Wavelet-Based Multi-Scale Entropy Analysis of Complex Rainfall Time Series

This paper presents a novel framework to determine the number of resolution levels in the application of a wavelet transformation to a rainfall time series. The rainfall time series are decomposed using the à trous wavelet transform. Then, multi-scale entropy (MSE) analysis that helps to elucidate s...

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Main Author: Chien-Ming Chou
Format: Article
Language:English
Published: MDPI AG 2011-01-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/13/1/241/
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author Chien-Ming Chou
author_facet Chien-Ming Chou
author_sort Chien-Ming Chou
collection DOAJ
description This paper presents a novel framework to determine the number of resolution levels in the application of a wavelet transformation to a rainfall time series. The rainfall time series are decomposed using the à trous wavelet transform. Then, multi-scale entropy (MSE) analysis that helps to elucidate some hidden characteristics of the original rainfall time series is applied to the decomposed rainfall time series. The analysis shows that the Mann-Kendall (MK) rank correlation test of MSE curves of residuals at various resolution levels could determine the number of resolution levels in the wavelet decomposition. The complexity of rainfall time series at four stations on a multi-scale is compared. The results reveal that the suggested number of resolution levels can be obtained using MSE analysis and MK test. The complexity of rainfall time series at various locations can also be analyzed to provide a reference for water resource planning and application.
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spelling doaj.art-37d7fdb2bff246e19360264ea9001bcc2022-12-22T03:10:24ZengMDPI AGEntropy1099-43002011-01-0113124125310.3390/e13010241Wavelet-Based Multi-Scale Entropy Analysis of Complex Rainfall Time SeriesChien-Ming ChouThis paper presents a novel framework to determine the number of resolution levels in the application of a wavelet transformation to a rainfall time series. The rainfall time series are decomposed using the à trous wavelet transform. Then, multi-scale entropy (MSE) analysis that helps to elucidate some hidden characteristics of the original rainfall time series is applied to the decomposed rainfall time series. The analysis shows that the Mann-Kendall (MK) rank correlation test of MSE curves of residuals at various resolution levels could determine the number of resolution levels in the wavelet decomposition. The complexity of rainfall time series at four stations on a multi-scale is compared. The results reveal that the suggested number of resolution levels can be obtained using MSE analysis and MK test. The complexity of rainfall time series at various locations can also be analyzed to provide a reference for water resource planning and application.http://www.mdpi.com/1099-4300/13/1/241/wavelet transformmulti-scale entropyrainfall time series
spellingShingle Chien-Ming Chou
Wavelet-Based Multi-Scale Entropy Analysis of Complex Rainfall Time Series
Entropy
wavelet transform
multi-scale entropy
rainfall time series
title Wavelet-Based Multi-Scale Entropy Analysis of Complex Rainfall Time Series
title_full Wavelet-Based Multi-Scale Entropy Analysis of Complex Rainfall Time Series
title_fullStr Wavelet-Based Multi-Scale Entropy Analysis of Complex Rainfall Time Series
title_full_unstemmed Wavelet-Based Multi-Scale Entropy Analysis of Complex Rainfall Time Series
title_short Wavelet-Based Multi-Scale Entropy Analysis of Complex Rainfall Time Series
title_sort wavelet based multi scale entropy analysis of complex rainfall time series
topic wavelet transform
multi-scale entropy
rainfall time series
url http://www.mdpi.com/1099-4300/13/1/241/
work_keys_str_mv AT chienmingchou waveletbasedmultiscaleentropyanalysisofcomplexrainfalltimeseries