Source mechanism from spectrums of long-period surface waves: 2. The Kamchatka earthquake of November 4, 1952

Fourier analysis of mantle Love and Rayleigh waves from the source of the Kamchatka earthquake of November 4, 1952, recorded on the Benioff linear strain seismograph at Pasadena, furnished further evidence in support of the moving-source theory. Amplitude and phase spectrums of G_1, G_2, G_3, G_4, R...

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Bibliographic Details
Published in:Journal of Geophysical Research
Main Authors: Ben-Menahem, Ari, Toksöz, M. Nafi
Format: Article in Journal/Newspaper
Language:unknown
Published: American Geophysical Union 1963
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Online Access:https://doi.org/10.1029/JZ068i018p05207
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Summary:Fourier analysis of mantle Love and Rayleigh waves from the source of the Kamchatka earthquake of November 4, 1952, recorded on the Benioff linear strain seismograph at Pasadena, furnished further evidence in support of the moving-source theory. Amplitude and phase spectrums of G_1, G_2, G_3, G_4, R_2, and R_3 were processed to obtain information on the mechanism at the source. Both the directivity and the differential phase agree on a unilateral fault of 700 km which ruptured with a speed of 3 km/sec in the direction N 146° W. The fault length is in good agreement with the extent of aftershock distribution in the month of November 1952. The initial phases of Love and Rayleigh waves agree on a mechanism of a right orthogonal double couple with a time dependence which is close to the Heaviside step function. Copyright 1963 by the American Geophysical Union. (Manuscript received April 5, 1963; revised June 25, 1963.) This research was supported by grant AF-AFOSR-25-63 of the Air Force Office of Scientific Research as part of the Advanced Research Projects Agency project Vela. We wish to express our thanks to Professor Hugo Benioff for his deep interest in the project. Acknowledgments are also due Professor Frank Press and Dr. Keiiti Aki for a critical reading of the manuscript. The time series analysis and azimuth-distance computer programs used in the data analysis were written by Dr. Shelton S. Alexander. Published - jgr6431.pdf