Cargando…

Autonomous monitoring, analysis, and countering of air pollution using environmental drones

The effect of air pollution on the environment, economic and health of the people in the affected countries cannot be overemphasized. This paper investigates large scale air pollution elimination to remove pollutants that are already in existence in the environment. This method involves the use of E...

Descripción completa

Detalles Bibliográficos
Autores principales: Rohi, Godall, Ejofodomi, O'tega, Ofualagba, Godswill
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971350/
https://www.ncbi.nlm.nih.gov/pubmed/31993524
http://dx.doi.org/10.1016/j.heliyon.2020.e03252
_version_ 1783489708008931328
author Rohi, Godall
Ejofodomi, O'tega
Ofualagba, Godswill
author_facet Rohi, Godall
Ejofodomi, O'tega
Ofualagba, Godswill
author_sort Rohi, Godall
collection PubMed
description The effect of air pollution on the environment, economic and health of the people in the affected countries cannot be overemphasized. This paper investigates large scale air pollution elimination to remove pollutants that are already in existence in the environment. This method involves the use of Environmental Drones (E-drones) to autonomously monitor the air quality at a specific location. The E-drone flies up to a predetermined height (Ealtitude) every hour, measures the air pollutants at that location, implements on-board pollution abatement solutions for pollutants above the recommended threshold, and then flies back down to its location on the ground. The advantages of this system is its ability to measure air pollution concentration of CO(2), CO, NH(3), SO(2), PM, O(3) and NO(2), detect when they are too high, and implement on-board pollution abatement solutions as needed. This system's novelty lies in the fact that it not only detects when there is excessive pollution, but it also automatically deals with and abates the detected air pollution above earth. When multiple E-drones are used in different locations, a custom software generates an Air Quality Health Index (AQHI) map of the region that can be used for present and long-term environmental analysis.
format Online
Article
Text
id pubmed-6971350
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-69713502020-01-28 Autonomous monitoring, analysis, and countering of air pollution using environmental drones Rohi, Godall Ejofodomi, O'tega Ofualagba, Godswill Heliyon Article The effect of air pollution on the environment, economic and health of the people in the affected countries cannot be overemphasized. This paper investigates large scale air pollution elimination to remove pollutants that are already in existence in the environment. This method involves the use of Environmental Drones (E-drones) to autonomously monitor the air quality at a specific location. The E-drone flies up to a predetermined height (Ealtitude) every hour, measures the air pollutants at that location, implements on-board pollution abatement solutions for pollutants above the recommended threshold, and then flies back down to its location on the ground. The advantages of this system is its ability to measure air pollution concentration of CO(2), CO, NH(3), SO(2), PM, O(3) and NO(2), detect when they are too high, and implement on-board pollution abatement solutions as needed. This system's novelty lies in the fact that it not only detects when there is excessive pollution, but it also automatically deals with and abates the detected air pollution above earth. When multiple E-drones are used in different locations, a custom software generates an Air Quality Health Index (AQHI) map of the region that can be used for present and long-term environmental analysis. Elsevier 2020-01-20 /pmc/articles/PMC6971350/ /pubmed/31993524 http://dx.doi.org/10.1016/j.heliyon.2020.e03252 Text en © 2020 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Rohi, Godall
Ejofodomi, O'tega
Ofualagba, Godswill
Autonomous monitoring, analysis, and countering of air pollution using environmental drones
title Autonomous monitoring, analysis, and countering of air pollution using environmental drones
title_full Autonomous monitoring, analysis, and countering of air pollution using environmental drones
title_fullStr Autonomous monitoring, analysis, and countering of air pollution using environmental drones
title_full_unstemmed Autonomous monitoring, analysis, and countering of air pollution using environmental drones
title_short Autonomous monitoring, analysis, and countering of air pollution using environmental drones
title_sort autonomous monitoring, analysis, and countering of air pollution using environmental drones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971350/
https://www.ncbi.nlm.nih.gov/pubmed/31993524
http://dx.doi.org/10.1016/j.heliyon.2020.e03252
work_keys_str_mv AT rohigodall autonomousmonitoringanalysisandcounteringofairpollutionusingenvironmentaldrones
AT ejofodomiotega autonomousmonitoringanalysisandcounteringofairpollutionusingenvironmentaldrones
AT ofualagbagodswill autonomousmonitoringanalysisandcounteringofairpollutionusingenvironmentaldrones