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SUMMARY:Data-driven slow earthquake dynamics - Adriano Gualandi\, Departme
 nt of Earth Sciences
DTSTART:20240213T120000Z
DTEND:20240213T130000Z
UID:TALK210190@talks.cam.ac.uk
CONTACT:Dr Rachael Rhodes
DESCRIPTION:Earthquakes are a destructive natural phenomenon with high soc
 ietal costs and impact. A better understanding and characterisation of the
 ir underlying governing equations can help to better estimate the hazard a
 ssociated with them. Slow slip events (SSEs) show many similarities with r
 egular earthquakes but are characterised by a much shorter recurrence time
  (months/years instead of decades/millennia)\, offering us the possibility
  to study multiple cycles. Being able to model their dynamics can answer q
 uestions concerning the complexity of the frictional failure phenomenon at
  natural scale and its predictability. Studying slow earthquakes in nature
  and in the lab\, I will show how a system of Stochastic Differential Equa
 tions can help us better characterise the seismic cycle\, offering an alte
 rnative way to the classical two end members (purely deterministic or pure
 ly stochastic) used to describe seismicity. Blending the deterministic and
  stochastic approaches shows that friction is highly sensitive to small pe
 rturbations\, suggesting that the macroscopic dynamics is influenced by sm
 all scale interactions. The so-called fast degrees of freedom active at th
 e small spatio-temporal scales can be taken into account via a stochastic 
 framework\, while the underlying low-dimensional deterministic dynamics is
  used as a support to describe the evolution of the system.
LOCATION:Department of Earth Sciences\, Tilley Lecture Theatre
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