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A Stochastic Analysis of a Model Earthquake Sequence
Author(s) -
Knopoff L.,
Mitchel R.,
Jackson D. D.
Publication year - 1972
Publication title -
geophysical journal of the royal astronomical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 168
eISSN - 1365-246X
pISSN - 0016-8009
DOI - 10.1111/j.1365-246x.1972.tb06158.x
Subject(s) - geology , induced seismicity , sequence (biology) , seismology , stochastic modelling , poisson distribution , shock (circulatory) , deformation (meteorology) , stochastic process , poisson process , aftershock , foreshock , fault (geology) , statistical physics , statistics , mathematics , physics , medicine , genetics , oceanography , biology
Summary A long sequence of simulated earthquake events on a one‐dimensional model of seismicity was studied to see if the statistics of these events can be used to discriminate between two statistical models. In these two models, seismic events are considered to be either generated as Poisson independent phenomena or derived from a stochastic process operating on the energy of deformation of the fault region. The results favour the latter model. The probability of occurrence of a shock increases with increasing energy of deformation.