## 3 Results from the Application of the Decision-Support Tool  
The effectiveness of the proposed computational tool has been confirmed through its application in selecting the optimal route for a high-pressure gas pipeline that crosses a specific area in northern Greece near the cities of Xanthi and Komodini. Figure 2(a)-c provide a general view of the examined area. To realistically represent the topography of the examined area, a reliable Digital Elevation Model (DEM) has been utilized. More specifically, a DEM developed from the Copernicus earth observation component of the European Union's Space Programme has been obtained as a GeoTIFF format file from OpenTopography.org [59]. The resolution of the utilized DEM has been carefully chosen to be equal to 30 m to ensure that the proposed decision-support tool can accurately handle extensive data sets and be successfully applied to large geographic areas while maintaining optimal computational performance. It is noted that global navigation satellite system (GNSS) advanced capabilities (e.g., precise point positioning (PPP)) can be used to increase the resolution of the geodata [60]. Through proper processing within the GIS environment, the map shown in Figure 4 has been generated. The administrative boundaries of Greece and neighboring countries (i.e., Turkey and Bulgaria) have been downloaded as shapefiles from the global database of political and administrative boundaries, namely geoboundaries [61]. The white points on the map denote the approximate locations of the major cities within the examined area. Figure 2(a)-e depicts the relative geodata that have been collected and are essential for the application of the proposed decision-support tool. Figure 2(a) presents the hydrographic network (i.e., rivers and streams) of the examined area, as obtained from the open geospatial database for Greece, geodata.gov [62]. Figure 2(b) displays the seismic fault zones acquired as linear entities from the global database maintained by the Global Earthquake Model (GEM) Foundation [63]. In addition, by utilizing the adopted DEM and appropriate tools within the GIS software, the map in Figure 2(c) has been generated, showing the slope inclination of the examined area. Figure 2(d) illustrates the liquefaction susceptibility map. This map is part of a global liquefaction susceptibility map, which has been created based on the geospatial liquefaction prediction models of [PERSON] et al. [64]. Finally, Figure 2(e) presents a map of the epicenters of previous earthquakes over the last 100 years retrieved from the USGS database [65]. The epicenters of the earthquakes near the two secondary fault zones (see Figure 2(a)) are also highlighted. Figure 4: Digital elevation model for the examined area. Figure 3: The examined area: (**a**) geographic location and (**b**,**c**) aerial views. Figure 5: Geodata of the examined area for the application of the decision-support tool: (**a**) hydrographic network, (**b**) primary seismic fault zones, (**c**) slope inclination, (**d**) liquefaction susceptibility classes, and (**e**) seismicity. Based on the aforementioned geodata, two additional maps have been created that roughly describe the more complex geohazard of secondary seismic faulting and the standard geohazard of soil liquefaction. Specifically, Figure (a)a shows the two secondary seismic fault zones adopted in this study, as realistically possible, based on the geomorphology and seismotectonic activity of the examined region. These fault zones are situated on either side of the lake with a perpendicular orientation to the existing Kavala-Xanthi-Komotini seismic fault zone (1 st and 2 nd secondary faults, to the west and east of the lake, respectively). On the other hand, Figure (b)b depicts the potentially liquefiable areas considered herein. The first area encompasses the wider region surrounding the northern part of Vistonida Lake, while the second one includes the coastal areas between the city of Kavala and the city of Alexandroupolis, including the southern part of Vistonida Lake.