Cargando…

Mining association rules between lichens and air quality to support urban air quality monitoring in Nigeria

Urban environments represent the most intense human-environment interaction. This interaction can result in negative outcomes like air pollution and its health implications. There is a significant data deficit in air quality monitoring across many developing nations, which prevents effective policie...

Descripción completa

Detalles Bibliográficos
Autores principales: Lawal, Olanrewaju, Ogugbue, Chimezie Jason, Imam, Tijjani Sabiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898642/
https://www.ncbi.nlm.nih.gov/pubmed/36747933
http://dx.doi.org/10.1016/j.heliyon.2023.e13073
_version_ 1784882468799643648
author Lawal, Olanrewaju
Ogugbue, Chimezie Jason
Imam, Tijjani Sabiu
author_facet Lawal, Olanrewaju
Ogugbue, Chimezie Jason
Imam, Tijjani Sabiu
author_sort Lawal, Olanrewaju
collection PubMed
description Urban environments represent the most intense human-environment interaction. This interaction can result in negative outcomes like air pollution and its health implications. There is a significant data deficit in air quality monitoring across many developing nations, which prevents effective policies and measures from being taken to promote the accomplishment of sustainable development. Around the world, lichens have been used to track environmental changes due to their sensitivity to changes and concentration of atmospheric pollutants. This study investigated the relationships between lichen and air quality across some Nigerian cities. Lichen surveys were conducted in four cities. At various periods during the day, NO(2), SO(2), PM(2.5), and PM(10) levels were measured. Association rule mining was carried out to investigate the relationship between lichen found and air quality categories. Results showed that the most prevalent lichen Genera are Pyxine in Abuja and Kano, Diorygma in Lagos, and Dirinaria in Port Harcourt. Out of the 40 rules found from the rule mining, 17 are important (lift values ≥ 1.1), capturing six of the fourteen lichen genera identified in the field. The findings indicated that there are important relationships between lichens and air quality indices, suggesting that some lichen species in Nigeria may serve as indicators of long-term air quality. To develop a network of urban environmental quality bioindicators across Nigerian cities, surveying and transplanting are advised. The use of lichen for air quality monitoring can provide information for sustainable management of air quality and environmental quality in Nigeria.
format Online
Article
Text
id pubmed-9898642
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-98986422023-02-05 Mining association rules between lichens and air quality to support urban air quality monitoring in Nigeria Lawal, Olanrewaju Ogugbue, Chimezie Jason Imam, Tijjani Sabiu Heliyon Research Article Urban environments represent the most intense human-environment interaction. This interaction can result in negative outcomes like air pollution and its health implications. There is a significant data deficit in air quality monitoring across many developing nations, which prevents effective policies and measures from being taken to promote the accomplishment of sustainable development. Around the world, lichens have been used to track environmental changes due to their sensitivity to changes and concentration of atmospheric pollutants. This study investigated the relationships between lichen and air quality across some Nigerian cities. Lichen surveys were conducted in four cities. At various periods during the day, NO(2), SO(2), PM(2.5), and PM(10) levels were measured. Association rule mining was carried out to investigate the relationship between lichen found and air quality categories. Results showed that the most prevalent lichen Genera are Pyxine in Abuja and Kano, Diorygma in Lagos, and Dirinaria in Port Harcourt. Out of the 40 rules found from the rule mining, 17 are important (lift values ≥ 1.1), capturing six of the fourteen lichen genera identified in the field. The findings indicated that there are important relationships between lichens and air quality indices, suggesting that some lichen species in Nigeria may serve as indicators of long-term air quality. To develop a network of urban environmental quality bioindicators across Nigerian cities, surveying and transplanting are advised. The use of lichen for air quality monitoring can provide information for sustainable management of air quality and environmental quality in Nigeria. Elsevier 2023-01-19 /pmc/articles/PMC9898642/ /pubmed/36747933 http://dx.doi.org/10.1016/j.heliyon.2023.e13073 Text en © 2023 Published by Elsevier Ltd. https://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 Research Article
Lawal, Olanrewaju
Ogugbue, Chimezie Jason
Imam, Tijjani Sabiu
Mining association rules between lichens and air quality to support urban air quality monitoring in Nigeria
title Mining association rules between lichens and air quality to support urban air quality monitoring in Nigeria
title_full Mining association rules between lichens and air quality to support urban air quality monitoring in Nigeria
title_fullStr Mining association rules between lichens and air quality to support urban air quality monitoring in Nigeria
title_full_unstemmed Mining association rules between lichens and air quality to support urban air quality monitoring in Nigeria
title_short Mining association rules between lichens and air quality to support urban air quality monitoring in Nigeria
title_sort mining association rules between lichens and air quality to support urban air quality monitoring in nigeria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898642/
https://www.ncbi.nlm.nih.gov/pubmed/36747933
http://dx.doi.org/10.1016/j.heliyon.2023.e13073
work_keys_str_mv AT lawalolanrewaju miningassociationrulesbetweenlichensandairqualitytosupporturbanairqualitymonitoringinnigeria
AT ogugbuechimeziejason miningassociationrulesbetweenlichensandairqualitytosupporturbanairqualitymonitoringinnigeria
AT imamtijjanisabiu miningassociationrulesbetweenlichensandairqualitytosupporturbanairqualitymonitoringinnigeria