Development and Validation of a 3D Seismic‐Velocity Model for the Crust in Eastern Marmara

2017 ◽  
Vol 107 (6) ◽  
pp. 2994-3003
Author(s):  
Seda Yelkenci‐Necmioğlu ◽  
Mustafa Aktar
Keyword(s):  
Seismic Velocity ◽  
Velocity Model ◽  
3D Seismic ◽  
Development And Validation

Development and Testing of a 3D Seismic Velocity Model of the Po Plain Sedimentary Basin, Italy

2015 ◽  
Vol 105 (2A) ◽  
pp. 753-764 ◽  
Author(s):  
Irene Molinari ◽  
Andrea Argnani ◽  
Andrea Morelli ◽  
Piero Basini
Keyword(s):  
Sedimentary Basin ◽  
Seismic Velocity ◽  
Velocity Model ◽  
3D Seismic ◽  
Po Plain

Three-Dimensional Seismic-Wave Propagation Simulations in the Southern Korean Peninsula Using Pseudodynamic Rupture Models

2021 ◽  
Author(s):  
Jaeseok Lee ◽  
Jung-Hun Song ◽  
Seongryong Kim ◽  
Junkee Rhie ◽  
Seok Goo Song
Keyword(s):  
Wave Propagation ◽  
Ground Motion ◽  
Korean Peninsula ◽  
Seismic Velocity ◽  
Ground Motions ◽  
Velocity Model ◽  
Wave Radiation ◽  
3D Seismic ◽  
Earthquake Scenarios ◽  
Large Earthquakes

ABSTRACT Accurate and practical ground-motion predictions for potential large earthquakes are crucial for seismic hazard analysis of areas with insufficient instrumental data. Studies on historical earthquake records of the Korean Peninsula suggest that damaging earthquakes are possible in the southeastern region. Yet classical ground-motion prediction methods are limited in considering the physical rupture process and its effects on ground motion in complex velocity structures. In this study, we performed ground-motion simulations based on rigorous physics through pseudodynamic source modeling and wave propagation simulations in a 3D seismic velocity model. Ensembles of earthquake scenarios were generated by emulating the one- and two-point statistics of earthquake source parameters derived from a series of dynamic rupture models. The synthetic seismograms and the distributions of simulated peak ground velocities (PGVs) were compared with the observations of the 2016 Mw 5.4 Gyeongju earthquake in the Korean Peninsula. The effects of surface-wave radiation, rupture directivity, and both local and regional amplifications from the 3D wave propagation were reproduced accurately in the spatial distribution of simulated PGVs, in agreement with the observations from dense seismic networks by mean log residuals of −0.28 and standard deviations of 0.78. Amplifications in ground motions were found in regions having low crustal velocities and in regions of constructive interference from the crustal shear-wave phases associated with postcritical reflections from the Moho discontinuity. We extended the established approach to earthquake scenarios of Mw 6.0, 6.5, and 7.0, at the same location, to provide the distribution of ground motions from potential large earthquakes in the area. Although we demonstrate the value of these simulations, improvements in the accuracy of the 3D seismic velocity model and the scaling relationship of the source models would be necessary for a more accurate estimation of near-source ground motions.

Salt delineation via interpreter-guided 3D seismic image segmentation

2014 ◽  
Vol 2 (2) ◽  
pp. T79-T88 ◽  
Author(s):  
Adam D. Halpert ◽  
Robert G. Clapp ◽  
Biondo Biondi
Keyword(s):  
Image Segmentation ◽  
Model Building ◽  
Seismic Velocity ◽  
Automatic Segmentation ◽  
Velocity Model ◽  
3D Seismic ◽  
Velocity Model Building ◽  
Crucial Component ◽  
Seismic Image ◽  
Unique Nature

Although it is a crucial component of seismic velocity model building, salt delineation is often a major bottleneck in the interpretation workflow. Automatic methods like image segmentation can help to alleviate this bottleneck, but issues with accuracy and efficiency can hinder their effectiveness. However, a new graph-based segmentation algorithm can, after modifications to account for the unique nature of seismic data, quickly and accurately delineate salt bodies on 3D seismic images. In areas where salt boundaries are poorly imaged, limited manual interpretations can be used to guide the automatic segmentation, allowing for interpreter insight to be combined with modern computational capabilities. A successful 3D field data example demonstrates that this method could become an important tool for interactive interpretation tasks.

