Earthquake Prediction and Seismicity Patterns Max Wyss (ed.), Birkhauser Verlag, Basel, 1979 1315 pp. 18.20
نویسندگان
چکیده
منابع مشابه
DISPLACEMENT ON THE SAN ANDREAS FAULT SUBSEQUENT TO THE 1966 PARKFIELD EARTHQUAKE BY STEWART W. SMITH AND MAX WYss
Immediately following the 1966 Parkfield earthquake a continuing program of fault displacement measurements was undertaken, and several types of instruments were installed in the fault zone to monitor ground motion. In the year subsequent to the earthquake a maximum of at least 20 cm of displacement occurred on a 30 km section of the San Andreas fault, which far exceeded the surfidal displaceme...
متن کاملTHE SOURCE PARAMETERS OF THE SAN FERNANDO EARTHQUAKE INFERRED FROM TELESEISMIC BODY WAVES BY MAX WYss AND THOMAS
The accuracy of teleseismic estimates of moment, fault area, dislocation and stress drop was tested for the case of a thrust fault: the San Fernando, California, earthquake of Feburary 9, 1971. On the basis of P-wave spectra of 25 stations and S-wave spectra of 9 stations, the respective values were found to be 0.7.1026 dyne-cm, 570 km 2, 45 cm, and 14 bars. They agree well with the same parame...
متن کاملSOURCE PARAMETERS OF THE BORREGO MOUNTAIN EARTHQUAKE1 By MAx WYss
Spectral analysis of teleseismic body phases at several azimuths was used to determine the moment, fault length, dislocation, stress-drop, and radiated energy of the Borrego Mountain earthquake. The results agree well with the same parameters obtained from the surface fracture and aftershock distribution and local observations of radiated energy.
متن کاملPrecursory Seismicity Patterns
Mature seismic gaps are defined here as gaps in which a possible precursor to a future event has been identified. The seismic potential of these seismic gaps is enhanced relative to immature seismic gaps. The seismic gap hypothesis by itself provides an excellent means of narrowing spatial limits along plate boundaries within which the great earthquakes of the next several decades are expected....
متن کاملNeural Network Models for Earthquake Magnitude Prediction Using Multiple seismicity Indicators
Neural networks are investigated for predicting the magnitude of the largest seismic event in the following month based on the analysis of eight mathematically computed parameters known as seismicity indicators. The indicators are selected based on the Gutenberg-Richter and characteristic earthquake magnitude distribution and also on the conclusions drawn by recent earthquake prediction studies...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geophysical Journal International
سال: 1981
ISSN: 0956-540X,1365-246X
DOI: 10.1093/gji/64.3.806