Dumpsite Emissions in Southwestern Nigeria: Assessing the Relationships Between Atmospheric Conditions, Ghgs and Air Pollutant.
Authors
Abolayo Tawakalitu Tope
Department of Environmental Health Science, Federal University of Health Sciences, Ila-Orangun, Osun State, Nigeria. (NG)
Sawyerr, Henry Olawale
Department of Environmental Health Science, Kwara State University, Malete, Nigeria. (NG)
Opasola Olaniyi Afolabi
Department of Environmental Health Science, Kwara State University, Malete, Nigeria (NG)
Article Information
DOI: 10.51583/IJLTEMAS.2025.140500106
Subject Category: Environmental Health
Volume/Issue: 14/5 | Page No: 1013-1017
Publication Timeline
Submitted: 2025-06-26
Published: 2025-06-26
Abstract
Abstract: `Seasonally, this study investigates the relationship between atmospheric parameters (temperature, relative humidity and oxygen) levels of greenhouse gases (GHGs: CH4 and CO2), criteria air pollutants (CAPs: PM2.5, PM10, O3, CO, SO2, and NO2), and other gaseous pollutants (HCHO, NO, NH3, and VOC) at selected dumpsites in metropolitan cities of southwestern Nigeria. The city’s dumping sites (State) were Olusosun Ojota (Lagos), Saje Abeokuta (Ogun), Agodi Ibadan (Oyo), Akure (Ondo), Ado Ekiti (Ekiti), and Osogbo (Osun). The portable meteorological station (Kestrel model: 3000 NV, Boothwyn, USA) measured atmospheric parameters, while the Multimeter BOSEAN T Z01 and AEROQUAL 500 series air quality meter measured the pollutants’ levels. Utilizing correlation heat maps, the analysis revealed significant associations between meteorological parameters and pollutant emissions. During the dry season, methane (CH₄) and carbon dioxide (CO₂) exhibited strong positive correlations with temperature (r = 0.99 and 0.65, respectively), driven by microbial activity under anaerobic conditions. Ammonia (NH₃) and nitric oxide (NO) showed close linkages with CH₄ and CO₂ (r = 0.80–0.88), suggesting shared nitrogen transformation pathways. In the wet season, temperature similarly influenced CH₄ (r = 0.99) and CO₂ (r = 0.81), while combustion related pollutants like nitrogen dioxide (NO₂) and sulfur dioxide (SO₂) displayed near perfect correlations (r = 1.00). Ozone (O₃) exhibited strong inverse relationships with precursors (CO, NO) due to photochemical dynamics. Findings show temperature, microbial processes, and combustion drive pollutant emissions, stressing the need for region-specific waste strategies to mitigate air quality and climate impacts in tropical urban areas.
Keywords
heat maps, climate change, criteria air pollutant, dry and raining season, dumpsite, greenhouse gases
Downloads
References
1. Kaza, S., Yao, L., Bhada-Tata, P. & Van Woerden, F. (2018). What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050. Washington, DC: World Bank. [Google Scholar] [Crossref]
2. IPCC. (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. [Google Scholar] [Crossref]
3. World Bank. (2022). Solid Waste Management in Sub-Saharan Africa. [Online] Available at: https://www.worldbank.org [Accessed date not specified]. [Google Scholar] [Crossref]
4. Nwachukwu, A. N., Chukwuemeka, U. J. & Onyeagocha, C. A. (2020). Open dumpsites and solid waste disposal in Nigeria: Environmental and health impacts. Journal of Environmental Health Science and Engineering, 18(2), pp.1009–1018. https://doi.org/10.1007/s40201-020-00513-3 [Google Scholar] [Crossref]
5. Adelekan, B. A. & Alawode, A. O. (2021). Climate variability and landfill gas emission trends in Southwestern Nigeria. Environmental Monitoring and Assessment, 193(5), 256. https://doi.org/10.1007/s10661-021-09036-8 [Google Scholar] [Crossref]
6. Bogner, J., Themelis, N. J. & Kumar, S. (2019). Waste-to-energy and landfill methane recovery in the context of global waste management. Waste Management & Research, 37(10), pp.959–973. https://doi.org/10.1177/0734242X19869723 [Google Scholar] [Crossref]
7. Scheutz, C., Samuelsson, J., Fredenslund, A. M. & Kjeldsen, P. (2021). Review of landfill methane emissions modelling and monitoring. Waste Management, 131, pp.513–530. https://doi.org/10.1016/j.wasman.2021.05.032 [Google Scholar] [Crossref]