Hypocenter Relocation along the Sunda Arc in Indonesia, Using a 3D Seismic‐Velocity Model

2018 ◽  
Vol 89 (2A) ◽  
pp. 603-612 ◽  
Author(s):  
Andri D. Nugraha ◽  
Hasbi A. Shiddiqi ◽  
Sri Widiyantoro ◽  
Clifford H. Thurber ◽  
Jeremy D. Pesicek ◽  
...  
Keyword(s):  
Seismic Velocity ◽  
Velocity Model ◽  
3D Seismic ◽  
Sunda Arc ◽  
Hypocenter Relocation

scholarly journals A comprehensive 3D seismic velocity model for the eastern Taiwan-southernmost Ryukyu regions

2003 ◽  
Vol 14 (2) ◽  
pp. 159 ◽  
Author(s):  
Yvonne Font ◽  
Honn Kao ◽  
Char-Shine Liu ◽  
Ling-Yun Chiao
Keyword(s):  
Seismic Velocity ◽  
Velocity Model ◽  
3D Seismic

scholarly journals Updating Hypocenter Relocation in Indonesia using 3D Seismic Velocity Model: Period of April 2009-March 2018

2019 ◽  
Vol 318 ◽  
pp. 012048
Author(s):  
Andri Dian Nugraha ◽  
Shindy Rosalia ◽  
Sri Widiyantoro ◽  
Pepen Supendi ◽  
Samsul Wiyono ◽  
...  
Keyword(s):  
Seismic Velocity ◽  
Velocity Model ◽  
3D Seismic ◽  
Hypocenter Relocation

scholarly journals Habits of a glacier-covered volcano: seismicity patterns and velocity structure of Katla volcano, Iceland

2007 ◽  
Vol 45 ◽  
pp. 169-177 ◽  
Author(s):  
Kristín Jónsdóttir ◽  
Ari Tryggvason ◽  
Roland Roberts ◽  
Bjoörn Lund ◽  
Heidi Soosalu ◽  
...  
Keyword(s):  
Velocity Structure ◽  
Seismic Velocity ◽  
Low Frequency ◽  
Velocity Model ◽  
3D Seismic ◽  
Temporary Network ◽  
Volcano Seismicity ◽  
Annual Scale ◽  
Scale Data ◽  
Katla Volcano

AbstractThe Katla volcano, overlain by the Mýrdalsjökull glacier, is one of the most active and hazardous volcanoes in Iceland. Earthquakes show anomalous magnitude-frequency behaviour and mainly occur in two distinct areas: within the oval caldera and around Goðabunga, a bulge on its western flank. The seismicity differs between the areas; earthquakes in Goðabunga are low frequency and shallow whereas those beneath the caldera occur at greater depths and are volcano-tectonic. The seismicity shows seasonal variations but the rates peak at different times in the two areas. A snow budget model, which gives an estimate of the glacial loading, shows good correlation with seismic activity on an annual scale. Data recorded by the permanent network South Iceland Lowland (SIL), as well as by a temporary network, are used to invert for a 3D seismic velocity model underneath Eyjafjallajökull, Goðabunga and the Katla caldera. The tomography resolves a 15 km wide, aseismic, high-velocity structure at a depth of more than 4 km between the Eyjafjallajökull volcano in the west and the Katla volcano in the east. Anomalously low velocities are observed beneath the Katla caldera, which is interpreted as being a significantly fractured area of anomalously high temperature.

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