Paper
27 March 2022 Analysis of the vertical structure and spectrum characteristics of aerosols detected by multi-rotors UAV in Hefei, China
Author Affiliations +
Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 12169A8 (2022) https://doi.org/10.1117/12.2625858
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
As one of the current scientific research hotspots, atmospheric aerosol not only affects human health and environmental quality, but also has an important impact on atmospheric radiation transmission, laser engineering and other fields. In this paper, we used multi-rotors UAV as a platform, equipped with Portable Optical Particle Profiler (POPS) and meteorological parameter instrument to measure near-surface aerosol properties in Hefei, China, and analyzed the characteristics of aerosol particle number concentration, effective radius and vertical spectrum distribution. The results show that in Hefei, the concentration of aerosol particles in the near-surface layer varies significantly from day to day. The size distribution of aerosol particle shows "double peaks", which can be described by the superposition of two modes. The peak centers are at 0.18 μm and about 0.5 μm. In this study, the physical parameters of aerosols obtained by UAVs can be used to calculate the optical properties of aerosols. It also provides technical support for the subsequent research of aerosols in the modeling of atmospheric aerosols in the region.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Wu, Changyu Liu, Kaixuan Yang, Tao Luo, Xuebin Li, and Ruizhong Rao "Analysis of the vertical structure and spectrum characteristics of aerosols detected by multi-rotors UAV in Hefei, China", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 12169A8 (27 March 2022); https://doi.org/10.1117/12.2625858
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Atmospheric particles

Aerosols

Unmanned aerial vehicles

Humidity

Environmental sensing

Atmospheric monitoring

Atmospheric modeling

Back to Top