Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/13102
Authors: Scala, Antonio* 
Lorito, Stefano* 
Romano, Fabrizio* 
Murphy, Shane* 
Selva, Jacopo* 
Basili, Roberto* 
Babeyko, Andrey* 
Herrero, André* 
Hoechner, Andreas* 
Løvholt, Finn* 
Maesano, Francesco Emanuele* 
Perfetti, Paolo* 
Tiberti, Mara Monica* 
Tonini, Roberto* 
Volpe, Manuela* 
Davies, Gareth* 
Festa, Gaetano* 
Power, William* 
Piatanesi, Alessio* 
Cirella, Antonella* 
Title: Effect of Shallow Slip Amplification Uncertainty on Probabilistic Tsunami Hazard Analysis in Subduction Zones: Use of Long-Term Balanced Stochastic Slip Models
Journal: Pure and Applied Geophysics 
Series/Report no.: /177 (2020)
Publisher: Springer
Issue Date: 2020
DOI: 10.1007/s00024-019-02260-x
Abstract: The complexity of coseismic slip distributions influences the tsunami hazard posed by local and, to a certain extent, distant tsunami sources. Large slip concentrated in shallow patches was observed in recent tsunamigenic earthquakes, possibly due to dynamic amplification near the free surface, variable frictional conditions or other factors. We propose a method for incorporating enhanced shallow slip for subduction earthquakes while preventing systematic slip excess at shallow depths over one or more seismic cycles. The method uses the classic k−2 stochastic slip distributions, augmented by shallow slip amplification. It is necessary for deep events with lower slip to occur more often than shallow ones with amplified slip to balance the long-term cumulative slip. We evaluate the impact of this approach on tsunami hazard in the central and eastern Mediterranean Sea adopting a realistic 3D geometry for three subduction zones, by using it to model ~ 150,000 earthquakes with 𝑀𝑤 from 6.0 to 9.0. We combine earthquake rates, depth-dependent slip distributions, tsunami modeling, and epistemic uncertainty through an ensemble modeling technique. We found that the mean hazard curves obtained with our method show enhanced probabilities for larger inundation heights as compared to the curves derived from depth-independent slip distributions. Our approach is completely general and can be applied to any subduction zone in the world.
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