Development of UAV-based system for simultaneous wind and particle measurements in the atmospheric boundary layer

IF 2.5 3区 工程技术 Q2 ENGINEERING, MECHANICAL
Xiaofei Zhang, Biaosheng Luo, Yixun Liu, Jiaqi Li, Tingwei Liang, Jiarong Hong, Cheng Li
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Abstract

This study introduces a novel UAV-based platform for simultaneous wind and particle measurements within the atmospheric boundary layer. By integrating a full-scale sonic anemometer with a multi-resolution digital in-line holography (MRDIH) system, the UAV system captures three-dimensional wind vectors and particle size distributions—ranging from micrometer-scale aerosols to millimeter-sized particles—in real time. A customized hexacopter, equipped with GNSS/RTK/IMU navigation and flight control, enables synchronized data acquisition under varying flight conditions. To ensure accuracy, both time-domain and frequency-domain correction methods are employed to compensate for rotor-induced disturbances, yielding wind measurements that align closely with those from a fixed reference anemometer. Field campaigns validate the system’s ability to resolve turbulence statistics, such as energy spectra and dissipation rates, while DIH measurements demonstrate robust particle sizing in both near-surface and elevated cloud environments. The resulting data provide new insights into wind-particle interactions, including droplet dynamics within clouds and the turbulence-driven particle dispersion. Overall, this UAV platform addresses critical gaps in atmospheric measurements and can be readily adapted for diverse applications, including wind energy site assessment, air-quality monitoring, and fundamental research in dispersed multiphase flows. Future efforts will extend its operational envelope to extreme conditions and integrate refined data-assimilation techniques to further enhance measurement fidelity.

Abstract Image

基于无人机的大气边界层风和粒子同步测量系统的研制
本研究介绍了一种新的基于无人机的平台,用于同时测量大气边界层内的风和粒子。通过将全尺寸音速风速计与多分辨率数字在线全息(MRDIH)系统集成,无人机系统可以实时捕获三维风矢量和粒径分布,范围从微米级气溶胶到毫米级颗粒。定制的六旋翼机,配备GNSS/RTK/IMU导航和飞行控制,能够在不同的飞行条件下进行同步数据采集。为了确保精度,采用时域和频域校正方法来补偿转子引起的干扰,产生的风速测量值与固定参考风速计的测量值密切一致。现场测试验证了该系统解决湍流统计数据(如能谱和耗散率)的能力,而DIH测量结果在近地表和高空云环境中都显示了强大的颗粒尺寸。所得到的数据提供了对风粒子相互作用的新见解,包括云中的液滴动力学和湍流驱动的粒子弥散。总体而言,该无人机平台解决了大气测量中的关键空白,可以很容易地适应各种应用,包括风能现场评估、空气质量监测和分散多相流的基础研究。未来的工作将扩展其操作范围到极端条件,并整合精细的数据同化技术,以进一步提高测量保真度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Experiments in Fluids
Experiments in Fluids 工程技术-工程:机械
CiteScore
5.10
自引率
12.50%
发文量
157
审稿时长
3.8 months
期刊介绍: Experiments in Fluids examines the advancement, extension, and improvement of new techniques of flow measurement. The journal also publishes contributions that employ existing experimental techniques to gain an understanding of the underlying flow physics in the areas of turbulence, aerodynamics, hydrodynamics, convective heat transfer, combustion, turbomachinery, multi-phase flows, and chemical, biological and geological flows. In addition, readers will find papers that report on investigations combining experimental and analytical/numerical approaches.
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