Authors : Ahmed, A. S.; Bello, Y.; Jidauna, G. G.; Etsuyankpa, M. B.; Francis, C. I.

Volume/Issue : Volume 10 - 2025, Issue 8 - August

Google Scholar : https://tinyurl.com/yc34yrm7

Scribd : https://tinyurl.com/y86ycwju

DOI : https://doi.org/10.38124/ijisrt/25aug437

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 30 to 40 days to display the article.

Abstract : The study analyses and mapped the spatio-temporal variation of ambient air pollution in Minna town. The spatio- temporal pattern of ambient air pollution level and identify air quality index in Minna town. Primary and secondary data were used. Portable handheld Aeroqual’s Series 500 was used to take readings in parts per million (ppm) for gaseous air pollutants (PM2.5, PM10 and CH4) across selected sampled locations. Geographical information system (GIS) was used to analyzed the data. The total variance explained pollution causal parameter was 63.1% and the key index identified was Green House Gases (GHGs). Concentration levels of PM10um particulate matter were recorded around Dutsin- Kura junction and Kure market (> 0.0078ppm), followed by Kasuwa gwari market. The least concentration was of PM10 NNPC Mega station, City gate. The PM2.5 concentration was observed to be higher in Kasuwan Gwari Market, Dutsinkura junction, City Gate Shango and Gbeganu Junction Bida road while the lowest concentration of PM2.5 was observed around College of Education locations like Kasuwan Gwari market, Dutsin kura junction, and Kure market recorded very high level (1084.61, 1086.72, and 1099.82 ppm) of CH4 respectively during dry seasons. The study conclude that. pollutants concentration varies over space and time in Minna town. The findings recommend clean energy for the inhabitants in order to reduce release of pollutants into the environment from their means of livelihood.

Keywords : Temporal, Pollutant, Concentration and Location.

References :

1. Anon, B. (2021). Chromium Dust Deposition on Plant Leaves in Sekhukhuneland , South     Africa , and the Importance of Leaf Traits S Adhikari Thesis Submitted in Fulfilment   of the Requirements for the Degree Promoter. 26-57
2. Bessagnet, B., Nadine, A., Jean, P.P., Florian, C., Jean Marc, A., David, S., Enrico, P.,          Benjamin, N. M., and Philippe, T., (2022). “Emissions of Carbonaceous Particulate        Matter and Ultrafine Particles from Vehicles .A Scientific Review in a Cross-Cutting        Context of Air Pollution and Climate Change.” Applied Sciences (Switzerland) 12(7).       doi: 10.3390/app12073623.
3. Chauhan, P.K., Kumar,A., Pratap, V. and Singh, A.K. (2022). Seasonal characteristics of      PM₁ , PM. _2.5, and PM₁₀ overVaranasi during 2019-2020. Front. Sustain. ; 1-16 doi:10.1201/9781003304869-6
4. Espanol F.P. (2019). Ambient (outdoor) air pollution. Ambient Air Quality Database; 19
5. Joshi, N. (2022).Dust Pollution and Plants: A Case Study of Mumbai, Maharashtra,               India.Plant Metabolites under Environmental Stress 85–115.
6. Joshi, N. (2022).Dust Pollution and Plants: A Case Study of Mumbai, Maharashtra, India.Plant Metabolites under Environmental Stress 85–115. doi: 10.1201/9781003304869-6.
7. Kalander,E.A., and  Al-Harahsheh,S.(2023).Spatial and Seasonal Variations of the Particulate Matters (PM10)  selected sites the State of Kuwait Air within the Period 2010–2014;    14 -17
8. Kalander,E.A., and  Al-Harahsheh,S.(2023).Spatial and Seasonal Variations of the Particulate Matters (PM10)  selected sites the State of Kuwait Air within the Period 2010–2014;    14 -17
9. Lee,S., Lee,H., Kim,S., Kim,N., Jo,M., Song,C., Kim, H., Kang,H., Seo,Y., Shin,H.,  Choi,S.(2020).Mapping the spatial distribution of primary and    secondary PM_2.5 in a multi-industrial city by combining monitoring and modeling              results
10. Manisalidis, I., Stavropoulou, E., Stavropoulos, A. and Bezirtzoglou, E. (2020). Environmental          and Health Impacts of Air Pollution: A Review. Front. Public Health 10.3389/fpubh.2020.00014
11. Raimi, M.O., Tonye, V., Odubo O.A.O, Oluwaseun, and E.O. (2018). Environmental health                and climate change in Nigeria. World Congress on Global Warming. Valencia, Spain;   19
12. Rana, S.S., Chopra, P. (2013). Integrated farming system. Department of Agronomy, College              of Agriculture, CSK Himachal Pradesh Krishi Vishvavidyalaya: Palampur, India; 83- 86
13. Rusmili, S.H.A.; Mohamad Hamzah, F., Choy, L.K., Azizah, R., Sulistyorini, L., Yudhastuti,              R., Chandraning Diyanah, K., Adriyani, R., and Latif, M.T. (2023).Ground-Level Particulate Matter (PM_2.5) Concentration Mapping in the Central and South Zones of   Peninsular Malaysia Using a Geostatistical Approach. Sustainability.;1-17 https://doi.org/10.3390/ su152316169
14. Rusmili, S.H.A.; Mohamad Hamzah, F., Choy, L.K., Azizah, R., Sulistyorini, L., Yudhastuti,              R., Chandraning Diyanah, K., Adriyani, R., Latif, M.T. (2023).Ground-Level         Particulate Matter (PM_2.5) Concentration Mapping in the Central and South Zones of   Peninsular Malaysia Using a Geostatistical Approach. Sustainability.;1-17 https://doi.org/10.3390/ su152316169
15. Ugonabo,O.J., Ugwu,E.B.I., and  Okoro,E.C.,(2023). Identification of the spatial patterns of                air pollution and its sources in Ogui New Layout, South-East of Nigeria, using remote              sensing and GIS technology. Scientific Research and Essays.  18(4); 56-64
16. Vaddiraju,S.C. (2019).Mapping of Air Pollution Using GIS: A Case Study of Hyderabad.    International Journal of Research in Advent Technology, 7(5); 482- 486
17. Wakili, B. Y; Nsofor G.N; Suleiman, Y. M; Mohammed. A. E (2017). Effects of    Anthropogenic Activities and Eutrophication along River Chanchaga, Minna, Nigeria.                Asian Review of Environmental and Earth Sciences, 4(1): 58-64