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Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring Systemopen access

Authors
Kim, Woo YoungLee, Sang GuLee, HandolAhn, Kang-Ho
Issue Date
Jan-2025
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Keywords
condensation particle counter; drone-based monitoring system; optical particle counter; particulate matter; unmanned aerial vehicle
Citation
Atmosphere, v.16, no.1, pp 1 - 19
Pages
19
Indexed
SCIE
SCOPUS
Journal Title
Atmosphere
Volume
16
Number
1
Start Page
1
End Page
19
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/123737
DOI
10.3390/atmos16010093
ISSN
2073-4433
2073-4433
Abstract
In this study, a drone-based measurement system equipped with miniaturized optical and condensation particle counters was deployed to investigate the vertical distribution of particulate matter and meteorological variables up to 2.5 km in altitude. Measurements captured at various altitudes demonstrated notable vertical variations in particle concentration and significant correlations with meteorological factors, particularly relative humidity (RH). Near the surface, within a well-mixed boundary layer, particle concentrations remained stable despite RH changes, indicating both anthropogenic and natural influences. At higher altitudes, a clear positive relationship between RH and particle number concentration emerged, particularly for smaller particles, while temperature inversions and distinct wind patterns influenced aerosol dispersion. The unmanned aerial vehicle system’s robust performance, validated against standard meteorological tower data, underscores its potential for high-resolution atmospheric profiling. These insights are crucial for understanding particle behavior in diverse atmospheric layers and have implications for refining air quality monitoring and climate models. Future work should incorporate chemical analysis of aerosols to further expand these findings and assess their environmental impact. © 2025 by the authors.
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 1. Journal Articles

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