Application of Hilbert-Huang Transform Method to the Analysis of Varying Timescales in Sediment Transport
by Ken Z. Kuai, (Research Assistant, 207 Jarvis Hall, Department of Civil, Structural, and Environmental Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA ( E-mail: kzheng@buffalo.edu)) and Christina W. Tsai, (Associate Professor, 233 Jarvis Hall, Department of Civil, Structural, and Environmental Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA ( E-mail: ctsai4@buffalo.edu))
Section: Planning and Management Council, pp. 2851-2859, (doi: http://dx.doi.org/10.1061/41114(371)294)
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| Document type: |
Conference Proceeding Paper |
| Part of: |
World Environmental and Water Resources Congress 2010: Challenges of Change |
| Abstract: |
Sediment transport in natural rivers is recognized to vary at a variety of time periods — daily, monthly, quarterly, semiannually, or annually. This variability is mostly caused by the variable flood frequency and size. In this paper we have introduced the Hilbert-Huang Transform method (HHT) to the field of sediment transport for the analysis of non-stationary and nonlinear time series. The HHT uses the Empirical Mode Decomposition (EMD) method to decompose a signal into a collection of Intrinsic Mode Functions (IMF), and uses the Hilbert Spectral Analysis (HAS) to obtain the instantaneous frequency data. The HHT can be applied to analyze non-stationary and nonlinear time series data by filtering out the noise of non-stationary data series. The EMD can extract the variability of data with different time scales, and improve the analysis of time series. A case study using the HHT method for data analysis and for prediction of time series of sediment transport in a natural river is presented. |
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