Abstract
To implement efficient air quality policies Environmental Agencies require integrated systems allowing the evaluation of both the effectiveness and the cost associated to different emission reduction strategies. These tools are even more useful when considering atmospheric PM10 concentrations, a strongly nonlinear secondary pollutant. The classical approaches of cost-benefit and cost-effectiveness analysis create unique solutions, hiding possible stakeholders conflicts. In this work the formulation of a multi-objective problem to control particulate matter is proposed, defining: (a) control objectives, namely the air quality indicators and the cost functions; (b) decision variables and their constraints; (c) source-receptor models, describing the cause-effect relation between air quality indicators and decision variables. The multi-objective problem results obtained for Northern Italy are analyzed in terms of not-dominated solutions.
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