Geostatistical Modeling of Carbon Monoxide Levels in Khartoum State-GIS Based Study

The main objective of this research work is to demonstrate the potential of using Geographic Information System (GIS) in exposure, risk assessment and emission predictions for Khartoum state. One of the objectives of this study is to develop a digital GIS model; that can evaluate, predict and visualize Carbon Monoxide (CO) levels in Khartoum state. To achieve these aims, sample data had been collected, processed and managed to generate a dynamic GIS model of Carbon Monoxide levels in the study area.

  GIS and geostatistical models were found to be valuable tools for creating interactive and dynamic models to enhance the visualization and analysis of Carbon Monoxide emissions in Khartoum state. Parametric data collected from the field and analysis carried throughout this study show that (CO) emissions were much lower than the allowable ambient air quality standards released by National Environment Protection Council (NEPC) for 1998. However, this pilot study has found emissions of (CO) to be unevenly distributed geographically as well as temporally; with Omdurman city exhibiting highest (CO) levels. This pilot study shows that GIS and geostatistical modeling can be used as a powerful tool to produce maps of exposure to enhance exposure assessment in environmental studies.