Acta Optica Sinica, Volume. 38, Issue 5, 0501002(2018)

Application of Wavelet Analysis in Research of Near-Surface Turbulence Coherent Structure

Shiwei Bai1,2、1; 2; , Gang Sun、1*; *; , Xuebin Li1、1; , Qing Liu1,2、1; 2; , and Ningquan Weng1,3、1; 3;
Author Affiliations
  • 1 Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2 Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, Anhui 230031, China
  • 3 School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
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    The coherent structure characteristics of atmospheric turbulence are investigated based on frequency domain wavelet analysis method. The data of wind velocity fluctuation over the ground are analyzed with Mexican Hat wavelet function. According to the maximum energy principle, the principal scale of coherent structure is identified and the coherent structure waveform is extracted by reconstruction formula. Results show that the reconstructed coherent waveform is a signal with quasi-periodic motion, which reflects a middle scale movement of the existing original pulse signal, and their waveforms coincide well with each other in the changing trend. Time and scale maps of wavelet coefficients can well explain the multi-scale and intermittence characteristics of turbulence, and reflect the evolution of turbulence coherent structure. During the analysis period, statistical analysis on the main scale of wind speed coherent structure is carried out, and it’s found that the main scale of coherent structure satisfies the normal distribution approximately.

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    Shiwei Bai, Gang Sun, Xuebin Li, Qing Liu, Ningquan Weng. Application of Wavelet Analysis in Research of Near-Surface Turbulence Coherent Structure[J]. Acta Optica Sinica, 2018, 38(5): 0501002

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Oct. 10, 2017

    Accepted: --

    Published Online: Jul. 10, 2018

    The Author Email: Sun Gang (gsun@aiofm.ac.cn)

    DOI:10.3788/AOS201838.0501002

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