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The relationship between emissions inventories, chemical reaction mechanisms and meteorological conditions is intricate and involves very complicated algorithms to track the spatial and temporal formation of pollutants. Complicated software modeling techniques are used to integrate the various components that create pollution. The modeling process operates by measuring extensive data in a pre-selected timeframe and evaluating if the model can correctly predict what was measured. When the model meets the accuracy requirements for representing the past, it can then be used to predict the future. This is achieved by reducing the emissions inventories by a specified amount and determining if the reduction can create the desired reduction in pollution. When the appropriate level of emission control strategies is identified it is implemented into policy.
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| Page Updated/Reviewed: 02/15/2007 10:53 AM |
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© 2005 - 2008 Texas Environmental Research Consortium
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