistically similar to the observed data. In the model in which the Haar wavelet is used, the available data are decomposed into detail functions. By choosing randomly from among the detail functions, synthetic suspended sediment discharge series are composed. Results are compared with those obtained from a moving-average process fitted to the data set.

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