Application of Machine Learning for Modelling Concentration and Dispersal of Air Pollutants in Alesa-Eleme, Rivers State Nigeria.

Registration ID: IJNRD_204174

Published ID: IJNRD2308335

DOI: Click Here to Get

Ahmad, Kabiru , Leton, T. G , Ugbebor, J. N

Air pollutants, Meteorological Parameters, Machine Learning, Modelling, Dispersal, Prediction.

This research was conducted to explore the use of machine learning approach in modeling the relationship between air pollutants (CO2, VOC, PM10,) and meteorological parameters (Wind Speed, Air temperature, Solar Radiation) in Alesa-Eleme, River State. The data was gathered using AQM 65 at three (3) sites spread over the study area for a period of fourteen (14) Months. Statistical analysis of the data reveled the relationship between air pollutants concentrations and meteorological parameters. The correlated parameters were subjected to Machine Learning (ML) techniques; RF, NB, ANN, SVM and LR to predict concentration and dispersal of air pollutants in relation to meteorological dynamics. The five ML technique were evaluated and validated, and the result showed that RF was more accurate than the other considered ML techniques, and therefore was used in the prediction of pollutants concentration and dispersal using Orange Canvas and WEKA software. Applying the RF, pollutants concentrations were estimated with CA of 0.874 and Precision of 0.881. This implies that the application of ML concept using high quality and accurate data can bring more advances in Nigeria not only for air quality prediction, but any type of environmental monitoring to help preparedness, raise awareness and build resilient Environmental Management System, especially in areas more prone to industrial pollution.

Published Paper   E-Certificate

Ahmad, Kabiru, Leton, T. G, & Ugbebor, J. N (August-2023). Application of Machine Learning for Modelling Concentration and Dispersal of Air Pollutants in Alesa-Eleme, Rivers State Nigeria.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(8), d152-d168. https://ijnrd.org/papers/IJNRD2308335.pdf

Volume 8 Issue 8, August-2023

Pages : d152-d168

Paper Reg. ID: IJNRD_204174

Published Paper Id: IJNRD2308335

Downloads: 000121992

Research Area: Science & Technology

Country: University of Port Harcourt, Rivers State, Nigeria

Published Paper PDF: https://ijnrd.org/papers/IJNRD2308335.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2308335

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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