Air Quality Indexing, Mapping and Principal Components Analysis of Ambient Air Pollutants around Farm Settlements across Ogun State, Nigeria
The focus of this study was to portray the spatial pattern of air quality across seasons in the eight sampled farm settlements using air quality indexes and assess the clusters of monitored air pollutants. The concentrations of air pollutants were determined using in-situ portable gas detectors and...
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| Format: | Article |
| Language: | English |
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Environmental Research Institute, Chulalongkorn University
2021-05-01
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| Series: | Applied Environmental Research |
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| Online Access: | https://ph01.tci-thaijo.org/index.php/saujournalst/www.tci-thaijo.org/index.php/aer/article/view/242685 |
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| author | Funmilola Oyebanji Godson Ana Opeyemi Tope-Ajayi Adebayo Sadiq Yahaya Mijinyawa |
| author_facet | Funmilola Oyebanji Godson Ana Opeyemi Tope-Ajayi Adebayo Sadiq Yahaya Mijinyawa |
| author_sort | Funmilola Oyebanji |
| collection | DOAJ |
| description |
The focus of this study was to portray the spatial pattern of air quality across seasons in the eight sampled farm settlements using air quality indexes and assess the clusters of monitored air pollutants. The concentrations of air pollutants were determined using in-situ portable gas detectors and particulate counter. The AQI for each criteria pollutants (CO, O3, TSP, PM10, SO2, and PM2.5) was calculated using AQI formulae of the United States Environmental Protection Agency and mapped using the Inverse distance weighting (IDW) interpolation method in the Geographic information systems (GIS) environment. Principal component analysis (PCA) was used to group the parameters and estimate the interrelationships between the loadings of the parameters in each component. The AQI ranges of pollutants which deviated from the acceptable good status are CO (71.98 – 238 and 88.85 – 220.93), NO2 (10.14 – 107.07 and 10.84 – 72.88) and PM2.5 (12.90 – 70.85 and 12.56 – 54.02) for the dry and wet seasons, respectively. There were five and four PCs with eigenvalues > 1, accounting for 69.75% and 61.73% of the total variance during the wet and dry season, respectively. The parameters in each component are as follows; PC1 - TSP, PM10, PM2.5, Bacteria and fungi; PC2 - CO and Temperature; PC3 - relative humidity and O3; PC4 - CO2; PC5 - NO2 and SO2 for the wet season and PC1 - TSP, PM10, PM2.5, Bacteria and fungi; PC2 - NH3 and NO2; PC3 - CO2 and O3; PC4 - Temperature and relative humidity during the dry season. Biomass burning, engine exhausts and fine-particulate related activities are sources of air pollution and such may pose negative implication to human health and environment. Therefore, the use of alternative biomass disposal, regular servicing of processing engines and the wearing of protective wears against dust are recommended.
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| first_indexed | 2024-12-10T14:23:05Z |
| format | Article |
| id | doaj.art-018b069398d3411592bcf9ba0d79bb44 |
| institution | Directory Open Access Journal |
| issn | 2287-0741 2287-075X |
| language | English |
| last_indexed | 2024-12-10T14:23:05Z |
| publishDate | 2021-05-01 |
| publisher | Environmental Research Institute, Chulalongkorn University |
| record_format | Article |
| series | Applied Environmental Research |
| spelling | doaj.art-018b069398d3411592bcf9ba0d79bb442022-12-22T01:45:09ZengEnvironmental Research Institute, Chulalongkorn UniversityApplied Environmental Research2287-07412287-075X2021-05-01432Air Quality Indexing, Mapping and Principal Components Analysis of Ambient Air Pollutants around Farm Settlements across Ogun State, NigeriaFunmilola Oyebanji0Godson Ana1Opeyemi Tope-Ajayi2Adebayo Sadiq3Yahaya Mijinyawa4Faculty of Environmental Resources Management, Federal University of Agriculture, Abeokuta, NigeriaFaculty of Public Health, University College Hospital, Ibadan, NigeriaFaculty of Environmental Resources Management, Federal University of Agriculture, Abeokuta, NigeriaFaculty of Environmental Resources Management, Federal University of Agriculture, Abeokuta, NigeriaFaculty of Technology, University of Ibadan, Ibadan, Nigeria. The focus of this study was to portray the spatial pattern of air quality across seasons in the eight sampled farm settlements using air quality indexes and assess the clusters of monitored air pollutants. The concentrations of air pollutants were determined using in-situ portable gas detectors and particulate counter. The AQI for each criteria pollutants (CO, O3, TSP, PM10, SO2, and PM2.5) was calculated using AQI formulae of the United States Environmental Protection Agency and mapped using the Inverse distance weighting (IDW) interpolation method in the Geographic information systems (GIS) environment. Principal component analysis (PCA) was used to group the parameters and estimate the interrelationships between the loadings of the parameters in each component. The AQI ranges of pollutants which deviated from the acceptable good status are CO (71.98 – 238 and 88.85 – 220.93), NO2 (10.14 – 107.07 and 10.84 – 72.88) and PM2.5 (12.90 – 70.85 and 12.56 – 54.02) for the dry and wet seasons, respectively. There were five and four PCs with eigenvalues > 1, accounting for 69.75% and 61.73% of the total variance during the wet and dry season, respectively. The parameters in each component are as follows; PC1 - TSP, PM10, PM2.5, Bacteria and fungi; PC2 - CO and Temperature; PC3 - relative humidity and O3; PC4 - CO2; PC5 - NO2 and SO2 for the wet season and PC1 - TSP, PM10, PM2.5, Bacteria and fungi; PC2 - NH3 and NO2; PC3 - CO2 and O3; PC4 - Temperature and relative humidity during the dry season. Biomass burning, engine exhausts and fine-particulate related activities are sources of air pollution and such may pose negative implication to human health and environment. Therefore, the use of alternative biomass disposal, regular servicing of processing engines and the wearing of protective wears against dust are recommended. https://ph01.tci-thaijo.org/index.php/saujournalst/www.tci-thaijo.org/index.php/aer/article/view/242685Agricultural activitiesAir pollutionHealth risksGeographical information systemOgun |
| spellingShingle | Funmilola Oyebanji Godson Ana Opeyemi Tope-Ajayi Adebayo Sadiq Yahaya Mijinyawa Air Quality Indexing, Mapping and Principal Components Analysis of Ambient Air Pollutants around Farm Settlements across Ogun State, Nigeria Applied Environmental Research Agricultural activities Air pollution Health risks Geographical information system Ogun |
| title | Air Quality Indexing, Mapping and Principal Components Analysis of Ambient Air Pollutants around Farm Settlements across Ogun State, Nigeria |
| title_full | Air Quality Indexing, Mapping and Principal Components Analysis of Ambient Air Pollutants around Farm Settlements across Ogun State, Nigeria |
| title_fullStr | Air Quality Indexing, Mapping and Principal Components Analysis of Ambient Air Pollutants around Farm Settlements across Ogun State, Nigeria |
| title_full_unstemmed | Air Quality Indexing, Mapping and Principal Components Analysis of Ambient Air Pollutants around Farm Settlements across Ogun State, Nigeria |
| title_short | Air Quality Indexing, Mapping and Principal Components Analysis of Ambient Air Pollutants around Farm Settlements across Ogun State, Nigeria |
| title_sort | air quality indexing mapping and principal components analysis of ambient air pollutants around farm settlements across ogun state nigeria |
| topic | Agricultural activities Air pollution Health risks Geographical information system Ogun |
| url | https://ph01.tci-thaijo.org/index.php/saujournalst/www.tci-thaijo.org/index.php/aer/article/view/242685 |
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