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Use of statistical data in assessing local seismicity
Author(s) -
Rosenblueth Emilio
Publication year - 1986
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/eqe.4290140302
Subject(s) - induced seismicity , bayes' theorem , poisson distribution , geology , seismology , statistical model , probabilistic logic , poisson process , magnitude (astronomy) , bayesian probability , statistics , mathematics , physics , astronomy
Local seismicity is a probabilistic description of earthquake generation in a region. Here we begin by defining the shape of the curve of exceedance rate vs. magnitude on the assumption that earthquake generation is a Poisson process. Probability distributions are assigned to the parameters of the curve, based on geotectonic information. Then statistical data are incorporated using Bayes' theorem. Posterior distributions are improved through use of data from tectonically similar regions.