In this paper, a mathematical programming model is proposed, which can be useful in determining what air pollution controls should be adopted in an airshed. The methodology is based on the premise that air quality goals should be achieved at the least possible cost. Advantages of the model are its simplicity, its emphasis on economic efficiency, and its appropriateness for the kind of data that is already
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