Abstract
The petrochemical industry is a major contributor of industrial air pollutants
which are known to have dire consequences on human health and
the environment, neccesitating research into their dispersion and transport.
The objective of the study, therefore, is to simulate the dispersion and transport
of pollutants emitted during the processing of crude oil by the Tema
Oil Renery in the Greater Accra region of Ghana using the California
Pu (CALPUFF) modeling system. This thesis couples the Weather Research
and forecasting Model (WRF) with the non-steady state California
Pu(CALPUFF) modelling system to simulate the dispersion and transport
of emissions from the renery in a coastal urban/industrial area in
Ghana. The mass balance approah was employed to estimate the renery
emission rates which were used as input for the dispersion model. Emission
rates of ve species were estimated - SO2, NO2, PM2:5, CO2 and VOCs.
The transport and dispersion of SO2, NO2 and PM2:5 were modelled over
the period between 2008 - 2013 and their impact on 38 identied receptors
investigated. Simulation results showed that the radius of impact of the
emissions is approximately 10 km. As a result of the prevailing predominant
south-westerly winds in the study area, concentrations of emissions at
receptors located upwind of the emission source were found to be higher as
the winds carried the pollutant clouds in their direction. Conversely, south
and south-western receptors, relative to the renery, on the other hand, were minimally impacted. Concentrations of SO2 and NO2 at 2 out of the
38 receptors exceeded the regulatory limit of the World Health Organisation
and Ghana's Environmental Protection Agency. It can be concluded,
therefore, that SO2 and NO2 emissions from the renery do not pose any
danger to the larger population and the general environment nearby. PM2:5
levels at 36 receptors however exceeded the WHO guideline value leading
to the conclusion that the renery operations could pose some dangers
to the environment regarding PM2:5. The dispersion model results were
compared with measurements at the same location in order to validate
the model. Similarly, observations from two meteorological stations were
compared with results from the meteorological model. The performance
evaluation, with the aid of statistical measures revealed that the models'
performance were acceptable.
AFFUM, H (2021). Numerical Simulation of Dispersion of Emissions from Tema Oil Renery. Afribary. Retrieved from https://afribary.com/works/numerical-simulation-of-dispersion-of-emissions-from-tema-oil-re-nery
AFFUM, HANNAH "Numerical Simulation of Dispersion of Emissions from Tema Oil Renery" Afribary. Afribary, 19 Apr. 2021, https://afribary.com/works/numerical-simulation-of-dispersion-of-emissions-from-tema-oil-re-nery. Accessed 22 Nov. 2024.
AFFUM, HANNAH . "Numerical Simulation of Dispersion of Emissions from Tema Oil Renery". Afribary, Afribary, 19 Apr. 2021. Web. 22 Nov. 2024. < https://afribary.com/works/numerical-simulation-of-dispersion-of-emissions-from-tema-oil-re-nery >.
AFFUM, HANNAH . "Numerical Simulation of Dispersion of Emissions from Tema Oil Renery" Afribary (2021). Accessed November 22, 2024. https://afribary.com/works/numerical-simulation-of-dispersion-of-emissions-from-tema-oil-re-nery