The 2010-2011 Canterbury, New Zealand, seismic sequence: Multiple source analysis from InSAR data and modeling

The 2010–2011 Canterbury sequence is a complex system of seismic events that started with a Mw7.1 earthquake and continued with large aftershocks with dramatic consequences, particularly for the city of Christchurch. We model the main earthquakes using InSAR data, providing displacement maps and the...

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Published inJournal of Geophysical Research: Solid Earth Vol. 117; no. B8
Main Authors Atzori, S., Tolomei, C., Antonioli, A., Merryman Boncori, J. P., Bannister, S., Trasatti, E., Pasquali, P., Salvi, S.
Format Journal Article
LanguageEnglish
Published Washington, DC Blackwell Publishing Ltd 01.08.2012
American Geophysical Union
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Summary:The 2010–2011 Canterbury sequence is a complex system of seismic events that started with a Mw7.1 earthquake and continued with large aftershocks with dramatic consequences, particularly for the city of Christchurch. We model the main earthquakes using InSAR data, providing displacement maps and the respective modeling for the September 4th, 2010, February 22nd, 2011 and June 13th, 2011 events. Relocated aftershocks, field and GPS surveys are used to constrain models obtained by inversion of InSAR data; the fault slip distribution is retrieved with a variable patch size approach aimed at maximizing the spatial resolution on the fault plane. For the September 2010 earthquake we estimated significant slip values below 10 km depth; the calamitous February 2011 event in Christchurch is modeled with a double fault source with slip values less than 2 m down to 7 km depth; for the second June 13th event in Christchurch we identified a NW‐SE striking fault as responsible for the earthquake. Last, we introduce the use of InSAR coherence maps to quickly detect the areas subject to soil liquefaction in Christchurch, as shown for the two main events. Key Points We model with a full‐resolution approach the 2010‐2011 Canterbury sequence We analyze the stress transfer between faults We exploit coherence maps to detect soil liquefaction
Bibliography:ArticleID:2012JB009178
istex:81B145E26D17B045340582FACFF60E846CA5AA95
ark:/67375/WNG-35SPFDVN-6
ISSN:0148-0227
2156-2202
DOI:10.1029/2012JB009178