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  • 1
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    The first-order statistical moment of the seismic moment tensor (1985)
    In:  Geophys. J. R. astr. Soc., London, Icelandic Meteorological Office, Ministry for the Environment University of Iceland, vol. 81, no. 4, pp. 429-444, pp. B02206, (ISSN 0016-8548, ISBN 3-510-50045-8)
    Details
    Publication Date: 1985
    Keywords: Moment tensor ; Statistical investigations ; Seismology ; GJRaS ; nokms
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    BIBLIOGRAPHY SEISMOLOGY
  • 2
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    Statistical study of the occurrence of shallow earthquakes (1978)
    In:  Geophys. J. R. astr. Soc., London, Icelandic Meteorological Office, Ministry for the Environment University of Iceland, vol. 55, no. 4, pp. 67-86, pp. B02206, (ISSN 0016-8548, ISBN 3-510-50045-8)
    Details
    Publication Date: 1978
    Keywords: Seismicity ; Statistical investigations ; GJRaS
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    BIBLIOGRAPHY SEISMOLOGY
  • 3
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    Statistical short-term earthquake prediction (1987)
    In:  Science, London, Icelandic Meteorological Office, Ministry for the Environment University of Iceland, vol. 236, no. 4, pp. 1563-1567, pp. B02206, (ISSN 0016-8548, ISBN 3-510-50045-8)
    Details
    Publication Date: 1987
    Keywords: Seismicity ; Earthquake precursor: prediction research ; Statistical investigations ; Fracture ; growth ; Fore-shocks
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    BIBLIOGRAPHY SEISMOLOGY
  • 4
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    Earthquake risk prediction as a stochastic process (1977)
    In:  Phys. Earth Plan. Int., London, Icelandic Meteorological Office, Ministry for the Environment University of Iceland, vol. 14, no. 4, pp. 97-108, pp. B02206, (ISSN 0016-8548, ISBN 3-510-50045-8)
    Details
    Publication Date: 1977
    Keywords: Earthquake precursor: prediction research ; Statistical investigations ; Seismicity ; Earthquake precursor: statistical anal. of seismicity ; PEPI
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    BIBLIOGRAPHY SEISMOLOGY
  • 5
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    Statistical search for non-random features of the seismicity of strong earthquakes (1976)
    In:  Phys. Earth Plan. Int., London, Icelandic Meteorological Office, Ministry for the Environment University of Iceland, vol. 12, no. 4, pp. 291-318, pp. B02206, (ISSN 0016-8548, ISBN 3-510-50045-8)
    Details
    Publication Date: 1976
    Keywords: Seismology ; Statistical investigations ; Seismicity ; PEPI
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    BIBLIOGRAPHY SEISMOLOGY
  • 6
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    Pattern recognition applied to earthquake epicenters in California (1976)
    In:  Phys. Earth Plan. Int., Regensburg, Inst. Electrical & Electronics Engineers, vol. 11, no. 4, pp. 227-283, pp. TC5001, (ISBN: 0534351875, 2nd edition)
    Details
    Publication Date: 1976
    Keywords: Seismicity ; Earthquake precursor: prediction research ; Earthquake precursor: statistical anal. of seismicity ; Seismicity ; Pattern recognition ; PEPI ; FROTH ; (abstract)
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    BIBLIOGRAPHY SEISMOLOGY
  • 7
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    Multimode surface waves for selected focal mechanisms - 2. Dip slip sources (1975)
    In:  Geophys. J. R. astr. Soc., Naples, AGU, vol. 42, no. 2, pp. 931-943, pp. 1273, (ISSN: 1340-4202)
    Details
    Publication Date: 1975
    Keywords: Surface waves ; Fault plane solution, focal mechanism ; Dip-slip ; GJRaS
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    BIBLIOGRAPHY SEISMOLOGY
  • 8
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    A model of foreshock occurrence (1989)
    In:  Geophys. J. RAS, DGG and EGS, Reykjavík, Icelandic Meteorological Office, Ministry for the Environment, University of Iceland, vol. 96, no. 5694, pp. 389-399, pp. 2212, (ISSN: 1340-4202)
    Details
    Publication Date: 1989
    Keywords: Earthquake precursor: statistical anal. of seismicity ; Earthquake precursor: prediction research ; Rock mechanics ; Stress ; Fore-shocks ; Statistical investigations
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    BIBLIOGRAPHY SEISMOLOGY
  • 9
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    Statistical short-term earthquake prediction (1987)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 1987-06-19
    Description: A statistical procedure, derived from a theoretical model of fracture growth, is used to identify a foreshock sequence while it is in progress. As a predictor, the procedure reduces the average uncertainty in the rate of occurrence for a future strong earthquake by a factor of more than 1000 when compared with the Poisson rate of occurrence. About one-third of all main shocks with local magnitude greater than or equal to 4.0 in central California can be predicted in this way, starting from a 7-year database that has a lower magnitude cut off of 1.5. The time scale of such predictions is of the order of a few hours to a few days for foreshocks in the magnitude range from 2.0 to 5.0.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kagan, Y Y -- Knopoff, L -- New York, N.Y. -- Science. 1987 Jun 19;236(4808):1563-7.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17835741" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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    PAPER CURRENT
  • 10
    Electronic Resource
    Electronic Resource
    A model of foreshock occurrence (1989)
    Oxford, UK : Blackwell Publishing Ltd
    Geophysical journal international 96 (1989), S. 0 
    Details
    ISSN: 1365-246X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: We have constructed a model for the occurrence of foreshocks and foreshock sequences. The foreshocks as well as the main shock are assumed to occur because of the abrupt coalescence of pre-existing cracks. Coalescence occurs if the stress intensity factors at the crack tips exceed a certain critical value. In the sub-critical state each crack undergoes accelerated extension quasi-statically due to stress corrosion, until it reaches the critical state, at which point growth becomes catastrophic.The rate of foreshock occurrence increases as the time of the main shock approaches and is described by a power law function of time. The exponent in the power law is independent of the distributions of crack sizes, spacings and fracture strengths. This universality implies that foreshock patterns should be useful identifiers for the prediction of the occurrence times of large earthquakes. However, we find that there is considerable diversity in the patterns of energy release. Nevertheless, there is some hope that the magnitudes of large earthquakes can be predicted from the magnitudes of the events in the foreshock sequences if one has a priori information describing the distributions of barrier strengths and geometries.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1365-246X.1989.tb06003.x
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    Paper (German National Licenses)
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