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An Unmanned Aerial Vehicle-Based Gas Sampling System for Analyzing CO(2) and Atmospheric Particulate Matter in Laboratory
We developed and tested an unmanned aerial vehicle-based gas sampling system (UGSS) for collecting gases and atmospheric particulate matter (PM). The system applies an alternative way of collecting both vertical and horizontal transects of trace gases in order to analyze them in the laboratory. To i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070813/ https://www.ncbi.nlm.nih.gov/pubmed/32075222 http://dx.doi.org/10.3390/s20041051 |
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author | Li, Chaoqun Han, Wenting Peng, Manman Zhang, Mengfei Yao, Xiaomin Liu, Wenshuai Wang, Tonghua |
author_facet | Li, Chaoqun Han, Wenting Peng, Manman Zhang, Mengfei Yao, Xiaomin Liu, Wenshuai Wang, Tonghua |
author_sort | Li, Chaoqun |
collection | PubMed |
description | We developed and tested an unmanned aerial vehicle-based gas sampling system (UGSS) for collecting gases and atmospheric particulate matter (PM). The system applies an alternative way of collecting both vertical and horizontal transects of trace gases in order to analyze them in the laboratory. To identify the best position of the UGSS intake port, aerodynamic flow simulations and experimental verifications of propeller airflow were conducted with an unmanned aerial vehicle (UAV) in hover mode. The UGSS will automatically replace the original gas in the system with gas from a target location to avoid the original gas being stored in the air bags. Experimental results show that the UGSS needs 5 s to replace the system’s own original gas using its pump. CO(2) and PM2.5/10 above the corn field are used as the test species to validate the accuracy of the CO(2) gas and PM concentrations collected by UGSS. Deming regression analyses showed good agreement between the measurements from the UGSS and the ground sampling station (y = 1.027x – 11.239, Pearson’s correlation coefficient of 0.98 for CO(2); y = 0.992x + 0.704, Pearson’s correlation coefficient of 0.99 for PM).The UGSS provides a measuring method that actively collects gases and PM for manual analyses in the laboratory. |
format | Online Article Text |
id | pubmed-7070813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70708132020-03-19 An Unmanned Aerial Vehicle-Based Gas Sampling System for Analyzing CO(2) and Atmospheric Particulate Matter in Laboratory Li, Chaoqun Han, Wenting Peng, Manman Zhang, Mengfei Yao, Xiaomin Liu, Wenshuai Wang, Tonghua Sensors (Basel) Article We developed and tested an unmanned aerial vehicle-based gas sampling system (UGSS) for collecting gases and atmospheric particulate matter (PM). The system applies an alternative way of collecting both vertical and horizontal transects of trace gases in order to analyze them in the laboratory. To identify the best position of the UGSS intake port, aerodynamic flow simulations and experimental verifications of propeller airflow were conducted with an unmanned aerial vehicle (UAV) in hover mode. The UGSS will automatically replace the original gas in the system with gas from a target location to avoid the original gas being stored in the air bags. Experimental results show that the UGSS needs 5 s to replace the system’s own original gas using its pump. CO(2) and PM2.5/10 above the corn field are used as the test species to validate the accuracy of the CO(2) gas and PM concentrations collected by UGSS. Deming regression analyses showed good agreement between the measurements from the UGSS and the ground sampling station (y = 1.027x – 11.239, Pearson’s correlation coefficient of 0.98 for CO(2); y = 0.992x + 0.704, Pearson’s correlation coefficient of 0.99 for PM).The UGSS provides a measuring method that actively collects gases and PM for manual analyses in the laboratory. MDPI 2020-02-15 /pmc/articles/PMC7070813/ /pubmed/32075222 http://dx.doi.org/10.3390/s20041051 Text en © 2020 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 Li, Chaoqun Han, Wenting Peng, Manman Zhang, Mengfei Yao, Xiaomin Liu, Wenshuai Wang, Tonghua An Unmanned Aerial Vehicle-Based Gas Sampling System for Analyzing CO(2) and Atmospheric Particulate Matter in Laboratory |
title | An Unmanned Aerial Vehicle-Based Gas Sampling System for Analyzing CO(2) and Atmospheric Particulate Matter in Laboratory |
title_full | An Unmanned Aerial Vehicle-Based Gas Sampling System for Analyzing CO(2) and Atmospheric Particulate Matter in Laboratory |
title_fullStr | An Unmanned Aerial Vehicle-Based Gas Sampling System for Analyzing CO(2) and Atmospheric Particulate Matter in Laboratory |
title_full_unstemmed | An Unmanned Aerial Vehicle-Based Gas Sampling System for Analyzing CO(2) and Atmospheric Particulate Matter in Laboratory |
title_short | An Unmanned Aerial Vehicle-Based Gas Sampling System for Analyzing CO(2) and Atmospheric Particulate Matter in Laboratory |
title_sort | unmanned aerial vehicle-based gas sampling system for analyzing co(2) and atmospheric particulate matter in laboratory |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070813/ https://www.ncbi.nlm.nih.gov/pubmed/32075222 http://dx.doi.org/10.3390/s20041051 |
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