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  • 04. Solid Earth::04.06. Seismology::04.06.02. Earthquake interactions and probability  (1)
  • 05. General::05.01. Computational geophysics::05.01.04. Statistical analysis  (1)
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  • 1
    Publication Date: 2017-04-04
    Description: The Asperity Likelihood Model (ALM), first developed and currently tested for California, hypothesizes that small-scale spatial variations in the b-value of the Gutenberg and Richter relationship play a central role in forecasting future seismicity (Wiemer and Schorlemmer, SRL, 2007). The physical basis of the model is the concept that the local b-value is inversely dependent on applied shear stress. Thus low b-values (b 〈 0.7) characterize the locked paches of faults –asperities- from which future mainshocks are more likely to be generated, whereas the high b-values (b 〉 1.1) found for example in creeping section of faults suggest a lower seismic hazard. To test this model in a reproducible and prospective way suitable for the requirements of the CSEP initiative (www.cseptesting.org), the b-value variability is mapped on a grid. First, using the entire dataset above the overall magnitude of completeness, the regional b-value is estimated. This value is then compared to the one locally estimated at each grid-node for a number of radii, we use the local value if its likelihood score, corrected for the degrees of freedom using the Akaike Information Criterion, suggest to do so. We are currently calibrating the ALM model for implementation in the Italian testing region, the first region within the CSEP EU testing Center (eu.cseptesting.org) for which fully prospective tests of earthquake likelihood models will commence in Europe. We are also developing a modified approach, ‘hybrid’ between a grid-based and a zoning one: the HALM (Hybrid Asperity Likelihood Model). According to HALM, the Italian territory is divided in three distinct regions depending on the main tectonic elements, combined with knowledge derived from GPS networks, seismic profile interpretation, borehole breakouts and the focal mechanisms of the event. The local b-value variability was thus mapped using three independent overall b-values. We evaluate the performance of the two models in retrospective tests using the standard CSEP likelihood test.
    Description: Unpublished
    Description: Vienna
    Description: 3.1. Fisica dei terremoti
    Description: open
    Keywords: ALM model ; HALM model ; 04. Solid Earth::04.06. Seismology::04.06.02. Earthquake interactions and probability
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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  • 2
    Publication Date: 2017-04-04
    Description: Seismic catalogues often include man-made contaminations, that range from the changes in seismic networks operating in the region to the different processing of the data and to the inclusion of quarry explosions and marine shots. For example, the installation or closure of seismic stations produce an increase or a decrease in the detection of small events, whilst quarry blasts or mine explosions artificially enrich catalogues. Despite network operators’ best efforts to identify quarry blasts, it is easy to find these events in a catalogue, whereas the separation between explosion events and tectonic ones is a difficult task. Detection and removing of artificial events from a seismic catalogue should be the preliminary step in any analysis of statistical seismology. Wiemer and Baer (BSSA, 2000) proposed an algorithm, based on a statistical criterion, to identify and remove quarry explosions from catalogues. It is based on the observation that quarry blasts generally take place during daytime hours: the areas with a high ratio of daytime and night-time events are likely to be regions with quarry activity. In the first part of this work (Gulia, NH, 2010) we have modified the method and then tested it, using both a synthetic and a regional catalogue; in the second part the procedure has been applied to some of the European regional catalogues available on line. The comparison between the results obtained and the location of known quarries and mines for the analyzed catalogues confirms both the presence of non-natural events in seismic catalogue and the reliability of the methodology in identifying mining areas.
    Description: Published
    Description: Montpellier
    Description: 5.2. TTC - Banche dati di sismologia strumentale
    Description: open
    Keywords: quarry blast ; man-made contaminations ; 05. General::05.01. Computational geophysics::05.01.04. Statistical analysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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