+44 (0)1509 263171
Please use this identifier to cite or link to this item:
|Title: ||SO2 and NOx emissions from Kuwait power stations in years 2001 and 2004 and evaluation of the impact of these emissions on air quality using Industrial Sources Complex Short Term (ISCST) model|
|Authors: ||Al-Azmi, Bader N.|
Khan, Abdul R.
|Issue Date: ||2009|
|Publisher: ||© Springer Verlag|
|Citation: ||AL-AZMI, B.N., NASSEHI, V. and KHAN, A.R., 2009. SO2 and NOx emissions from Kuwait power stations in years 2001 and 2004 and evaluation of the impact of these emissions on air quality using Industrial Sources Complex Short Term (ISCST) model. Water Air and Soil Pollution, 203(1-4), pp. 169-178.|
|Abstract: ||Comprehensive emission inventories for 2001 and 2004 for Kuwait’s main power stations located at Al-Doha and Al-Subyia have been prepared. These inventories are inserted, in conjunction with meteorological data, into the Source Complex model for Short Term Dispersion (ISCST4.5) to predict ambient ground level concentrations of
sulphur dioxide (SO2) and nitrogen oxides (NOx) at selected receptors for years 2001 and
2004. The comparison of the results obtained for these two years show the influence of increase in emission rates due to urban and industrial growth. For model validation, computed results are compared with the measured daily average values of SO2 and NOx collected at a fixed Kuwait Environment Protection Agency air quality monitoring station located at the roof of polyclinic in Rabia. Individual contributions of each power station to the highest predicted values are assessed. The five highest hourly, daily and annual ground level concentration values under prevailing meteorological conditions are compared for 2001 and 2004. It is found that the hourly mean concentrations are strongly
influenced by the prevailing meteorological conditions. The effect of meteorological
conditions has not been that dominant for the daily and annual mean values and the
predicted values for 2004 are higher than 2001, simply corresponding to a high emission
rates, especially in summer months. Top fifty daily average values show a slope of 0.806
for 2001 which means that the model predictions are 20% less than the observed levels.
However, the predicted slope for 2004 is 0.96 and the model predictions are in very close
agreement with the observed data.|
|Description: ||This article was published in the journal, Water Air and Soil Pollution [© Springer].The original publication is available at www.springerlink.com|
|Version: ||Accepted for publication|
|Appears in Collections:||Published Articles (Chemical Engineering)|
Files associated with this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.