TY  - JOUR
ID  - iiasa4625
UR  - https://pure.iiasa.ac.at/id/eprint/4625/
IS  - 3
A1  - Altman, A.
A1  - Amann, M.
A1  - Klaassen, G.
A1  - Ruszczynski, A.
A1  - Schoepp, W.
N2  - 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.
VL  - 90
TI  - Cost-effective sulphur emission reduction under uncertainty
AV  - none
EP  - 412
Y1  - 1996/05//
PB  - Elsevier
JF  - European Journal of Operational Research
KW  - Environment; Probabilistic programming; Interior point methods
SN  - 0377-2217
SP  - 395
ER  -