Description: The Mexico City Air Quality Research Initiative has developed a methodology to assist decision makers in determining optimum pollution control strategies for atmospheric pollutants. The methodology introduces both objective and subjective factors in the comparison of various strategies for improving air quality. Strategies or group of options are first selected using linear programming. These strategies are then compared using Multi-Attribute Decision Analysis. The decision tree for the Multi-Attribute Decision Analysis was generated by a panel of experts representing the organizations in Mexico that are responsible for formulating policy on air quality improvement. Three sample strategies were analyzed using the methodology: one to reduce ozone by 33% using the most cost effective group of options, the second to reduce ozone by 43% using the most cost effective group of options and the third to reduce ozone by 43% emphasizing the reduction of emissions from industrial sources. Of the three strategies, the analysis indicated that strategy 2 would be the preferred strategy for improving air quality in Mexico City.
Date: May 1, 1995
Creator: Barrera-Roldan, A.S.; Guzman, F.; Hardie, R.W. & Thayer, G.R.
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Partner: UNT Libraries Government Documents Department