Multifractal analysis of 2001 Mw7.7 Bhuj earthquake sequence in Gujarat, Western India
Author
dc.contributor.author
Kumar Aggarwal, Sandeep
Author
dc.contributor.author
Pastén Guzmán, Denisse
Author
dc.contributor.author
Kumar Khan, Prosanta
Admission date
dc.date.accessioned
2018-07-11T20:29:04Z
Available date
dc.date.available
2018-07-11T20:29:04Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
Physica A, 488 (2017) 177–186
es_ES
Identifier
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http://dx.doi.org/10.1016/j.physa.2017.06.022
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/149759
Abstract
dc.description.abstract
The 2001 Mw7.7 Bhuj mainshock seismic sequence in the Kachchh area, occurring during
2001 to 2012, has been analyzed using mono-fractal and multi-fractal dimension spectrum
analysis technique. This region was characterized by frequent moderate shocks of Mw ≥
5.0 for more than a decade since the occurrence of 2001 Bhuj earthquake. The present
study is therefore important for precursory analysis using this sequence. The selected longsequence
has been investigated first time for completeness magnitude Mc 3.0 using the
maximum curvature method. Multi-fractal Dq spectrum (Dq ∼ q) analysis was carried
out using effective window-length of 200 earthquakes with a moving window of 20 events
overlapped by 180 events. The robustness of the analysis has been tested by considering the
magnitude completeness correction term of 0.2 to Mc 3.0 as Mc 3.2 and we have tested the
error in the calculus of Dq for each magnitude threshold. On the other hand, the stability
of the analysis has been investigated down to the minimum magnitude of Mw ≥ 2.6 in
the sequence. The analysis shows the multi-fractal dimension spectrum Dq decreases with
increasing of clustering of events with time before a moderate magnitude earthquake in
the sequence, which alternatively accounts for non-randomness in the spatial distribution
of epicenters and its self-organized criticality. Similar behavior is ubiquitous elsewhere
around the globe, and warns for proximity of a damaging seismic event in an area. OS:
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