Analysis of Low Altitude Wind Profile Data from Wind Lidar for Drone Aviation Safety

Jewon Kim, J. Ryu, Seon-Jun Na, Seong-Cheol Seong
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Abstract

According to the Unmanned aircraft system Traffic Management (UTM), drones are permitted to fly up to 150m above ground, which is located in the atmospheric boundary layer where there is considerable wind fluctuation due to turbulence. Although it is difficult to predict when turbulence will occur drone aviation safety could be enhanced by having a better understanding of the characteristics of vertical profile of wind in the flight area. We used wind lidar (WIndMast 350M) to observe vertical profiles of wind at the test site for aviation meteorological observation equipment located near Incheon International Airport in July and September, 2022. In this study, we utilized the observed wind profile data to propose a technique for obtaining information that could help improve the drone aviation safety. The Fourier transform analysis is used to evaluate the temporal characteristics of the horizontal wind speed at various vertical levels up to 350m. We also examined the relative contribution of the variance of wind having scales of less than an hour, a crucial scale for drone flight, to the variance of wind having all scales at each vertical altitude for days with and without precipitation
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基于风激光雷达低空风廓线数据的无人机飞行安全分析
根据无人机系统交通管理(UTM),无人机被允许在距离地面150米的高空飞行,这是位于大气边界层中,由于湍流而有相当大的风波动。虽然很难预测湍流何时会发生,但通过更好地了解飞行区域的垂直风廓线特征,可以提高无人机的飞行安全性。我们于2022年7月和9月在仁川国际机场附近的航空气象观测设备试验场,利用风激光雷达(WIndMast 350M)观测了风的垂直剖面图。在本研究中,我们利用观测到的风廓线数据,提出了一种获取信息的技术,可以帮助提高无人机的飞行安全性。利用傅里叶变换分析评价了350米以下不同垂直高度水平风速的时间特征。我们还研究了在有和没有降水的日子里,小于一小时尺度的风的方差对每个垂直高度上所有尺度的风的方差的相对贡献,这是无人机飞行的关键尺度
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自引率
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发文量
81
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