GNGTS 2022 - Atti del 40° Convegno Nazionale

42 GNGTS 2022 Sessione 1.1 Fig. 2 - Tensional axes (T 30 - and T 45 ) computed in the QUIN database (Lavecchia et al. , 2022) projected on a shaded relief map of northern-central Apennines of Italy. Stereoplots on the left of the figure represent the same SS as in Fig. 1 (also same location). Key: P 45 and P 30 = contractional axes, B 45 = neutral axes; T 45 and T 30 = extensional axes. To build a unified and comprehensive database, we followed the following sequential steps: 1) We recovered published FSP data (only data with both fault plane and slickenline attitudes) surveyed along the major intra-Apennine faults of Central Italy. Where the fault-slip attitudes were not tabulated in the original data source, we graphically derived them from their stereographic representation within the original paper. 2) We also extracted unpublished data from our field booklets and accompanying maps for FSP data surveyed in the last few decades. We projected the corresponding SS in map view on a GIS platform and identified information gaps. 3) We performed new field campaigns (from 2018 to 2021) to fill gaps in data and locally integrate the information. 4) With the previous steps, we recovered a total of 3339 FSP (2024 from literature and 1315 original), measured at 455 survey sites (SS). Each FSP corresponds to the raw data record of the QUIN fault/slip database. 5) We identified with a quality code the precision in reading the FSP attitudes from the original stereoplots. 6) We identified the spatial coordinates of each SS by georeferencing the location maps from the literature or our booklets. In some cases, tabulated Latitude and Longitude coordinates were available. The precision of the geographic location was also identified with a quality code. 7) Starting from the FSP data, we calculated the rake values (Aki and Richards format) and classified the FSP in kinematic classes corresponding to pitch ranges.