Paper Title
Application of Machine Learning for Modelling Concentration and Dispersal of Air Pollutants in Alesa-Eleme, Rivers State Nigeria.
Article Identifiers
Authors
Ahmad, Kabiru , Leton, T. G , Ugbebor, J. N
Keywords
Air pollutants, Meteorological Parameters, Machine Learning, Modelling, Dispersal, Prediction.
Abstract
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.
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How To Cite
"Application of Machine Learning for Modelling Concentration and Dispersal of Air Pollutants in Alesa-Eleme, Rivers State Nigeria.", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 8, page no.d152-d168, August-2023, Available :https://ijnrd.org/papers/IJNRD2308335.pdf
Issue
Volume 8 Issue 8, August-2023
Pages : d152-d168
Other Publication Details
Paper Reg. ID: IJNRD_204174
Published Paper Id: IJNRD2308335
Downloads: 000121180
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
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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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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