A Statistical Model for Assessing the Risk of Subsidence Above Abandoned Mines.
Cervantes JA; Kim YC
Ch 39 in 23rd Appl of Computers & Operations Res in the Min Ind SME PP 376-387 :376-387
A statistical model for assessing the risk of ground subsidence in abandoned mine areas is presented. The model is based on the relationship that exists between the frequency and the location of subsidence events in a given area and the physical conditions of the ground. These conditions can be described by a series of geological, mining, and physical variables. The model suggests the existence of regions in the multidimensional space of variables that are associated with increases or decreases in the frequency of subsidence events. Discriminate functions were computed from the estimated variables and used to establish regions for classifying blocks of land into one of these two populations: (1) blocks not likely to have a subsidence event, and (2) blocks likely to have one or more subsidence events. The same discriminate functions were used to compute membership probabilities for blocks of land to fall within any of these two populations. These probabilities were contoured to produce a risk map. The risk map produced compares well with the location of the subsidence events that have occurred to date in the area.
OP; Final Contract Report;
Ch. 39 in 23rd Appl. of Computers & Operations Res. in the Min. Ind. SME, PP. 376-387
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