PSI - Issue 78

Antonio Sandoli et al. / Procedia Structural Integrity 78 (2026) 1302–1309

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Once the data are extracted and processed, different information for multi-risk analysis in Termoli was obtained. The ISTAT code of the municipality of Termoli is 14070078. In addition, 4776 structural aggregates were reported in the Civil Protection census. Furthermore, according to the Italian seismic classification reported in the OPCM no. 3274/2003, updated by the Resolution of the Molise Regional Council no. 194 of 20 September 2006, Termoli falls in Zone 3 (a zone with low seismic hazard, which may be subject to mild shaking. The corresponding PGA falls in the range 0.05-0.15g with 10% probability of exceedance in 50 years. The faults identified within 100 km from DISS are 8, whose maximum potential magnitude ranges from 5.7 to 7.0: “Boiano Basin”, “Tammaro Basin”, “San Giovanni Rotondo”, “San Marco Lamis”, “San Giuliano di Puglia”, “Ripabottoni”, “San Severo”, “Carpino – Le Piane” and “Frosolone”. The DEM of the municipality of Termoli is located in area W46595 of the Tinitaly Project. Elevations range between 0 and 176 meters above sea level, indicating a generally flat terrain. A total of 22 seismic stations is located within a 50 km radius of Termoli, and the corresponding recordings are downloaded. All 29 seismic events that occurred within a 50 km radius were collected from the CPTI and georeferenced. In 2007, seismic microzonation studies were conducted. The area was subdivided into the North, South, East, West, East Industrial and West Industrial zones. The microzonation map with its associated amplification factors was also included. The seismic tests carried out on site as part of these studies were also extracted, digitized, and georeferenced. From the data reported in the AINOP platform, the 101 public works in the area were downloaded and analyzed, consisting mainly in viaducts and schools. The three entries on the railway line (Termoli – S. Martino in Pensilis, Montenero Petacciato – Termoli, and Termoli – Campomarino) contain incorrect coordinates. There are no data on Termoli in CARTIS, whereas in Da.D.O. there are 92 buildings surveyed after the 2002 earthquake, most in class D1 (Figure 4).

Fig. 4. Data extracted from the Da.D.O. platform for the municipality of Termoli, indicating the damage level to buildings due to 2022 Molise earthquake 5. Concluding remarks The paper has shown a critical analysis of the existing database useful for a multi-scale and multi-risk analysis. Different datasets were critically analyzed, highlighting that extremely useful data are available, but very often they are neither interoperable nor homogeneous, rendering their exploitation particularly difficult. In some cases, the data are missing, while in others they cannot be easily digitized and homogenized. For this reason, a preliminary workflow oriented to render the available data homogeneous, scalable, interoperable, and accessible is proposed and an application to the municipality of Termoli, Campobasso province, Molise Region, in Italy is discussed. The workflow shows that diverse open datasets (e.g. regional hazard maps, building inventories,) can be systematically harmonized and integrated into a GIS platform to enable multi-scale probabilistic risk analysis. The main benefits include flexibility to incorporate new datasets, to find hidden correlation among data, and to develop scenario analyses at different scales. On the other hand, practical challenges remain: in fact,