Cost-effective sulphur emission reduction under uncertainty

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Article ID:	iaor1999226
Country:	Netherlands
Volume:	90
Issue:	3
Start Page Number:	395
End Page Number:	412
Publication Date:	May 1996
Journal:	European Journal of Operational Research
Authors:	Ruszczyski Andrzej, Altman Anna, Amann Markus, Klaassen Ger, Schpp Wolfgang
Keywords:	programming: probabilistic

Abstract:

The problem of reducing SO2 emissions in Europe is considered. The costs of reduction are assumed to be uncertain and are modeled by a set of possible scenarios. A mean–variance model of the problem is formulated and a specialized computational procedure is developed. The approach is applied to the trans-boundary air pollution model with real-world data.

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