Javascript must be enabled to continue!
The epicentral fingerprint of earthquakes
View through CrossRef
<p>InSAR images allow to detect the coseismic deformation, delimiting the epicentral area where the larger displacement has been concentrated. The main observations are: 1) the most deformed area in the ideal case is elliptical (for dip-slip faults) or quadrilobated (for strike-slip faults) and coincides with the surface projection of the volume coseismically mobilized in the hanging wall of thrusts and normal faults, or the crustal walls adjacent to strike-slip faults; 2) the dimension of the deformed area detected by InSAR scales with magnitude of earthquake and for M&#8805;6 is always larger than 100 km, increasing to more than 550 km<sup>2</sup> for M&#8776;6.5; 3) the seismic epicenter rarely coincide with the area of larger vertical shaking (either downward or upward); 4) the higher macroseismic intensity corresponds to the area of larger vertical displacement, apart from local site amplification effects; 5) outside this area, the vertical displacement is drastically lower, determining the strong attenuation of seismic waves and the decrease of the peak ground acceleration in the surrounding far field area, apart from local site amplifications; 6) the segment of the activated fault constrains the area where the vertical oscillations have been larger, allowing the contemporaneous maximum freedom degree of the crustal volume affected by horizontal maximum shaking, i.e., the near field or epicentral area; 7) therefore, the epicentral area and volume are active, i.e., they coseismically move and are contemporaneously crossed by seismic waves (active volume), whereas the surrounding far field area is mainly fixed and passively crossed by seismic waves (passive volume). Therefore, here we show how the InSAR images of areas affected by earthquakes represent the fingerprint of the epicentral area where the largest shaking has taken place during an earthquake. Seismic hazard assessments should rely on those data.</p>
Title: The epicentral fingerprint of earthquakes
Description:
<p>InSAR images allow to detect the coseismic deformation, delimiting the epicentral area where the larger displacement has been concentrated.
The main observations are: 1) the most deformed area in the ideal case is elliptical (for dip-slip faults) or quadrilobated (for strike-slip faults) and coincides with the surface projection of the volume coseismically mobilized in the hanging wall of thrusts and normal faults, or the crustal walls adjacent to strike-slip faults; 2) the dimension of the deformed area detected by InSAR scales with magnitude of earthquake and for M&#8805;6 is always larger than 100 km, increasing to more than 550 km<sup>2</sup> for M&#8776;6.
5; 3) the seismic epicenter rarely coincide with the area of larger vertical shaking (either downward or upward); 4) the higher macroseismic intensity corresponds to the area of larger vertical displacement, apart from local site amplification effects; 5) outside this area, the vertical displacement is drastically lower, determining the strong attenuation of seismic waves and the decrease of the peak ground acceleration in the surrounding far field area, apart from local site amplifications; 6) the segment of the activated fault constrains the area where the vertical oscillations have been larger, allowing the contemporaneous maximum freedom degree of the crustal volume affected by horizontal maximum shaking, i.
e.
, the near field or epicentral area; 7) therefore, the epicentral area and volume are active, i.
e.
, they coseismically move and are contemporaneously crossed by seismic waves (active volume), whereas the surrounding far field area is mainly fixed and passively crossed by seismic waves (passive volume).
Therefore, here we show how the InSAR images of areas affected by earthquakes represent the fingerprint of the epicentral area where the largest shaking has taken place during an earthquake.
Seismic hazard assessments should rely on those data.
</p>.
Related Results
Research and Application of Underground WLAN Adaptive Radio Fingerprint Database
Research and Application of Underground WLAN Adaptive Radio Fingerprint Database
Fingerprint positioning based on WiFi in coal mines has received much attention because of the widespread application of WiFi. Fingerprinting techniques have developed rapidly due ...
Student Attendance System Using Fingerprint and Raspberry Pi with Notification
Student Attendance System Using Fingerprint and Raspberry Pi with Notification
Fingerprint is an application designed to meet the needs of fast data using fingerprint verification. A fingerprint attendance machine is a type of biometric attendance machine tha...
Decoding the Science of Fingerprints: The Influence of Sex and Blood Group on Dermatoglyphic Traits among Medical Students
Decoding the Science of Fingerprints: The Influence of Sex and Blood Group on Dermatoglyphic Traits among Medical Students
Background: Fingerprint or dermatoglyphics is the study of the patterns of dermal ridges and bridges on the volar surfaces of the fingers, palms, and soles. Fingerprint ridge patte...
A simple discrete element model for large multiplet earthquakes
A simple discrete element model for large multiplet earthquakes
Adjacent segments of the plate boundary may fail separately as earthquakes that occur very close in time. When the time between events is a small fraction of the recurrence interva...
Space-Time Anomaly Characteristics of Strain Field before the Ms≥7.0 Earthquakes, In Mainland China
Space-Time Anomaly Characteristics of Strain Field before the Ms≥7.0 Earthquakes, In Mainland China
Abstract
Seismologists focus on analyzing and capturing medium and short-term impending anomalies of medium and small earthquakes before large earthquakes. The natural orth...
GLOBAL EARTHQUAKES
GLOBAL EARTHQUAKES
The information on the Earth seismicity in 2013 at the level of strong earthquakes with M≥6 is provided according to the Seismological Bulletin of the Geophysical Survey of RAS (GS...
Efficient 2‐fold contextual filtering approach for fingerprint enhancement
Efficient 2‐fold contextual filtering approach for fingerprint enhancement
Automated personal authentication has become increasingly important in modern information driven society and in this regard fingerprint‐based personal identification is considered ...
Test Data Algoritma Kromosom Pada Sidik Jari Menggunakan Jaringan Syaraf
Test Data Algoritma Kromosom Pada Sidik Jari Menggunakan Jaringan Syaraf
Biometric features that can be used for identification include iris, voice, DNA and fingerprints. Fingerprints are the most widely used biometric feature because of their uniquenes...

