Spatial clustering of seismic events in mines has been widely reported in literature. Despite obvious visual correlations between spatial clusters of seismic events and geomechanical structures in mines (such as pillars, dykes and faults), very limited research has been undertaken to utilise this information to filter seismic data. A linkage between spatial seismic event clusters and discrete rockmass failure mechanisms is tenuous and not well established using current seismic analysis techniques. A seismic event clustering methodology is proposed. The first component of the methodology uses a complete-linkage (CLINK) clustering routine to identify relatively compact clusters of seismic events. The CLINK clusters are then subjected to a singlelink clustering process, which uses spatial location and seismic source parameters as similarity measures. The resultant
| Identifer | oai:union.ndltd.org:ADTP/281373 |
| Date | January 2009 |
| Creators | Hudyma, Martin Raymond |
| Publisher | University of Western Australia. School of Civil and Resource Engineering |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | Copyright A thesis by Martin Raymond Hudyma, http://www.itpo.uwa.edu.au/UWA-Computer-And-Software-Use-Regulations.html |
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