Cost-Optimized Air Pollution Control Using High-Order Sensitivity Analysis
Beyond the associated harm to human health,1 non-attainment of air quality standards can substantially hamper the economy of a region2 and its access to federal funds. The costs of emissions control are substantial as well and vary greatly among various options. Thus, much is at stake in reducing air pollution in a costefficient manner. Alternative goals can be considered in the optimization of air pollution control strategies. The development of regulatory attainment plans can be abstracted as a constrained optimization problem of attaining air quality standards at minimal cost. One may also consider how to minimize regional pollutant concentrations or potential population exposure subject to a budget constraint. Because ozone forms from complex nonlinear interactions involving nitrogen oxides (NOx) and volatile organic compounds (VOC),3 the impact of a control measure will depend on which pollutant is reduced, the location of reduction, and variable factors such as meteorology. Thus, ozone sensitivity must be considered along with cost in evaluating cost-effectiveness.
KeywordsVolatile Organic Compound Ozone Sensitivity State Implementation Plan Complex Nonlinear Interaction Direct Sensitivity Analysis
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