On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria

Kazeem Olalekan Obisesan; Oladapo Muyiwa Oladoja

doi:doi:10.11648/j.ijsd.20220802.11

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On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria

Kazeem Olalekan Obisesan, Oladapo Muyiwa Oladoja

Published in International Journal of Statistical Distributions and Applications (Volume 8, Issue 2)

Received: 6 April 2022 Accepted: 19 April 2022 Published: 10 May 2022

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Abstract

Normal processes produce random variables with a normal distribution, which is the most important model in statistics. Due to the constant speed and direction of the carrier medium, a continuous source releases particles like environmental pollutants in drift be it in the air, water or soil. By differentiating the normal density function, this study used the knowledge of the plume model to build two separate paths of utilizing Gaussian probability density function with mean of zero to show that it meets the diffusion equation from physical principles through the knowledge of a Brownian motion in monitoring emissions of carbon monoxide from different sources in the most populous black country. Carbon monoxide emissions from manufacturing industries and construction (MIC), fugitive emissions from solid fuels (FESO), and agricultural waste burning (AWB) are all higher than other sources in Nigeria, according to this research. Rail transportation (RAIL) is the lowest source of carbon monoxide emissions, and pollution diffusion in the country follows a predictable pattern in form of a normal process. The magnitude of the standard deviations affects the precision of confidence intervals used to estimate mean pollutant concentrations. Decision-makers in the country will know which sectors to focus on in order to reduce carbon monoxide emissions.

Published in	International Journal of Statistical Distributions and Applications (Volume 8, Issue 2)
DOI	10.11648/j.ijsd.20220802.11
Page(s)	24-29
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Gaussian Density Function, Fugitive Emissions, Agricultural Waste, Rail Transportation, Pollutant Concentrations

References

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APA Style

Kazeem Olalekan Obisesan, Oladapo Muyiwa Oladoja. (2022). On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria. International Journal of Statistical Distributions and Applications, 8(2), 24-29. https://doi.org/10.11648/j.ijsd.20220802.11

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ACS Style

Kazeem Olalekan Obisesan; Oladapo Muyiwa Oladoja. On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria. Int. J. Stat. Distrib. Appl. 2022, 8(2), 24-29. doi: 10.11648/j.ijsd.20220802.11

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AMA Style

Kazeem Olalekan Obisesan, Oladapo Muyiwa Oladoja. On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria. Int J Stat Distrib Appl. 2022;8(2):24-29. doi: 10.11648/j.ijsd.20220802.11

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@article{10.11648/j.ijsd.20220802.11,
  author = {Kazeem Olalekan Obisesan and Oladapo Muyiwa Oladoja},
  title = {On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria},
  journal = {International Journal of Statistical Distributions and Applications},
  volume = {8},
  number = {2},
  pages = {24-29},
  doi = {10.11648/j.ijsd.20220802.11},
  url = {https://doi.org/10.11648/j.ijsd.20220802.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20220802.11},
  abstract = {Normal processes produce random variables with a normal distribution, which is the most important model in statistics. Due to the constant speed and direction of the carrier medium, a continuous source releases particles like environmental pollutants in drift be it in the air, water or soil. By differentiating the normal density function, this study used the knowledge of the plume model to build two separate paths of utilizing Gaussian probability density function with mean of zero to show that it meets the diffusion equation from physical principles through the knowledge of a Brownian motion in monitoring emissions of carbon monoxide from different sources in the most populous black country. Carbon monoxide emissions from manufacturing industries and construction (MIC), fugitive emissions from solid fuels (FESO), and agricultural waste burning (AWB) are all higher than other sources in Nigeria, according to this research. Rail transportation (RAIL) is the lowest source of carbon monoxide emissions, and pollution diffusion in the country follows a predictable pattern in form of a normal process. The magnitude of the standard deviations affects the precision of confidence intervals used to estimate mean pollutant concentrations. Decision-makers in the country will know which sectors to focus on in order to reduce carbon monoxide emissions.},
 year = {2022}
}

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TY  - JOUR
T1  - On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria
AU  - Kazeem Olalekan Obisesan
AU  - Oladapo Muyiwa Oladoja
Y1  - 2022/05/10
PY  - 2022
N1  - https://doi.org/10.11648/j.ijsd.20220802.11
DO  - 10.11648/j.ijsd.20220802.11
T2  - International Journal of Statistical Distributions and Applications
JF  - International Journal of Statistical Distributions and Applications
JO  - International Journal of Statistical Distributions and Applications
SP  - 24
EP  - 29
PB  - Science Publishing Group
SN  - 2472-3509
UR  - https://doi.org/10.11648/j.ijsd.20220802.11
AB  - Normal processes produce random variables with a normal distribution, which is the most important model in statistics. Due to the constant speed and direction of the carrier medium, a continuous source releases particles like environmental pollutants in drift be it in the air, water or soil. By differentiating the normal density function, this study used the knowledge of the plume model to build two separate paths of utilizing Gaussian probability density function with mean of zero to show that it meets the diffusion equation from physical principles through the knowledge of a Brownian motion in monitoring emissions of carbon monoxide from different sources in the most populous black country. Carbon monoxide emissions from manufacturing industries and construction (MIC), fugitive emissions from solid fuels (FESO), and agricultural waste burning (AWB) are all higher than other sources in Nigeria, according to this research. Rail transportation (RAIL) is the lowest source of carbon monoxide emissions, and pollution diffusion in the country follows a predictable pattern in form of a normal process. The magnitude of the standard deviations affects the precision of confidence intervals used to estimate mean pollutant concentrations. Decision-makers in the country will know which sectors to focus on in order to reduce carbon monoxide emissions.
VL  - 8
IS  - 2
ER  -

