T31A-2836
Millennial strain partitioning and fault interaction revealed by 36Cl cosmogenic nuclide datasets from Abruzzo, Central Italy

Wednesday, 16 December 2015
Poster Hall (Moscone South)
Laura C Gregory1, Richard J Phillips2, Gerald Roberts3, Patience A Cowie4, Richard P Shanks5, Ken J W McCaffrey6, Luke N J Wedmore3 and Leo Zijerveld4, (1)University of Leeds, Leeds, United Kingdom, (2)School of Earth & Environment, University of Leeds, Leeds, United Kingdom, (3)University College London, London, United Kingdom, (4)University of Bergen, Bergen, Norway, (5)Scottish Universities Environmental Research Center at the University of Glasgow, East Kilbride, United Kingdom, (6)University of Durham, Durham, United Kingdom
Abstract:
In zones of distributed continental faulting, it is critical to understand how slip is partitioned onto brittle structures over both long-term millennial time scales and shorter-term individual earthquake cycles. The comparison of slip distributions on different timescales is challenging due to earthquake repeat-times being longer or similar to historical earthquake records, and a paucity of data on fault activity covering millennial to Quaternary scales in detail. Cosmogenic isotope analyses from bedrock fault scarps have the potential to bridge the gap, as these datasets track the exposure of fault planes due to earthquakes with better-than-millennial resolution. In this presentation, we will use an extensive 36Cl dataset to characterise late Holocene activity across a complicated network of normal faults in Abruzzo, Italy, comparing the most recent fault behaviour with the historical earthquake record in the region.

Extensional faulting in Abruzzo has produced scarps of exposed bedrock limestone fault planes that have been preserved since the last glacial maximum (LGM). 36Cl accumulates in bedrock fault scarps as the plane is progressively exhumed by earthquakes and thus the concentration of 36Cl measured up the fault plane reflects the rate and patterns of slip. In this presentation, we will focus on the most recent record, revealed at the base of the fault. Utilising new Bayesian modelling techniques on new and previously collected data, we compare evidence for this most recent period of slip (over the last several thousands of years) across 5-6 fault zones located across strike from each other. Each sampling site is carefully characterised using LiDAR and GPR. We demonstrate that the rate of slip on individual fault strands varies significantly, between having periods of accelerated slip to relative quiescence. Where data is compared between across-strike fault zones and with the historical catalogue, it appears that slip is partitioned such that one fault zone takes up a significant portion of strain across the region for hundreds to thousands of years.