@article{iiasa4625,
          volume = {90},
          number = {3},
           month = {May},
           title = {Cost-effective sulphur emission reduction under uncertainty},
       publisher = {Elsevier},
            year = {1996},
         journal = {European Journal of Operational Research},
             doi = {10.1016/0377-2217(94)00359-9},
           pages = {395--412},
        keywords = {Environment; Probabilistic programming; Interior point methods},
             url = {https://pure.iiasa.ac.at/id/eprint/4625/},
            issn = {0377-2217},
        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.},
          author = {Altman, A. and Amann, M. and Klaassen, G. and Ruszczynski, A. and Schoepp, W.}
}