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Estimation of Long‐Term Risk from Canadian Uranium Mill Tailings
Author(s) -
Murray M. L.,
Chambers D. B.,
Knapp R. A.,
Kaplan S.
Publication year - 1987
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.1987.tb00464.x
Subject(s) - tailings , event tree , mill , probabilistic logic , hazardous waste , term (time) , probabilistic risk assessment , environmental science , uranium , event (particle physics) , set (abstract data type) , engineering , risk analysis (engineering) , waste management , computer science , statistics , fault tree analysis , reliability engineering , mathematics , business , mechanical engineering , materials science , physics , quantum mechanics , metallurgy , programming language
A methodology is presented for assessing the risk from Canadian uranium mill tailings piles. The methodology is based on the “set of triplets” concept and uses an event tree to identify various scenarios representing the performance of a pile over its 1,000‐year design life. Compartment‐type mathematical models are used to quantify the movement of hazardous substances through the environment. Numerical examples are given of both “level 1” (straight probabilistic) and “level 2” (probability of frequency) type analyses.