Julia, JNyblade, AAGok, RWalter, WRLinzer, LMDurrheim, RJ2009-03-172009-03-172008-09Julia, 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 87-97https://na22.nnsa.doe.gov/gnem/mrr2008http://hdl.handle.net/10204/32222008 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/mrr2008In 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 recordingsenSouth Africa National Seismic NetworkSANSNSeismic datasetSouth AfricaMining eventsDeep gold minesGlobal seismographic networkConference PresentationJulia, J., Nyblade, A., Gok, R., Walter, W., Linzer, L., & Durrheim, R. (2008). Developing and exploiting a unique seismic dataset from South African gold mines for source characterization and wave propagation. http://hdl.handle.net/10204/3222Julia, J, AA Nyblade, R Gok, WR Walter, LM Linzer, and RJ Durrheim. "Developing and exploiting a unique seismic dataset from South African gold mines for source characterization and wave propagation." (2008): http://hdl.handle.net/10204/3222Julia J, Nyblade A, Gok R, Walter W, Linzer L, Durrheim R, Developing and exploiting a unique seismic dataset from South African gold mines for source characterization and wave propagation; 2008. http://hdl.handle.net/10204/3222 .TY - Conference Presentation AU - Julia, J AU - Nyblade, AA AU - Gok, R AU - Walter, WR AU - Linzer, LM AU - Durrheim, RJ AB - 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 DA - 2008-09 DB - ResearchSpace DP - CSIR KW - South Africa National Seismic Network KW - SANSN KW - Seismic dataset KW - South Africa KW - Mining events KW - Deep gold mines KW - Global seismographic network LK - https://researchspace.csir.co.za PY - 2008 T1 - Developing and exploiting a unique seismic dataset from South African gold mines for source characterization and wave propagation TI - Developing and exploiting a unique seismic dataset from South African gold mines for source characterization and wave propagation UR - http://hdl.handle.net/10204/3222 ER -