Imaging-based 3D Particle Tracking System for Field Characterization of Particle Dynamics in Atmospheric Flows
Nathaniel Bristow, Jiaqi Li, Peter Hartford, Michele Guala, Jiarong, Hong

TL;DR
This paper introduces a field-deployable 3D particle tracking system using UAV calibration to study snow particle dynamics in atmospheric flows, providing new insights into particle trajectories and clustering during natural snowfall.
Contribution
The paper presents a novel UAV-calibrated, modular imaging system capable of measuring 3D particle trajectories in large outdoor volumes during snowfall events.
Findings
Demonstrated capability to measure 3D trajectories during natural snowfall
Analyzed particle curvature, acceleration, and clustering behaviors
Showed potential for studying inertial particle dynamics in atmospheric flows
Abstract
A particle tracking velocimetry apparatus is presented that is capable of measuring three-dimensional particle trajectories across large volumes, of the order of several meters, during natural snowfall events. Field experiments, aimed at understanding snow settling kinematics in atmospheric flows, were conducted during the 2021/2022 winter season using this apparatus, from which we show preliminary results. An overview of the methodology, wherein we use a UAV-based calibration method, is provided, and analysis is conducted of a select dataset to demonstrate the capabilities of the system for studying inertial particle dynamics in atmospheric flows. A modular camera array is used, designed specifically for handling the challenges of field deployment during snowfall. This imaging system is calibrated using synchronized imaging of a UAV-carried target to enable measurements centered 10 m…
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Taxonomy
TopicsCryospheric studies and observations · Aerospace Engineering and Energy Systems · Atmospheric aerosols and clouds
