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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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 |
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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 |
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