The
performance of the California Puff (CALPUFF) modelling system has been
evaluated using a case study in Ghana. The performance evaluation consisted of
a quantitative comparison of dispersion simulation results of SO2 and NO2 with measurements at the Tema Oil Refinery, and
meteorological simulation results with observations from the Tema
Meteorological Station, both in the Greater Accra region of Ghana. Four
statistical indicators—Index of Agreement (IOA), Fractional
Bias (FB), Normalized Mean Square Error (NMSE) and the Pearson correlation
coefficient(R) employed in the assessment indicate sufficient reliability of
both CALPUFF and its meteorological simulator, CALMET. IOA values of 0.73 and
0.67 and FB values of 1.65 and 1.42 were obtained for SO2 and NO2 respectively. IOA between measured and modelled emissions were 0.72 and 0.69
for SO2 and NO2 respectively. The correlations between
the simulated and observed emission were 0.66 and 0.08 for SO2 and
NO2 respectively. An IOA value of 0.66 was obtained for both wind
speed and wind direction with correlations of 0.29 and 0.58 in comparison with
observations from the meteorological station.
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Affum, H.A., Brunetti, A., Niemela, J.J., Armenio, V., Akaho, E.H.K. and. Danso, K.A. (2015) Preliminary Simulation of Dispersion and Deposition of Refinery Emissions over an Industrial Area in Ghana. The African Review of Physics, 10, 0029.
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