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Multifractal Analysis of Hydrologic Data Using Wavelet Methods and Fluctuation Analysis

Multifractal Analysis of Hydrologic Data Using Wavelet Methods and Fluctuation Analysis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cb843dc0f958466e9c223c402ef5806b

Multifractal Analysis of Hydrologic Data Using Wavelet Methods and Fluctuation Analysis

About this item

Full title

Multifractal Analysis of Hydrologic Data Using Wavelet Methods and Fluctuation Analysis

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

Discrete dynamics in nature and society, 2017-01, Vol.2017 (2017), p.1-18

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

Scope and Contents

Contents

We study the multifractal properties of water level with a high-frequency and massive time series using wavelet methods (estimation of Hurst exponents, multiscale diagram, and wavelet leaders for multifractal analysis (WLMF)) and multifractal detrended fluctuation analysis (MF-DFA). The dataset contains more than two million records from 10 observa...

Alternative Titles

Full title

Multifractal Analysis of Hydrologic Data Using Wavelet Methods and Fluctuation Analysis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cb843dc0f958466e9c223c402ef5806b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cb843dc0f958466e9c223c402ef5806b

Other Identifiers

ISSN

1026-0226

E-ISSN

1607-887X

DOI

10.1155/2017/3148257

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