Spectroscopy and Spectral Analysis, Volume. 34, Issue 7, 1780(2014)

Measurement of Path Transverse Wind Velocity Profile Using Light Forward Scattering Scintillation Correlation Method

YUAN Ke-e*, LU Wei-yu, ZHENG Li-nan, HU Shun-xing, HUANG Jian, CAO Kai-fa, and XU Zhi-hai
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    A new method for path transverse wind velocity survey was introduced by analyzing time lagged covariance function of different separation sub-apertures of Hartmann wavefront sensor. A theoretical formula was logically deduced for the light propagation path transverse wind velocity profile. According to the difference of path weighting function for different sub apertures spacing, how to select reasonable path weighting functions was analyzed. Using a Hartmann wavefront sensor, the experiment for measuring path transverse velocity profile along 1 000 m horizontal propagating path was carried out for the first time to our knowledge. The experiment results were as follows. Path transverse averaged velocity from sensor had a good consistency with transverse velocity from the wind anemometer sited near the path receiving end. As the path was divided into two sections, the path transverse velocity of the first section had also a good consistency with that of the second one. Because of different specific underlaying surface of light path, the former was greater than the later over all experiment period. The averaged values were 1.273 and 0.952 m·s-1 respectively. The path transverse velocity of second section and path transverse averaged velocity had the same trend of decrease and increase with time. The correlation coefficients reached 0.86.

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    YUAN Ke-e, LU Wei-yu, ZHENG Li-nan, HU Shun-xing, HUANG Jian, CAO Kai-fa, XU Zhi-hai. Measurement of Path Transverse Wind Velocity Profile Using Light Forward Scattering Scintillation Correlation Method[J]. Spectroscopy and Spectral Analysis, 2014, 34(7): 1780

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    Paper Information

    Received: Sep. 13, 2013

    Accepted: --

    Published Online: Jul. 22, 2014

    The Author Email: Ke-e YUAN (keyuan@aiofm.ac.cn)

    DOI:10.3964/j.issn.1000-0593(2014)07-1780-05

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