8. Zhang, H., Zhao, L. & Liu, X. (2020). Effects of temperature on greenhouse gas emissions from landfills: A meta-analysis. Journal of Cleaner Production, 255, 120264. [Google Scholar] [Crossref]
9. Amoatey, P., Omidvarborna, H. & Baawain, M. S. (2021). Seasonal variation of GHG emissions from a landfill site in tropical climate. Waste Management, 126, pp.585–594. https://doi.org/10.1016/j.wasman.2021.03.035 [Google Scholar] [Crossref]
10. Tadesse, A., Gebreyesus, T. & Woldeyohannes, B. (2022). Nitrogen emissions from urban waste in humid climates. Environmental Science and Pollution Research, 29(20), pp.30678–30691. [Google Scholar] [Crossref]
11. Olukanni, D. O., Adesina, A. A. & Oladipo, A. O. (2020). Emissions from open burning at Nigerian dumpsites. Journal of Environmental Management, 272, 111094. https://doi.org/10.1016/j.jenvman.2020.111094 [Google Scholar] [Crossref]
12. Seinfeld, J. H. & Pandis, S. N. (2016). Atmospheric Chemistry and Physics: From Air Pollution to Climate Change. 4th ed. Hoboken: Wiley. [Google Scholar] [Crossref]
13. Adeniran, J. A., Olatunji, T. L. & Oladejo, J. O. (2017). Ozone formation and precursor assessment in Nigerian cities. Environmental Science and Pollution Research, 24(25), pp.20213–20230. https://doi.org/10.1007/s11356-017-9867-3 [Google Scholar] [Crossref]
14. Júnior, J. F., Silva, M. C. & Oliveira, R. P. (2019). Emissions dynamics from tropical landfills. Journal of Environmental Management, 231, pp.870–878. https://doi.org/10.1016/j.jenvman.2018.10.095 [Google Scholar] [Crossref]
15. Mouangué, M., Kamgang, V. & Nkeng, G. E. (2021). Methane emissions from tropical landfills: Drivers and mitigation strategies. Science of the Total Environment, 760, 143312. [Google Scholar] [Crossref]
16. Ojuri, O. O., Bankole, T. O. & Akinwumi, I. I. (2018). Landfill gas emissions and climate change mitigation in Nigeria. Sustainability, 10(8), 2745. [Google Scholar] [Crossref]
17. Ogundele, L. T., Oyebanji, F. A. & Abegunde, O. O. (2020). Waste management and greenhouse gas emissions in Sub-Saharan Africa: A systematic review. Environmental Research Letters, 15(12), 123001. [Google Scholar] [Crossref]
18. Adebayo, S. E., Adesina, A. J. & Olarinoye, R. O. (2019). Waste management practices and their implications for greenhouse gas emissions in Sub-Saharan Africa. Environmental Pollution, 246, pp.123–132. [Google Scholar] [Crossref]
19. Adewole, B. A. & Adeyemi, O. (2022). Nitrogen transformation and emission pathways in Nigerian landfills. Journal of Environmental Science and Health, 57(4), pp.345–356. [Google Scholar] [Crossref]
20. Korhonen, P., Pietikäinen, J. & Hyvönen, R. (2019). Landfill emissions in developing countries: A case study from West Africa. Waste Management, 85, pp.432–441. [Google Scholar] [Crossref]
21. Wang, X., Zhang, Y. & Chen, Z. (2021). Secondary pollutants from volatile organic compounds in urban atmospheres: A review. Atmospheric Chemistry and Physics, 21(10), pp.8123–8142. [Google Scholar] [Crossref]
22. Akinbami, J. K., Ilori, M. O. & Adebusoye, S. A. (2020). Atmospheric pollution and urban transport emissions in Lagos, Nigeria. Atmospheric Environment, 230, 117486. [Google Scholar] [Crossref]
23. Obioh, I. B., Oluwole, A. F. & Asubiojo, O. I. (2017). Greenhouse gas emissions from waste management practices in Nigeria. Environmental Monitoring and Assessment, 189(10), pp.1–15. [Google Scholar] [Crossref]
24. Ojekunle, Z. O., Ojekunle, O. V. & Adeyemi, A. (2022). Biogas recovery from municipal solid waste: Opportunities and barriers in Nigeria. Renewable Energy, 184, pp.116–128. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Wind Turbine Design for Low Wind Speed Applications: Advancing Renewable Energy Systems Through Wind Tunnel Experiments
- Fast Identification for Evidences in Crime Scene with Macroscopic Properties and Portable Techniques
- Evaluating the Impact of Hello Interval Timer on OSPF Performance for Real-Time Applications Using OPNET
- The Algorithmic Fortress: Ai-Powered Cybersecurity and Anti-Fraud in The Future of Fintech
- Accident Detection on Curved Roads Using Infrared Sensors in Hilly Regions A Case of Chadoora Tehsil, Badgam (J&K)