The Arabian Peninsula experiences elevated levels of airborne particulate originated from both natural and anthropogenic sources. This study is mainly aimed to determine the ambient levels of TSP, PM10 and PM2.5) at o...The Arabian Peninsula experiences elevated levels of airborne particulate originated from both natural and anthropogenic sources. This study is mainly aimed to determine the ambient levels of TSP, PM10 and PM2.5) at one of the monitoring locations “Al Samha” that is located in the northeast quadrant of UAE. Mass concentrations, particle count, as well as meteorological parameters were simultaneously measured using a spectrometer, PM10 beta attenuation monitor and weather sensors for the period from April 10 to December 31, 2011. The hourly mean concentrations of TSP, PM10, PM2.5-10 and PM2.5 were 245, 110, 64 and 46 μg/m3, respectively. About 34%, 15% and 56% of the monitored days had daily concentrations above the allowable limits for TSP, PM10 and PM2.5, respectively. Diurnal peak occurred at 14:00 for TSP, at 10:00 for PM10, and at 04:00 for PM2.5 reaching values of up to 410, 122, and 54 μg/m3, respectively. The highest concentrations were observed on Saturdays for TSP and PM10, but on Sundays for PM2.5. July had the greatest monthly level of PM compared to other months of this study. The average ratios of PM10/TSP, PM2.5/TSP and PM2.5/PM10 were 0.61, 0.31 and 0.47, respectively. Weak relationships were found between the particle number and mass concentrations, while very strong to moderate correlations were observed among all PM size fractions as well as between TSP and wind speed. The measurement results of the light scattering spectrometer were strongly correlated with the beta attenuation monitor, but the mean value of the spectrometer was higher by 18%.展开更多
Power requirements in the city of Al Mirfa in western Abu Dhabi are covered by the Al Mirfa Power and Distillation Plant. Comprehensive emission inventories for 2007-2008 were used to execute an ENVIMAN (OPSIS AB Comp...Power requirements in the city of Al Mirfa in western Abu Dhabi are covered by the Al Mirfa Power and Distillation Plant. Comprehensive emission inventories for 2007-2008 were used to execute an ENVIMAN (OPSIS AB Company, Sweden) Gaussian dispersion model to predict ambient ground level concentrations of nitrogen oxides (NOx), carbon monoxide (CO), particulate matter (PM10) and sulfur dioxide (SO2) at selected receptors considering all emission sources located in the area. Two years of meteorological data was used in conjunction with the dispersion model to compute NOx and SO2 levels in and around the power plant. To validate the model, computed results were compared with the average values measured at a fixed Air Quality Station in Al Mirfa city. The highest hourly, daily and annual ground level concentrations under exiting meteorological conditions were then analyzed. The computed results for the study area revealed that daily, hourly and annual concentration values did not exceed the Federal Environment Agency (FEA) standard, and the contribution of plant emissions to the ground levels pollutants in the surrounded area range from 3.1 to 109 μg/m3 for NO2, and 1.1 to 41.4 μg/m3 for CO. This study can be considered a baseline study for any future expansion in the plant. Based on these results, mitigation strategies are not required.展开更多
文摘The Arabian Peninsula experiences elevated levels of airborne particulate originated from both natural and anthropogenic sources. This study is mainly aimed to determine the ambient levels of TSP, PM10 and PM2.5) at one of the monitoring locations “Al Samha” that is located in the northeast quadrant of UAE. Mass concentrations, particle count, as well as meteorological parameters were simultaneously measured using a spectrometer, PM10 beta attenuation monitor and weather sensors for the period from April 10 to December 31, 2011. The hourly mean concentrations of TSP, PM10, PM2.5-10 and PM2.5 were 245, 110, 64 and 46 μg/m3, respectively. About 34%, 15% and 56% of the monitored days had daily concentrations above the allowable limits for TSP, PM10 and PM2.5, respectively. Diurnal peak occurred at 14:00 for TSP, at 10:00 for PM10, and at 04:00 for PM2.5 reaching values of up to 410, 122, and 54 μg/m3, respectively. The highest concentrations were observed on Saturdays for TSP and PM10, but on Sundays for PM2.5. July had the greatest monthly level of PM compared to other months of this study. The average ratios of PM10/TSP, PM2.5/TSP and PM2.5/PM10 were 0.61, 0.31 and 0.47, respectively. Weak relationships were found between the particle number and mass concentrations, while very strong to moderate correlations were observed among all PM size fractions as well as between TSP and wind speed. The measurement results of the light scattering spectrometer were strongly correlated with the beta attenuation monitor, but the mean value of the spectrometer was higher by 18%.
文摘Power requirements in the city of Al Mirfa in western Abu Dhabi are covered by the Al Mirfa Power and Distillation Plant. Comprehensive emission inventories for 2007-2008 were used to execute an ENVIMAN (OPSIS AB Company, Sweden) Gaussian dispersion model to predict ambient ground level concentrations of nitrogen oxides (NOx), carbon monoxide (CO), particulate matter (PM10) and sulfur dioxide (SO2) at selected receptors considering all emission sources located in the area. Two years of meteorological data was used in conjunction with the dispersion model to compute NOx and SO2 levels in and around the power plant. To validate the model, computed results were compared with the average values measured at a fixed Air Quality Station in Al Mirfa city. The highest hourly, daily and annual ground level concentrations under exiting meteorological conditions were then analyzed. The computed results for the study area revealed that daily, hourly and annual concentration values did not exceed the Federal Environment Agency (FEA) standard, and the contribution of plant emissions to the ground levels pollutants in the surrounded area range from 3.1 to 109 μg/m3 for NO2, and 1.1 to 41.4 μg/m3 for CO. This study can be considered a baseline study for any future expansion in the plant. Based on these results, mitigation strategies are not required.
