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A New Insight into the Risk of Gaseous Release Assessment Based on a Minimax Approach

C. I. Anghel and A. Ozunu

Department of Chemical Engineering, Faculty of Chemistry and Chemical Engineering, University “Babes-Bolyai”, RO-3400 Cluj-Napoca



Abstract: An alternative method of the risk assessment for pollutant gas release based on artificial intelligence approach is presented. In principle the method is a pattern recognition developed as a linear discriminative classification problem related as a Minimax approach. This procedure has the ability to estimate both the dispersion of pollutant emission and the probabilistic certainty of these values. A simplified numerical experiment, prediction of the sulphur dioxide concentration from a smokestack, was carried out either using the proposed algorithm implemented in MATLAB package, or a specialized software package SLAB View. Both analyses produced reasonably accurate results. However, the proposed method was able to estimate both dispersion of the pollutant emission and a probabilistic certainty of this value.

Full paper in Portable Document Format: 596ba469.pdf


Chemical Papers 59 (6b) 469–475 (2005)

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