%0 Journal Article
%@ 0377-2217
%A Altman, A.
%A Amann, M.
%A Klaassen, G.
%A Ruszczynski, A.
%A Schoepp, W.
%D 1996
%F iiasa:4625
%I Elsevier
%J European Journal of Operational Research
%K Environment; Probabilistic programming; Interior point methods
%N 3
%P 395-412
%R 10.1016/0377-2217(94)00359-9
%T Cost-effective sulphur emission reduction under uncertainty
%U https://pure.iiasa.ac.at/id/eprint/4625/
%V 90
%X 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.