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Atmospheric fuzzy risk assessment of confined space entry at mine reclamation sites Mohammadi, Ladan; Meech, John A.
Abstract
A confined space accident that occurred in 2006 at the Sullivan Mine in Kimberley, British Columbia has brought to light that certain reclamation activities can lead to an atmospheric hazard that is difficult to recognize. In this paper, application of a fuzzy logic-based expert system to assess the risk of an atmospheric hazard at a waste dump site is described. AFRA is a rule-based system that estimates fuzzy values of four major elements (gas generation, gas emission, gas confinement, and human exposure) that affect the risk of creating a confined space hazard within an enclosed structure such as a sampling shed located at the toe of a sulfide waste dump. The system is able to generate realistic advice about a site even when data are imprecise estimates. Should discrete measurements be available, these are transformed into linguistic expressions with respective Degrees of Belief (DoBs) that combine with other inputs to generate a Degree of Belief in each element value through the use of heuristic weighted-average equations. The assessment depends on different conditions at a site. The system has been validated for a total of nine dump sites around the world (6 reference and 3 test sites). It is recommended that atmospheric risk assessments should be carried out for sulfide waste dumps and tailings dams on a regular basis especially when a change in climatic conditions, site design, or site operation takes place.[All papers were considered for technical and language appropriateness by the organizing committee.]
Item Metadata
Title |
Atmospheric fuzzy risk assessment of confined space entry at mine reclamation sites
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Creator | |
Contributor | |
Date Issued |
2011-11
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Description |
A confined space accident that occurred in 2006 at the Sullivan Mine in Kimberley, British Columbia has
brought to light that certain reclamation activities can lead to an atmospheric hazard that is difficult to recognize.
In this paper, application of a fuzzy logic-based expert system to assess the risk of an atmospheric hazard at a
waste dump site is described. AFRA is a rule-based system that estimates fuzzy values of four major elements
(gas generation, gas emission, gas confinement, and human exposure) that affect the risk of creating a confined
space hazard within an enclosed structure such as a sampling shed located at the toe of a sulfide waste dump.
The system is able to generate realistic advice about a site even when data are imprecise estimates. Should
discrete measurements be available, these are transformed into linguistic expressions with respective Degrees of
Belief (DoBs) that combine with other inputs to generate a Degree of Belief in each element value through the
use of heuristic weighted-average equations. The assessment depends on different conditions at a site. The
system has been validated for a total of nine dump sites around the world (6 reference and 3 test sites). It is
recommended that atmospheric risk assessments should be carried out for sulfide waste dumps and tailings dams
on a regular basis especially when a change in climatic conditions, site design, or site operation takes place.[All papers were considered for technical and language appropriateness by the organizing committee.]
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Genre | |
Type | |
Language |
eng
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Date Available |
2011-10-19
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0107724
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Other
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International