The field measurements were conducted to obtain the unsteady gust with blowing sand in the Taklimakan desert. The stationary wavelet transform is applied to investigate the non-Gaussian distribution characteristics and the temporal evolution of the gust wavelet coefficients. According to the time-frequency characteristics of the signal
the relationship between the wavelet at each scale and the target power spectrum is derived and the Log-Poisson law describing the intermittency of turbulence is employed to yield the wavelet coefficients. A method using the inverse stationary wavelet transform is proposed to generate artificial unsteady gust. Moreover
it is considered that the unsteady fluctuation depends on the wavelet coefficient at the lower frequency section. The results show that the power spectrum of the field gust is in good agreement with the Karman power spectrum and the inertial subrange of-5/3 power law is observed. The gust in the near-surface layer exhibits clearly the intermittency and local self-similarity of turbulence. In addition
the statistic analysis of a simulated example using the inverse stationary wavelet transform and its comparison with natural gust show the validity of the present method.
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