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author:

Xia, Dandan (Xia, Dandan.) [1] | Yu, Wanghua (Yu, Wanghua.) [2] | Lin, Li (Lin, Li.) [3] | Lin, Xiaobo (Lin, Xiaobo.) [4] | Hu, Yu (Hu, Yu.) [5]

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Scopus SCIE

Abstract:

In fractal theory, the fractal dimension has been accepted as a quantitative parameter to measure the complexity of fluctuations and the persistence of wind speeds. Typhoons are extreme wind events that damage structures. In this study, on the basis of wind field measurements, the fractal dimension characteristics of four typhoons in southeastern China are examined. Typhoon wind speeds at different heights and locations are presented. Monofractal dimension analysis was first conducted, and the results revealed that the typhoon wind speeds were persistent, with fractal dimensions smaller than 1.5. For all four typhoons considered, with the onset of landfall, the fractal dimensions approach 1.5, indicating unpredictable trends in the time series. Multifractality is accepted to exist in the typhoon wind speed dataset, and multifractal analysis was also conducted on the basis of the measured typhoon wind speeds. The results show that the fractal parameters calculated by multifractal analysis are generally greater than those calculated via monofractal analysis. This research aims to improve the understanding of the inner dynamic characteristics of typhoon wind speeds. These fractal parameters can provide quantitative references for future typhoon simulations and predictions.

Keyword:

fractal dimension multifractal detrended fluctuation analysis typhoon wind field measurement

Community:

  • [ 1 ] [Xia, Dandan]Xiamen Univ Technol, Fujian Prov Key Lab Wind Disaster & Wind Engn, Xiamen 361024, Peoples R China
  • [ 2 ] [Yu, Wanghua]Xiamen Univ Technol, Fujian Prov Key Lab Wind Disaster & Wind Engn, Xiamen 361024, Peoples R China
  • [ 3 ] [Lin, Li]Xiamen Univ Technol, Fujian Prov Key Lab Wind Disaster & Wind Engn, Xiamen 361024, Peoples R China
  • [ 4 ] [Lin, Xiaobo]Fuzhou Univ, Dept Civil Engn, Fuzhou 350108, Peoples R China
  • [ 5 ] [Hu, Yu]Guangdong Lab Artificial Intelligence & Digital Ec, Guangzhou 510000, Peoples R China

Reprint 's Address:

  • [Lin, Li]Xiamen Univ Technol, Fujian Prov Key Lab Wind Disaster & Wind Engn, Xiamen 361024, Peoples R China;;[Hu, Yu]Guangdong Lab Artificial Intelligence & Digital Ec, Guangzhou 510000, Peoples R China

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FRACTAL AND FRACTIONAL

Year: 2025

Issue: 3

Volume: 9

3 . 6 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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