GNGTS 2019 - Atti del 38° Convegno Nazionale

GNGTS 2019 S essione 1.1 97 Fig. 2 - Map-view and cross-sections, distinct by the quality class. Starting from left, the first, the second, the third and the fourth panel are the A-, B-, C- and D-class locations, respectively. The stars are the Mw >= 5.9 earthquakes occurred during the sequence. Related focal mechanisms are reported. Cross-sections are oriented N60E (dashed lines in map-view) and show +/-2.5 km seismicity projected. Thick lines inA-class cross-sections underline the main faults. Number of pertaining earthquake locations is reported (after Michele et al. , 2019 in press). (about 1200x1200 km 2 area), located by the whole Italian National Seismic Network (RSN) (about 350 stations). No relevant seismic sequence occurred in the analyzed period. We show the classification of locations for the first case study, in Fig. 2. We demonstrate the usefulness, the feasibility and the flexibility of this innovative method, that can help also for routinely monitoring location computation. Here we illustrated the application of the method to two catalogs, related to two different case studies. We found that the approach works with different location method and different number of uncertainty estimators used. We have to understand how to ensure the steady-state of uncertainty estimators with time as when a long-in-time catalog is used, theoretically you have to consider that the q f computed could vary during different stations-hypocenters configuration periods. References Chiaraluce L., Di Stefano R., Tinti E., Scognamiglio L., Michele M., Casarotti E., et al. ; 2017: The 2016 central Italy seismic sequence: A first look at the mainshocks, aftershocks, and source models. Seism. Res. Let., 88 757-771. Lomax A., Virieux J., Volant P., Berge C.; 2000: Probabilistic earthquake location in 3D and layered models: Introduction of a Metropolis-Gibbs method and comparison with linear locations, in Advances in Seismic Event Location Thurber, C.H., and N. Rabinowitz (eds.), Kluwer, Amsterdam, 101-134. Michele M., Latorre D., Emolo A.; 2019: An Empirical Formula to Classify the Quality of Earthquake Locations. Seism. Soc. Am., in press.