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Title: Analysis and prediction of riverbed changes using empirical orthogonal functions
Authors: Tai-Wen Hsu
Chyan-Deng Jan
Kuo-Chyang Chang
Swun-Kwang Wang
Contributors: 國立臺灣海洋大學:河海工程學系
Keywords: Eigenfunction
Markov process
forcing parameter
Date: 2006-08
Issue Date: 2018-10-22T01:22:35Z
Publisher: Journal of Hydraulic Research
Abstract: Abstract: A two-dimensional empirical eigenfunction model is proposed to analyze and predict the variations of riverbed profile. This model consists of two along and cross-river eigenfunctions and one temporal eigenfunction. These eigenfunctions can be generated based on a series of measured riverbed profiles. The proposed model is applied to analyze the riverbed variations of the downstream of Chou-Shui River in Taiwan. The prediction of riverbed variations is also conducted by using the generated eigenfunctions with the help of the Markov process model.A dimensionless effective flow discharge is assigned to be the forcing parameter in the predicting model, which controls the riverbed changes. The results show that the proposed method can reasonably analyze and predict the riverbed variations.
Relation: 44(4) pp.488-496
Appears in Collections:[Department of Harbor and River Engineering] Periodical Articles

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