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Large Occurrence Patterns of New Zealand Deep Earthquakes: Characterization by Use of a Switching Poisson Model.

Authors :
Lu Shaochuan
Vere-Jones, David
Source :
Pure & Applied Geophysics. Oct2011, Vol. 168 Issue 10, p1567-1585. 19p. 8 Charts, 11 Graphs, 4 Maps.
Publication Year :
2011

Abstract

The paper studies the statistical properties of deep earthquakes around North Island, New Zealand. We first evaluate the catalogue coverage and completeness of deep events according to cusum (cumulative sum) statistics and earlier literature. The epicentral, depth, and magnitude distributions of deep earthquakes are then discussed. It is worth noting that strong grouping effects are observed in the epicentral distribution of these deep earthquakes. Also, although the spatial distribution of deep earthquakes does not change, their occurrence frequencies vary from time to time, active in one period, relatively quiescent in another. The depth distribution of deep earthquakes also hardly changes except for events with focal depth less than 100 km. On the basis of spatial concentration we partition deep earthquakes into several groups-the Taupo-Bay of Plenty group, the Taranaki group, and the Cook Strait group. Second-order moment analysis via the two-point correlation function reveals only very small-scale clustering of deep earthquakes, presumably limited to some hot spots only. We also suggest that some models usually used for shallow earthquakes fit deep earthquakes unsatisfactorily. Instead, we propose a switching Poisson model for the occurrence patterns of deep earthquakes. The goodness-of-fit test suggests that the time-varying activity is well characterized by a switching Poisson model. Furthermore, detailed analysis carried out on each deep group by use of switching Poisson models reveals similar time-varying behavior in occurrence frequencies in each group. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00334553
Volume :
168
Issue :
10
Database :
Academic Search Index
Journal :
Pure & Applied Geophysics
Publication Type :
Academic Journal
Accession number :
65797672
Full Text :
https://doi.org/10.1007/s00024-011-0263-9