Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Low-altitude Sensing of Urban Atmospheric Turbulence with UAV

Version 1 : Received: 11 January 2022 / Approved: 12 January 2022 / Online: 12 January 2022 (16:19:23 CET)

How to cite: Shelekhov, A.; Afanasiev, A.; Shelekhova, E.; Kobzev, A.; Tel’minov, A.; Molchunov, A.; Poplevina, O. Low-altitude Sensing of Urban Atmospheric Turbulence with UAV. Preprints 2022, 2022010178 (doi: 10.20944/preprints202201.0178.v1). Shelekhov, A.; Afanasiev, A.; Shelekhova, E.; Kobzev, A.; Tel’minov, A.; Molchunov, A.; Poplevina, O. Low-altitude Sensing of Urban Atmospheric Turbulence with UAV. Preprints 2022, 2022010178 (doi: 10.20944/preprints202201.0178.v1).

Abstract

The capabilities of a quadcopter in the hover mode for low-altitude sensing of atmospheric turbulence with high spatial resolution in urban areas characterized by complex orography are investigated. The studies were carried out in different seasons (winter, spring, summer, and fall), and the quadcopter hovered in the immediate vicinity of ultrasonic weather stations. The DJI Phantom 4 Pro quadcopter and AMK-03 ultrasonic weather stations installed in different places of the studied territory were used in the experiment. The smoothing procedure was used to main regularities in the behavior of the longitudinal and lateral spectra of turbulence in the inertial and energy production ranges. The longitudinal and lateral turbulence scales were estimated by the least-square fit method with the von Karman model as a regression curve. It is shown that the turbulence spectra obtained with DJI Phantom 4 Pro and AMK-03 generally coincide with minor differences observed in the high-frequency region of the spectrum. In the inertial range, the behavior of the turbulence spectra shows that they obey the Kolmogorov-Obukhov “5/3” law. In the energy production range, the longitudinal and lateral turbulence scales and their ratio measured by DJI Phantom 4 Pro and AMK-03 agree to a good accuracy. Discrepancies in the data obtained with the quadcopter and the ultrasonic weather stations at the territory with complex orography are explained by the partial correlation of the wind velocity series at different measurement points and the influence of the inhomogeneous surface.

Keywords

quadcopter; ultrasonic weather station; turbulence, longitudinal and lateral spectra, scales, urban environment

Subject

EARTH SCIENCES, Atmospheric Science

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