Application of Hilbert-Huang Transform Method to the Analysis of Varying Timescales in Sediment Transport


See related content

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 (, kzheng@buffalo.edu),
Christina W. Tsai, Associate Professor; 234 Jarvis Hall, Department of Civil, Structural, and Environmental Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA, ctsai4@buffalo.edu),



Document Type: 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.

Subject Headings: Sediment transport | Data analysis | Time series analysis | Data collection | Flood frequency | Rivers and streams | Management methods | Case studies |

Services: Buy this book/Buy this article

 

Return to search