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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3222

Title: Developing and exploiting a unique seismic dataset from South African gold mines for source characterization and wave propagation
Authors: Julia, J
Nyblade, AA
Gok, R
Walter, WR
Linzer, LM
Durrheim, RJ
Keywords: South Africa National Seismic Network
SANSN
Seismic dataset
South Africa
Mining events
Deep gold mines
Global seismographic network
Issue Date: Sep-2008
Citation: Julia, J, Nyblade, AA, Gok, R, Walter, WR et al. 2008. Developing and exploiting a unique seismic dataset from South African gold mines for source characterization and wave propagation. 2008 Monitoring Research Review: Ground-Based Nuclear Explosion Monitoring Technologies, Portmouth, Virginia 23-25 Septemebr 2008, pp 87-97
Abstract: In this project, the authors are developing and exploiting a unique seismic dataset to address the characteristics of small seismic events and the associated seismic signals observed at local (<200 km) and regional (<2000 km) distances. The dataset is being developed using mining-induced events from three deep gold mines in South Africa recorded on in-mine networks (<1 km) composed of tens of high-frequency sensors, a network of four broadband stations installed as part of this project at the surface around the mines (1–10 km), and a network of existing broadband seismic stations at local/regional distances (50–1000 km) from the mines. After a year of seismic monitoring of mine activity (2007), over 10,000 events in the range –3.4 < ML < 4.4 have been catalogued and recorded by the in-mine networks. Events with positive magnitudes are generally well recorded by the surface-mine stations, while magnitudes of 3.0 and larger are seen at regional distances (up to ~600 km) in high-pass filtered recordings
Description: 2008 Monitoring Research Review: Ground-Based Nuclear Explosion Monitoring Technologies, Portmouth, Virginia 23-25 Septemebr 2008; Also available on Cd and Online at this link: https://na22.nnsa.doe.gov/gnem/mrr2008
URI: https://na22.nnsa.doe.gov/gnem/mrr2008
http://hdl.handle.net/10204/3222
Appears in Collections:Mining and geoscience
General science, engineering & technology

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