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Author Information

Kazeem Olalekan Obisesan

Department of Statistics, University of Ibadan, Ibadan, Nigeria
Oladapo Muyiwa Oladoja

Department of Mathematics and Statistics, First Technical University, Ibadan, Nigeria

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Plain Text BibTeX RIS

APA Style

Kazeem Olalekan Obisesan, Oladapo Muyiwa Oladoja. (2022). On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria. International Journal of Statistical Distributions and Applications, 8(2), 24-29. https://doi.org/10.11648/j.ijsd.20220802.11

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ACS Style

Kazeem Olalekan Obisesan; Oladapo Muyiwa Oladoja. On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria. Int. J. Stat. Distrib. Appl. 2022, 8(2), 24-29. doi: 10.11648/j.ijsd.20220802.11

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AMA Style

Kazeem Olalekan Obisesan, Oladapo Muyiwa Oladoja. On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria. Int J Stat Distrib Appl. 2022;8(2):24-29. doi: 10.11648/j.ijsd.20220802.11

Copy | Download

@article{10.11648/j.ijsd.20220802.11,
  author = {Kazeem Olalekan Obisesan and Oladapo Muyiwa Oladoja},
  title = {On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria},
  journal = {International Journal of Statistical Distributions and Applications},
  volume = {8},
  number = {2},
  pages = {24-29},
  doi = {10.11648/j.ijsd.20220802.11},
  url = {https://doi.org/10.11648/j.ijsd.20220802.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20220802.11},
  abstract = {Normal processes produce random variables with a normal distribution, which is the most important model in statistics. Due to the constant speed and direction of the carrier medium, a continuous source releases particles like environmental pollutants in drift be it in the air, water or soil. By differentiating the normal density function, this study used the knowledge of the plume model to build two separate paths of utilizing Gaussian probability density function with mean of zero to show that it meets the diffusion equation from physical principles through the knowledge of a Brownian motion in monitoring emissions of carbon monoxide from different sources in the most populous black country. Carbon monoxide emissions from manufacturing industries and construction (MIC), fugitive emissions from solid fuels (FESO), and agricultural waste burning (AWB) are all higher than other sources in Nigeria, according to this research. Rail transportation (RAIL) is the lowest source of carbon monoxide emissions, and pollution diffusion in the country follows a predictable pattern in form of a normal process. The magnitude of the standard deviations affects the precision of confidence intervals used to estimate mean pollutant concentrations. Decision-makers in the country will know which sectors to focus on in order to reduce carbon monoxide emissions.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - On Normal Process of Diffusion Equation in Monitoring Carbon Monoxide Concentrations in Nigeria
AU  - Kazeem Olalekan Obisesan
AU  - Oladapo Muyiwa Oladoja
Y1  - 2022/05/10
PY  - 2022
N1  - https://doi.org/10.11648/j.ijsd.20220802.11
DO  - 10.11648/j.ijsd.20220802.11
T2  - International Journal of Statistical Distributions and Applications
JF  - International Journal of Statistical Distributions and Applications
JO  - International Journal of Statistical Distributions and Applications
SP  - 24
EP  - 29
PB  - Science Publishing Group
SN  - 2472-3509
UR  - https://doi.org/10.11648/j.ijsd.20220802.11
AB  - Normal processes produce random variables with a normal distribution, which is the most important model in statistics. Due to the constant speed and direction of the carrier medium, a continuous source releases particles like environmental pollutants in drift be it in the air, water or soil. By differentiating the normal density function, this study used the knowledge of the plume model to build two separate paths of utilizing Gaussian probability density function with mean of zero to show that it meets the diffusion equation from physical principles through the knowledge of a Brownian motion in monitoring emissions of carbon monoxide from different sources in the most populous black country. Carbon monoxide emissions from manufacturing industries and construction (MIC), fugitive emissions from solid fuels (FESO), and agricultural waste burning (AWB) are all higher than other sources in Nigeria, according to this research. Rail transportation (RAIL) is the lowest source of carbon monoxide emissions, and pollution diffusion in the country follows a predictable pattern in form of a normal process. The magnitude of the standard deviations affects the precision of confidence intervals used to estimate mean pollutant concentrations. Decision-makers in the country will know which sectors to focus on in order to reduce carbon monoxide emissions.
VL  - 8
IS  - 2
ER  -

Copy | Download