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Validating the California Puff (CALPUFF) Modelling System Using an Industrial Area in Accra, Ghana as a Case Study

Validating the California Puff (CALPUFF) Modelling System Using an Industrial Area in Accra, Ghana as a Case Study
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摘要 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 SO<sub>2</sub> and NO<sub>2 </sub>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 SO<sub>2</sub> and NO<sub>2</sub> respectively. IOA between measured and modelled emissions were 0.72 and 0.69 for SO<sub>2</sub> and NO<sub>2</sub> respectively. The correlations between the simulated and observed emission were 0.66 and 0.08 for SO<sub>2</sub> and NO<sub>2 </sub>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. 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 SO<sub>2</sub> and NO<sub>2 </sub>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 SO<sub>2</sub> and NO<sub>2</sub> respectively. IOA between measured and modelled emissions were 0.72 and 0.69 for SO<sub>2</sub> and NO<sub>2</sub> respectively. The correlations between the simulated and observed emission were 0.66 and 0.08 for SO<sub>2</sub> and NO<sub>2 </sub>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.
作者 H. A. Affum E. H. K. Akaho J. J. Niemela V. Armenio K. A. Danso H. A. Affum;E. H. K. Akaho;J. J. Niemela;V. Armenio;K. A. Danso(Department of Nuclear Sciences and Application, School of Nuclear and Allied Sciences, University of Ghana, Legon, Ghana;Department of Nuclear Engineering, School of Nuclear and Allied Sciences, University of Ghana, Legon, Ghana;Applied Physics Section, International Centre for Theoretical Physics, Trieste, Italy;Dipartimento di Ingegneria e Architettura, Universita di Trieste, Trieste, Italia)
出处 《Open Journal of Air Pollution》 2016年第1期27-36,共10页 大气污染开放期刊(英文)
关键词 Performance Evaluation EMISSIONS DISPERSION OBSERVATIONS Performance Evaluation Emissions Dispersion Observations
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