IJESD 2023 Vol.14(2): 111-118
doi: 10.18178/ijesd.2023.14.2.1422

Simulation of Fine Particulate Matter Dispersion from the Grand Cereals Industry Jos, Nigeria Using a Modified Gaussian Plume Model

Tyoyima John Ayua1,* , Aondongu Alexander Tyovenda2 , Emmanuel Vezua Tikyaa2 , Shehu Balarabe3

  • 1the Department of Physical and Natural Sciences, University of The Gambia, Brikama Campus, The Gambia
  • 2the Department of Physics, Federal University of Agriculture, Makurdi, Benue State, Nigeria
  • 3the Department of Applied Physics, Kaduna Polytechnic, Tudun Wada, Kaduna, Nigeria

* Corresponding author

  • Manuscript receivedMay 30, 2022
  • revisedJune 30, 2022
  • acceptedJuly 11, 2022

Abstract

Air pollution in Jos, Nigeria, is concerning due to a variety of anthropogenic sources which expose residents to possible respiratory health risks. Good emission source data and an understanding of all elements connected to air pollution is the foundation for successful pollution abatement. The study established a model for crosswind-integrated concentrations by solving the advection-diffusion equation using the reducible and irreducible techniques and utilizes it to forecast the concentration of PM<sub>X</sub> pollutants released from a stack in Jos, Nigeria. Data was collected from the Grand Cereals environment using a Handheld Portable Particle Counter for PM<sub>x</sub> with model number CW-HAT 200 for a year. High values of fine particulates recorded in the study are worrisome because they represent a threat to human health. Moreover, the monitored and modeled results evidenced a higher risk for human health in specific points, particularly areas less than 100m away from the stack which is seen as deriving from the stack emissions. Electrostatic precipitators or mist collectors can be installed to reduce the PM<sub>X</sub> emissions and its impact on human health. We proposed that the boiler stack be replaced with a taller one and that people living and working near the industry wear a nasal mask to mitigate inhaling dangers. The model performs better in estimating PM<sub>2.5</sub> concentrations under unstable conditions and is recommended for PM<sub>2.5</sub> monitoring.

Keywords

  • Analytical model
  • fine particulate pollutant
  • grand cereals jos
  • PM X variation and distribution
IJESD-V14N2-1422

How to Cite

Copied

Tyoyima John Ayua, Aondongu Alexander Tyovenda, Emmanuel Vezua Tikyaa, and Shehu Balarabe, "Simulation of Fine Particulate Matter Dispersion from the Grand Cereals Industry Jos, Nigeria Using a Modified Gaussian Plume Model," International Journal of Environmental Science and Development, vol. 14, no. 2, pp. 111-118, 2023. https://doi.org/10.18178/ijesd.2023.14.2.1422

Copyright & License

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Article Metrics in Dimensions