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Articles by V. Nassehi
Total Records ( 4 ) for V. Nassehi
  Bader N. Al-Azmi , V. Nassehi and A. R. Khan
  The hourly air pollutants concentrations were measured continuously by fixed ambient air stations located over the polyclinics in Rabia area in Capital Governorate in the State of Kuwait. The focus of this investigation is to determine the pollution levels of SO2, NO2 and O3 in year 2001 and 2004 to assess the pollution trends. The recorded data are used in identification of the most probable sources of these pollutants. The pollutants levels were compared to evaluate exceedances of Kuwait Environmental Authority Standards. The diurnal patterns were also analyzed for different seasons for two years 2001 and 2004. Weekdays and weekend variation on Ozone pollution has been thoroughly investigated. It is observed that SO2, NO2 and O3 levels were higher in year 2001 as compare to year 2004 due to the application of various mitigation strategies such as relocation of car auction market and transport depot, which were located in the northwestern side of Rabia area with distance of 2 km. The traffic volume all over the country has increased by substantial amount increasing NOx and ozone precursor emissions, which showed the complex balance of NOx and O3. The O3 levels of the daytime hours from April to September period has shown high buildup on weekend as compare to weekdays due to the least traffic density on the roads.
  Khaireyah Kh. AL-Hamad , V. Nassehi and A.R. Khan
  Air pollution and its effects on the ecosystem has been a source of concern for many environmental pollution organizations in the world. In particular climatologists who are not directly involved in petroleum industry sometimes express concerns about the environmental impacts of gas emissions from flaring at well heads. For environmental and resource conservation reasons, flaring should always be minimized as much as practicable and consistent with safety considerations. However, any level of flaring has a local environmental impact, as well as producing emissions which have the potential to contribute to the global warming. In the present research the Industrial Source Complex (ISCST3) Dispersion Model is used to calculate the ground level concentrations of two selected primary pollutants (i.e. methane and non-methane hydrocarbons) emitted due to flaring in all of Kuwait Oilfields. In additional, the performance of the ISCST3 model is assessed, by comparing the model prediction with the observed concentration of methane and non-methane hydrocarbons obtained from the monitoring sites. The described model evaluation is based on the comparison of 50 highest daily measured and predicted concentrations of methane and non-methane hydrocarbons. The overall conclusion of this comparison is that the model predictions are in good agreement with the observed data (accuracy range of 60-95%) from the monitoring stations maintained by the Kuwait Environmental Public Authority (EPA). A specific important conclusion of this study is that, there is a need for a proper emission inventory strategy for Kuwait Oil Company (KOC) as means of monitoring and minimizing the impact of methane and non-methane hydrocarbons released because of flaring activities.
  Khaireyah Kh. AL-Hamad , V. Nassehi and A.R. Khan
  Air pollution and its effects on the ecosystem has been a source of concern for many environmental pollution organizations in the world. In particular climatologists who are not directly involved in petroleum industry sometimes express concerns about the environmental impacts of gaseous emissions from flaring at various despised points. For environmental and resource conservation reasons, flaring should always be minimized as much as practicable and be consistent with safety considerations. However, any level of flaring has a local environmental impact, as well as producing emissions which have the potential to contribute to the global warming. In this study the Industrial Source Complex (ISCST3) Dispersion Model is used to calculate the ground level concentrations of two selected primary pollutants (i.e. methane and non-methane hydrocarbons) emitted from flaring activities at oil production facilities at North Kuwait. Model validation is based on the comparison of the 50 highest daily measured values and their respective predicted concentrations of methane and non-methane hydrocarbons. At discrete receptors, it is noticed that the predicted values are in good agreement with the observed data (accuracy range of 60-90%) from the monitoring stations maintained by the Kuwait Environmental Public Authority (EPA). The predicted results are based on emission inventories. Therefore, accurate emission inventory strategy for Kuwait Oil Company (KOC) as means of monitoring and minimizing the impact of methane and non-methane hydrocarbons emissions is of prime importance.
  Bader N. Al-Azmi , V. Nassehi and A.R. Khan
  In Kuwait, two main power stations, one comprising of seven-300MW steam generators at Doha and other with eight-300MW steam generators at Subyia cover the major power requirement of Kuwait city. These stations used different types of fuel oil as the prime source of energy that has different sulpher contents (S%). Comprehensive emission inventories for year the 2001 were used to execute Source Complex model for Short-term Dispersion (ISCST4.5) to predict ambient ground level concentrations of sulphur dioxide (SO2) and nitrogen oxide (NOx) at selected receptors. A yearlong meteorological data were used in conjunction with the dispersion model to compute SO2 and NOx levels in and around the power stations. For validation of the model, computed results were compared with the measured daily average values at a fixed Kuwait EPA air quality monitoring station located at the roof of polyclinic in Rabia residential area. Contributions of each power station to the highest predicted values were assessed. Significance of the fifty highest hourly, daily and annual ground level concentration values under existing meteorological conditions was analyzed. The results for year 2001 revealed that daily and annual mean predicted SO2 concentrations had exceedance about 5.7% and 0.16% respectively of the total area under investigation. Based on these results, mitigation strategies would be proposed to abate high pollution levels caused by these power stations.
 
 
 
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