| Regional photochemical modeling system is widely used to simulate the tropospheric ozone problem, demonstrate compliance and develop relevant control strategies. For this purpose, emission inventories were developed for ozone precursors such as oxides of nitrogen (NOx), volatile organic compounds (VOC), and carbon monoxide (CO). This study deals with the development and refinement of emission inventories for ozone precursors and refined spatial apportionment of the emissions to uniform sized model grids for use in air quality models. Emission inventories were calculated for the non-road and area source categories for the Corpus Christi urban airshed (CCUA), encompassing Nueces and San Patricio counties. Using a geographical information system (GIS), flexible and more accurate methodologies were employed to spatially apportion emissions to the modeling grids. Both 'top-down' and 'bottom-up' approaches were used to spatially allocate and develop gridded emissions on a fine resolution of 1-km by 1-km cell size. As part of the spatial allocation process, locations of the emissions sources were identified and emissions were apportioned by activity, production and other relevant data. Appropriate spatial surrogates were identified and developed to disaggregate emissions from different categories where the location information was unavailable. (Abstract shortened by UMI.)... |
