Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring System
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 demonstr...
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| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/16/1/93 |
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| author | Woo Young Kim Sang Gu Lee Handol Lee Kang-Ho Ahn |
| author_facet | Woo Young Kim Sang Gu Lee Handol Lee Kang-Ho Ahn |
| author_sort | Woo Young Kim |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5000d68b84464a8b97f2c42d86680143 |
| institution | Kabale University |
| issn | 2073-4433 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj-art-5000d68b84464a8b97f2c42d866801432025-01-24T13:22:00ZengMDPI AGAtmosphere2073-44332025-01-011619310.3390/atmos16010093Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring SystemWoo Young Kim0Sang Gu Lee1Handol Lee2Kang-Ho Ahn3Department of Mechanical Engineering, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan 15588, Republic of KoreaKorea Conformity Laboratories, Jincheon 27872, Republic of KoreaDepartment of Environmental Engineering, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Republic of KoreaDepartment of Mechanical Engineering, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan 15588, Republic of KoreaIn 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.https://www.mdpi.com/2073-4433/16/1/93unmanned aerial vehicledrone-based monitoring systemcondensation particle counteroptical particle counterparticulate matter |
| spellingShingle | Woo Young Kim Sang Gu Lee Handol Lee Kang-Ho Ahn Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring System Atmosphere unmanned aerial vehicle drone-based monitoring system condensation particle counter optical particle counter particulate matter |
| title | Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring System |
| title_full | Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring System |
| title_fullStr | Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring System |
| title_full_unstemmed | Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring System |
| title_short | Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring System |
| title_sort | investigation of vertical profiles of particulate matter and meteorological variables up to 2 5 km in altitude using a drone based monitoring system |
| topic | unmanned aerial vehicle drone-based monitoring system condensation particle counter optical particle counter particulate matter |
| url | https://www.mdpi.com/2073-4433/16/1/93 |
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