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- Dr. Gontran F. Bage
- Laurence Toffoletto
- Pr. Louise Deschênes
- Pr. Réjean Samson
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- Problem: Site remediation, environmental impacts and uncertainties
- Methodology
- How to do a probabilistic LCA
- Model development: METEnvORS
- Case study: Remediation of a diesel-contaminated site
- Deterministic approach- Classical LCA
- Probabilistic approach- Use of METEnvORS
- Conclusions
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- Decontaminate 8 000 m3 of diesel-contaminated soil from an
initial contamination probability distribution q(0%; 1,2%; 98,8%) using
a combination of bioventing and biopile to reach either a new state of
the site for which the s1 range has the highest probability
of occurrence or a maximum of three years of treatment.
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- The Optimal Remediation Strategy (ORS) is established considering the
uncertainties surrounding the real level of contamination and the ease
at achieving the remediation goals
- Both deterministic and probabilistic approaches lead to the selection of
the same technology, but
- ORS is made of 28 scenarios
- å Probability of occurrence
of scenarios with total impact < deterministic approach = 72%
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- Using METEnvORS highlights on all the occurrences (scenarios) that a
remediation may follow
- These occurrences are results of uncertainties on the level of
contamination and the technology’s effectiveness
- Since the model is multistage, the decision-maker can, with the
information he has collected during a stage, review his technology
choice at the beginning of the next stage
- Knowing the ORS, gives the
decision-maker a better picture of the reality
- Including these uncertainties into a site remediation LCA provides a
better applicability of LCA in environmental management
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- This research has been supported by:
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Notes