GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 1.1 GNGTS 2024 References Ellsworth W. L.; 2013: Injecton-induced earthquakes . Science, 341(6142), 1225942. Neely J. S., Salditch L., Spencer B. D. and Stein S.; 2023: A More Realistc Earthquake Probability Model Using Long‐Term Fault Memory . Bull. Seismol. Soc. Am., 113(2), 843-855. Rice J. R. and Cocco M.; 2007: Seismic fault rheology and earthquake dynamics. Tectonic faults: Agents of change on a dynamic earth, 99-137. Ross Z. E., Hauksson E. and Ben-Zion, Y.; 2017: Abundant of-fault seismicity and orthogonal structures in the San Jacinto fault zone . Sci. Adv., 3(3), e1601946. Tan Y. J., Waldhauser F., Ellsworth W. L., Zhang M., Zhu W., Michele M., ... and Segou M.; 2021: Machine-learning-based high-resoluton earthquake catalog reveals how complex fault structures were actvated during the 2016–2017 Central Italy sequence . The Seismic Record, 1(1), 11-19. Zaccagnino D. and Doglioni C.; 2022: The impact of faultng complexity and type on earthquake rupture dynamics . Commun. Earth Environ., 3(1), 258. Corresponding author: davide.zaccagnino@uniroma1.it