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TS5.4/NH4.8/SM6.6

Advances in understanding earthquake processes and hazards in regions of slow lithospheric deformation (co-organized)
Convener: Ryan Gold  | Co-Conveners: Susana Custódio , Pierre Arroucau , Sierd Cloetingh , Simon Kübler , Gordana Vlahovic 
Orals
 / Fri, 28 Apr, 10:30–12:00  / Room 0.31
Posters
 / Attendance Fri, 28 Apr, 17:30–19:00  / Hall X2
Earthquakes that occur within regions of slow lithospheric deformation (low strain regions) are inherently difficult to study. The long interval between earthquakes coupled with natural and anthropogenic modification limit preservation of such events in the landscape. Low deformation rates push the limits of modern geodetic observation techniques. The short instrumental record challenges extrapolation of small earthquake recurrence based on modern seismological measurement to characterize the probability of larger, more damaging earthquakes. Characterizing the earthquake cycle in low-strain settings is further compounded by temporal clustering of earthquakes, punctuated by long periods of quiescence (e.g. non-steady recurrence intervals). However, earthquakes in slowly deforming regions can reach very high magnitudes and pose significant risk to populations. 
 
This session seeks to integrate paleoseismic, geomorphic, geodetic, geophysical, and seismologic datasets to provide a comprehensive understanding of the earthquake cycle. This session will draw upon recent advances in high-resolution topography, geochronology, satellite geodesy techniques, subsurface imaging techniques, longer seismological records and other high-density geophysical networks and unprecedented computational power to explore the driving mechanisms for earthquakes in low-strain settings. We welcome contributions that (1) present new observations that place constraints on earthquake occurrence in low-strain regions, (2) explore patterns of stable or temporally varying earthquake recurrence, and (3) provide insight into the mechanisms that control intraplate earthquakes via observation and/or modeling.