Application of correspondence analysis in the assessment of mine tailings dam breakage risk in the Mediterranean region.
A new statistical approach for preliminary risk evaluation of breakage in tailings dam is presented and illustrated by a case study regarding the Mediterranean region. The objective of the proposed method is to establish an empirical scale of risk, from which guidelines for prioritizing the collection of further specific information can be derived. The method relies on a historical database containing, in essence, two sets of qualitative data: the first set concerns the variables that are observable before the disaster (e.g., type and size of the dam, its location, and state of activity), and the second refers to the consequences of the disaster (e.g., failure type, sludge characteristics, fatalities categorization, and downstream range of damage). Based on a modified form of correspondence analysis, where the second set of attributes are projected as "supplementary variables" onto the axes provided by the eigenvalue decomposition of the matrix referring to the first set, a "qualitative regression" is performed, relating the variables to be predicted (contained in the second set) with the "predictors" (the observable variables). On the grounds of the previously derived relationship, the risk of breakage in a new case can be evaluated, given observable variables. The method was applied in a case study regarding a set of 13 test sites where the ranking of risk obtained was validated by expert knowledge. Once validated, the procedure was included in the final output of the e-EcoRisk UE project (A Regional Enterprise Network Decision-Support System for Environmental Risk and Disaster Management of Large-Scale Industrial Spills), allowing for a dynamic historical database updating and providing a prompt rough risk evaluation for a new case. The aim of this section of the global project is to provide a quantified context where failure cases occurred in the past for supporting analogue reasoning in preventing similar situations.
Salgueiro
Ana Rita
AR
CERENA--Centro de Reursos Naturais e Ambiente do IST, Lisboa, Portugal. rita.salgueiro@ist.utl.pt
Pereira
Henrique Garcia
HG
Rico
Maria-Teresa
MT
Benito
Gerado
G
Díez-Herreo
Andrés
A
D000059:Accidents / Q000706:statistics & numerical data*; D004784:Environmental Monitoring; D006801:Humans; D019083:Mediterranean Region; D008906:Mining / Q000592:standards*; D011237:Predictive Value of Tests; D018570:Risk Assessment; D014881:Water Supply / Q000592:standards*