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Application of Partial Orders and Hasse Matrices in Ranking Contaminated Sites

In: Multi-indicator Systems and Modelling in Partial Order

Author

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  • Ron J. Thiessen

    (University of Calgary, Schulich School of Engineering)

  • Gopal Achari

    (University of Calgary, Schulich School of Engineering)

Abstract

Contaminated site cleanup is a multibillion dollar issue in Canada. Practical decision support tools are needed to help prioritise contaminated site cleanup funding across a portfolio of many sites. This chapter illustrates the concept of prioritising contaminated site management decisions using environmental risk, societal perception and environmental liability as the measures. Using previously published information on 20 contaminated sites located in Canada, these three aspects are combined by applying partial order concepts to prioritise sites. The authors show how societal perception and environmental liability influence site prioritisation compared to prioritisation based on environmental risk alone. They recommended additional research in quantifying the societal perception of contaminated sites prior to practical application of the concepts explained in the chapter.

Suggested Citation

  • Ron J. Thiessen & Gopal Achari, 2014. "Application of Partial Orders and Hasse Matrices in Ranking Contaminated Sites," Springer Books, in: Rainer Brüggemann & Lars Carlsen & Jochen Wittmann (ed.), Multi-indicator Systems and Modelling in Partial Order, edition 127, chapter 0, pages 253-274, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-8223-9_12
    DOI: 10.1007/978-1-4614-8223-9_12
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