Open Access Peer-reviewed Research Article

Seasonal Variations of Air Quality Measurements of Aba Metropolis and Suburbs Using MATLAB and ANN

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Submitted   Jul 20, 2025
Published   Nov 3, 2025
Issue    Vol 7 No 1 (2025)
DOI   10.25082/REIE.2025.01.006

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B. M. Adiele
Department of Chemistry, Rhema University, Aba, Abia State, Nigeria
U. U. Egereonu corresponding author
Department of Chemistry, Federal University of Technology, Owerri, Nigeria
C. O. Alisa
Department of Chemistry, Federal University of Technology, Owerri, Nigeria
U. C. Onyeije
Department of Chemistry, Rhema University, Aba, Abia State, Nigeria
S. K. Egereonu
Department of Information Technology, Federal University of Technology, Owerri, Nigeria

Abstract

Air pollution is a major life-threatening problem in industrialized and commercially vibrant cities like Aba metropolis and its suburbs in Abia State Nigeria. The study of selected air pollutants in these areas were performed using Matrix Laboratory (MATLAB) and Artificial Neural Networks (ANN) pollution models. Primary data was collected by conducting sampling analysis on air samples during dry and rainy seasons from 2024 and 2025. MATLAB and ANN pollution models were generated by integrating measurements and spatial databases using polynomial expressions. The MATLAB 7th degree linear regression polynomial described the relationship between dependent and independent variables for the pollutants. The correlation methods verified that most MATLAB models could accurately predict or forecast concentration levels. Also the Artificial Neural Network demonstrated tracking of the actual plots on MATLAB. The analysis of variance (ANOVA) was also deployed which showed p < 0.05 for carbon monoxide (CO), nitrogen dioxide (NO2), sulphur dioxide (SO2), and total particulate matter (TPM), indicating that, there was a significant impact by the seasons on the concentrations of  all gaseous pollutants under study(i.e. seasonal variations of concentration was highly affected by the two seasons). ANN was able to track all gaseous pollutants represented by MATLAB successfully above 50%.

Keywords
air quality, pollutants, MATLAB, ANN, ANOVA

Article Details

Supporting Agencies
We acknowledge the Technologists of the Department of Chemistry Federal University of Technology, Owerri, Imo State, and Rhema University Aba, Abia State, Nigeria for their technical support.
How to Cite
Adiele, B. M., Egereonu, U. U., Alisa, C. O., Onyeije, U. C., Egereonu, S. K., Nwokonkwo, O. C., Onu, U. L., Onwuka, C., Emeagubor, A. O., & Enyia, C. (2025). Seasonal Variations of Air Quality Measurements of Aba Metropolis and Suburbs Using MATLAB and ANN. Resources Environment and Information Engineering, 7(1), 411-422. https://doi.org/10.25082/REIE.2025.01.006
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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