A GIS-BASED WEIGHTS-OF-EVIDENCE MODEL FOR MAPPING CLIFF INSTABILITIES ASSOCIATED WITH MINE SUBSIDENCE

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dc.contributor.author Zahiri H.
dc.contributor.author Palamara D.R.
dc.contributor.author Flentje P.
dc.contributor.author Brassington G.M.
dc.contributor.author Baafi E.
dc.date.accessioned 2024-10-18T08:57:45Z
dc.date.available 2024-10-18T08:57:45Z
dc.date.issued 2006
dc.identifier https://www.elibrary.ru/item.asp?id=51178648
dc.identifier.citation Environmental Geology, 2006, 51, 3, 377-386
dc.identifier.issn 0943-0105
dc.identifier.uri https://repository.geologyscience.ru/handle/123456789/46006
dc.description.abstract The Weights-of-Evidence (W-of-E) technique was applied, within a geographic information system (GIS), to derive a model of rockfall potential associated with mining-induced subsidence. The purpose of the model was to describe the potential for rockfalls from up to 60 m high steep sandstone gorges and slopes associated with proposed underground longwall operations within the immediate vicinity of a previously mined area. Ten known rock falls associated with the previous mining operation were used as training points. Six evidential themes were considered-slope, cliff height, planform curvature, profile curvature, the distance of the cliff areas from the longwall panels, and the distance of the cliff areas from the river. Two models were created, one based on a mine layout in which longwall panels extend beneath the steep areas of a nearby river, and a second in which the mine layout is modified so that mining does not occur directly beneath or within 50 m of the steep slopes. This is to allow for the comparison of rockfall potential based on different mining configurations. The results demonstrate that the W-of-E method is a suitable tool for mine subsidence impact assessment, and suggest that not mining directly under the Nepean river may decrease rockfall potential, on average, by approximately ten times. Numerous limitations with the results, relating to the availability of appropriate evidential theme data and the accuracy of training points, are discussed.
dc.subject SUBSIDENCE IMPACTS
dc.subject CLIFFS
dc.subject WEIGHTS-OF-EVIDENCE
dc.subject GIS
dc.subject LONGWALL MINING IMPACTS
dc.subject AUSTRALIA
dc.subject NEW SOUTH WALES
dc.subject SOUTHERN COALFIELD
dc.title A GIS-BASED WEIGHTS-OF-EVIDENCE MODEL FOR MAPPING CLIFF INSTABILITIES ASSOCIATED WITH MINE SUBSIDENCE
dc.type Статья
dc.identifier.doi 10.1007/s00254-006-0333-y


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