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Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments

An unmanned aerial vehicle (UAV) particulate-matter (PM) monitoring system was developed that can perform three-dimensional stereoscopic observation of PM2.5 and PM10 in the atmosphere. The UAV monitoring system was mainly integrated by modules of data acquisition and processing, wireless data trans...

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Autores principales: Wang, Tonghua, Han, Wenting, Zhang, Mengfei, Yao, Xiaomin, Zhang, Liyuan, Peng, Xingshuo, Li, Chaoqun, Dan, Xvjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982869/
https://www.ncbi.nlm.nih.gov/pubmed/31861895
http://dx.doi.org/10.3390/s20010057
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author Wang, Tonghua
Han, Wenting
Zhang, Mengfei
Yao, Xiaomin
Zhang, Liyuan
Peng, Xingshuo
Li, Chaoqun
Dan, Xvjia
author_facet Wang, Tonghua
Han, Wenting
Zhang, Mengfei
Yao, Xiaomin
Zhang, Liyuan
Peng, Xingshuo
Li, Chaoqun
Dan, Xvjia
author_sort Wang, Tonghua
collection PubMed
description An unmanned aerial vehicle (UAV) particulate-matter (PM) monitoring system was developed that can perform three-dimensional stereoscopic observation of PM2.5 and PM10 in the atmosphere. The UAV monitoring system was mainly integrated by modules of data acquisition and processing, wireless data transmission, and global positioning system (GPS). Particularly, in this study, a ground measurement-control subsystem was added that can display and store collected data in real time and set up measurement scenarios, data-storage modes, and system sampling frequency as needed. The UAV PM monitoring system was calibrated via comparison with a national air-quality monitoring station; the data of both systems were highly correlated. Since rotation of the UAV propeller affects measured PM concentration, this study specifically tested this effect by setting up another identical monitoring system fixed at a tower as reference. The UAV systems worked simultaneously to collect data for comparison. A correction method for the propeller disturbance was proposed. Averaged relative errors for the PM2.5 and PM10 concentrations measured by the two systems were 6.2% and 6.6%, respectively, implying that the UAV system could be used for monitoring PM in an atmosphere environment.
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spelling pubmed-69828692020-02-06 Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments Wang, Tonghua Han, Wenting Zhang, Mengfei Yao, Xiaomin Zhang, Liyuan Peng, Xingshuo Li, Chaoqun Dan, Xvjia Sensors (Basel) Article An unmanned aerial vehicle (UAV) particulate-matter (PM) monitoring system was developed that can perform three-dimensional stereoscopic observation of PM2.5 and PM10 in the atmosphere. The UAV monitoring system was mainly integrated by modules of data acquisition and processing, wireless data transmission, and global positioning system (GPS). Particularly, in this study, a ground measurement-control subsystem was added that can display and store collected data in real time and set up measurement scenarios, data-storage modes, and system sampling frequency as needed. The UAV PM monitoring system was calibrated via comparison with a national air-quality monitoring station; the data of both systems were highly correlated. Since rotation of the UAV propeller affects measured PM concentration, this study specifically tested this effect by setting up another identical monitoring system fixed at a tower as reference. The UAV systems worked simultaneously to collect data for comparison. A correction method for the propeller disturbance was proposed. Averaged relative errors for the PM2.5 and PM10 concentrations measured by the two systems were 6.2% and 6.6%, respectively, implying that the UAV system could be used for monitoring PM in an atmosphere environment. MDPI 2019-12-20 /pmc/articles/PMC6982869/ /pubmed/31861895 http://dx.doi.org/10.3390/s20010057 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Tonghua
Han, Wenting
Zhang, Mengfei
Yao, Xiaomin
Zhang, Liyuan
Peng, Xingshuo
Li, Chaoqun
Dan, Xvjia
Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments
title Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments
title_full Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments
title_fullStr Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments
title_full_unstemmed Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments
title_short Unmanned Aerial Vehicle-Borne Sensor System for Atmosphere-Particulate-Matter Measurements: Design and Experiments
title_sort unmanned aerial vehicle-borne sensor system for atmosphere-particulate-matter measurements: design and experiments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982869/
https://www.ncbi.nlm.nih.gov/pubmed/31861895
http://dx.doi.org/10.3390/s20010057
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