GNGTS 2018 - 37° Convegno Nazionale

212 GNGTS 2018 S essione 1.2 long-term tectonic rates from geodetic data, second because if transient processes can perturb crustal stress at seismogenic depths, they can affect background seismicity rates or the seismic cycle. In the area under analysis several studies suggest that the Bassano-Valdobbiadene thrust is active and elastically locked, pointing toward a significant seismic potential of this fault. The hydrological deformation discussed in this work is occurring within the anticline associated with this thrust fault. Future studies will include the analysis of seismic velocity changes from ambient seismic noise analyses, the improvement of the GPS network and the analysis of SAR data in order to detect vertical deformation associated with groundwater changes, for which GPS is less sensitive. Asecond, but not less important implication of this study is that precise and accurate geodetic data as GPS observations are, can provide an indirect measurements of fresh water resources, such as those in karst aquifers, which is very important considering that more than 25% of the world’s population either live on or obtain water from karst aquifers. References Cheloni, D., D’Agostino, N. and Selvaggi, G.; 2014: Interseismic coupling, seismic potential, and earthquake recurrence on the southern front of the Eastern Alps (NE Italy) . Journal of Geophysical Research: Solid Earth, 119, 4448–4468. https://doi.org/10.1002/2014JB010954. Devoti, R., Zuliani, D., Braitenberg, C., Fabris, P. and Grillo, B.; 2015: Hydrologically induced slope deformations detected by GPS and clinometric surveys in the Cansiglio Plateau, Southern Alps . Earth and Planetary Science Letters, 419, 134–142. https://doi.org/10.1016/j.epsl.2015.03.023. Gualandi, A., Serpelloni, E. and Belardinelli, M. E.; 2016: Blind source separation problem in GPS time series . Journal of Geodesy, 90(4), 323–341. https://doi.org/10.1007/s00190-015-0875-4. Perrin, C., Michel, C., & Andréassian, V.; 2003: Improvement of a parsimonious model for stream flow simulation , Journal of Hydrology, 279(1-4), 275-289. Serpelloni, E., Vannucci, G., Anderlini, L. and Bennett, R. A.; 2016: Kinematics, seismotectonics and seismic potential of the eastern sector of the European Alps from GPS and seismic deformation data . Tectonophysics, 688, 157– 181. https://doi.org/10.1016/j.tecto.2016.09.026. Serpelloni, E., Pintori, F., Gualandi, A., Scoccimarro, E., Cavaliere, A., Anderlini, L., Belardinelli, M. E. and Todesco, M; 2018: Hydrologically induced karst deformation: Insights from GPS measurements in the Adria-Eurasia plate boundary zone . Journal of Geophysical Research: Solid Earth, 123. https://doi.org/10.1002/2017JB015252. Silverii, F., D’Agostino, N. and Métois, M.; 2016: Transient deformation of karst aquifers due to seasonal and multiyear groundwater variations observed by GPS in southern Apennines (Italy) . Journal of Geophysical Research: Solid Earth, 121, 8315–8337. https://doi.org/10.1002/2016JB013361. Fig 3 - Left: 3-D view of Val Belluna-Montello-Cansiglio area. The red lines represent the faults, the yellow arrow points the backthust of the Bassano-Valdobbiadene thrust fault, chosen as source of deformation for our model. The cross section of this area along the dashed white line, modified from Carta Geologica d’Italia, Foglio Belluno, is presented in the bottom right figure, where the chosen source of deformation is highlighted in blue and the positions of the GPS stations along this profile, implemented in the COMSOL software for displacements computations are in red. Top right: Process driving to the hydrological transient deformation. In green permeable layers, while in purple the impermeable one.