Frequency Distribution of Earthquake Magnitude, Seismicity and Related Problems
نویسندگان
چکیده
منابع مشابه
Fractal dimension and earthquake frequency-magnitude distribution in the North of Central-East Iran Blocks (NCEIB)
The Gutenberg–Richter parameters (a and b), fractal dimension (DC), and relationships between these parameters are calculated for different regions of the North of Central-East Iran Blocks (NCEIB). The whole examined area (between 34°-36° N and 55°-61° E) is divided into 55 equal square grids. Both the a and b values for the frequency-magnitude distribution (FMD) and the fractal dimension (DC) ...
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ACKNOWLEDGEMENTS I would like to thank my primary advisor Dr. Andrew V. Newman for providing his excellent guidance and scientific insight throughout the study. I am thankful to Dr. for their thoughtful advice and suggestions. I am grateful to Dr. Tapas Bhattacharyya for the stimulating discussions and his support. I would also like to thank numerous prior and recent earthquake analysts, includ...
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The magnitude 7.3 Landers earthquake of 28 June 1992 triggered a remarkably sudden and widespread increase in earthquake activity across much of the western United States. The triggered earthquakes, which occurred at distances up to 1250 kilometers (17 source dimensions) from the Landers mainshock, were confined to areas of persistent seismicity and strike-slip to normal faulting. Many of the t...
متن کاملfractal dimension and earthquake frequency-magnitude distribution in the north of central-east iran blocks (nceib)
the gutenberg–richter parameters (a and b), fractal dimension (dc), and relationships between these parameters are calculated for different regions of the north of central-east iran blocks (nceib). the whole examined area (between 34°-36° n and 55°-61° e) is divided into 55 equal square grids. both the a and b values for the frequency-magnitude distribution (fmd) and the fractal dimension (dc) ...
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...
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ژورنال
عنوان ژورنال: Zisin (Journal of the Seismological Society of Japan. 2nd ser.)
سال: 1957
ISSN: 0037-1114,1883-9029,2186-599X
DOI: 10.4294/zisin1948.10.1_24