Presentation on theme: "Detection and Identification of Near Seismic Events by SeisComP3 limited by a sparse distributed Seismic Network Thomas Burghardt, Friedrich-Schiller-"— Presentation transcript:
Detection and Identification of Near Seismic Events by SeisComP3 limited by a sparse distributed Seismic Network Thomas Burghardt, Friedrich-Schiller- Universität Jena 17. Januar 2013 User Group Meeting Potsdam GFZ
Contents Configuration of the network Which signals are measured and which features the measurement has Examples for detected events The reported events Conclusion
How TSN and SX network is configured for SeisComP3?
The outer stations stabilize the localization of regional, Mediterranean and teleseismic events
The inner Stations are for the detection of the local events
Conclusion: There are different detection and location results at two computers with the same SC3 configuration. To my mind the cause depends on the not stabilized Grid Search Algorithm for near events and on the difficulties of LocSAT to localize teleseismic events with a regional velocity model.
Is the localization error less for a denser distribution of the stations in the network ?
Swabian Alp, Albstadt, Germany, Earthquake 02. Jan. 2013 19:55 EMSC: 48,24 ; 9,01 ML=2,3 S2: south. Nürnberg: 49,16 ; 10,91 P Onsets, BFO is absent, but the pick exists S1: S Onsets Near Cannes after relocation after put out of the far station: TRPA : 42,97 ; 6,03
Plauen, Germany, Earthquake 28. Dec. 2012 19:55 SHM: 50,454 ; 12,225, ML=1,1,10,5km S2: 50,46 ; 12,34 MLv=1,1 S1: 50,45 ; 12,33 MLv=1,1 The best place for determination of hypocenter, because of the dense network
The detectibility of the network in the swarm and in the tectonic region is sufficiently good. Down up to ML=1,5 with a location error up to 15 km the network give hints for manually revising. At the mining areas due to the sparse distribution of stations the Magnitude threshold is higher than 2.
Conclusion To my mind the Grid Search Algorithm has to be tuned to the sparse network to achieve a better location and less ambiguity. It will not become perfectly, because of the heterogeneity and the missing of coherence of signals in comparison to the teleseimic signals. With the absent regonizability of S onsets arises a big problem for localization. At this level of development in the local event detection with a sparse network, SC3 is an excellent tool for detection of the events, but a revision by a seismologist is absolutely necessary. The possibility to determine the spectra of the event with SC3 tool would be helpful.