Journal article

Industrial environmental performance evaluation: A Markov-based model considering data uncertainty

Samaneh Shokravi, Alan JR Smith, Colin R Burvill

Environmental Modelling and Software | ELSEVIER SCI LTD | Published : 2014

Abstract

Commonly, operational aspects of an industrial process are not included when evaluating the process environmental performance. These aspects are important as operational failures can intensify adverse environmental impacts or can diminish the chance of making any amelioration. This paper proposes to include these operational aspects by applying a method called Industrial Environmental Performance Evaluation. To have a reliable environmental performance measure for assisting policy-making in an organization, two types of uncertainty are considered in the proposed method. The first type is the epistemic uncertainty due to imperfect knowledge about the environmental impacts of the process. Epis..

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Grants

Funding Acknowledgements

The authors acknowledge the support of the International Research Scholarship from the University of Melbourne and the International Postgraduate Research Scholarship from the Australian Government that made this project possible for the first author. The authors also acknowledge the support of Orica Australia, specially Dr. Peter McGowan, for providing much of the employed data.