HR: 1340h
AN: S33A-0304    [Abstracts]
TI: Probabilistic Estimates of Monitoring Completeness of Seismic Networks
AU: Bachmann, C
EM: corrineb@student.ethz.ch
AF: ETH Zurich, Swiss Seismological Service, HPP P3 Schafmattstr. 30, Zurich, 8093 Switzerland
AU: * Schorlemmer, D
EM: danijel@sed.ethz.ch
AF: ETH Zurich, Swiss Seismological Service, HPP P3 Schafmattstr. 30, Zurich, 8093 Switzerland
AU: Woessner, J
EM: j.woessner@sed.ethz.ch
AF: ETH Zurich, Swiss Seismological Service, HPP P3 Schafmattstr. 30, Zurich, 8093 Switzerland
AU: Wiemer, S
EM: s.wiemer@sed.ethz.ch
AF: ETH Zurich, Swiss Seismological Service, HPP P3 Schafmattstr. 30, Zurich, 8093 Switzerland
AB: The monitoring completeness of seismic networks varies in space and time. It strongly depends on station distribution and recording quality per station. We introduce a new method to estimate spatial and temporal monitoring completeness of seismic networks from phase data. We extract probability distributions for each station having detected an earthquake of magnitude M at a distance D. Based on manual inspection of these distributions, we generate multiple classes of stations with very similar detection characteristics and stack the obtained probabilities within these classes for more reliable estimates compared to estimates relying only on one station. Given the network's minimum number of detected phases for locating events, we compute monitoring completeness maps. This approach has several advantages over alternative ways in completeness estimates: Contrary to estimating completeness based on the Gutenberg-Richter distribution, our approach does not assume any event-size distribution. It also offers the possibility of estimating the completeness in low-seismicity areas where methods based on parametric earthquake catalogs fail due to sparse data. We present case studies from Switzerland and California and compare them with estimated completeness levels of other methods. Because the only ingredients to the probabilistic estimates of monitoring completeness are the phase data and a station list, this approach is easy to adopt to other seismic networks. We envision this method to become a viable additional tool for the design and management of seismic networks from local to global scales.
DE: 7200 SEISMOLOGY
DE: 7219 Seismic monitoring and test-ban treaty verification
DE: 7294 Seismic instruments and networks (0935, 3025)
SC: Seismology [S]
MN: Fall Meeting 2005