Adaptive grids have the potential to reduce uncertainties in the predictions of AQMs.
Through a process called grid clustering, adaptive grids allocate more computational resources over areas of interest in large domains. With increased resolution in such areas, adaptive grid AQMs can capture the details of atmospheric dynamics and chemistry more efficiently than their uniform grid counterparts. To identify the location of emission sources over the adaptive grid, the GIS algorithms and the adaptive grid technique were linked. A prototype of the developed GIS algorithms and the adaptive grid technique currently is being tested using different case studies. Uncertainty analysis of environmental models within GIS environments.