Surface Rupture Effects on Earthquake Moment-Area Scaling Relations

2017 ◽  
pp. 7-18
Author(s):  
Yingdi Luo ◽  
Jean-Paul Ampuero ◽  
Ken Miyakoshi ◽  
Kojiro Irikura
Keyword(s):  
Scaling Relations ◽  
Surface Rupture ◽  
Earthquake Moment

Surface Rupture Effects on Earthquake Moment-Area Scaling Relations

2017 ◽  
Vol 174 (9) ◽  
pp. 3331-3342 ◽  
Author(s):  
Yingdi Luo ◽  
Jean-Paul Ampuero ◽  
Ken Miyakoshi ◽  
Kojiro Irikura
Keyword(s):  
Scaling Relations ◽  
Surface Rupture ◽  
Earthquake Moment

scholarly journals Correction to: Surface Rupture Effects on Earthquake Moment-Area Scaling Relations

2017 ◽  
Vol 175 (3) ◽  
pp. 1219-1219
Author(s):  
Yingdi Luo ◽  
Jean-Paul Ampuero ◽  
Ken Miyakoshi ◽  
Kojiro Irikura
Keyword(s):  
Scaling Relations ◽  
Surface Rupture ◽  
Earthquake Moment

SURFACE RUPTURE FROM THE 9 AUGUST 2020, MW 5.1 SPARTA, NORTH CAROLINA EARTHQUAKE AND CONNECTIONS WITH BEDROCK GEOLOGY

2020 ◽  
Author(s):  
Arthur J. Merschat ◽  
◽  
Mark W. Carter ◽  
Corey M. Scheip ◽  
Richard M. Wooten ◽  
...  
Keyword(s):  
North Carolina ◽  
Surface Rupture ◽  
Bedrock Geology

FAULT SLIP DISTRIBUTION ALONG THE SOUTHERN 15 KM OF THE M7.1 RIDGECREST EARTHQUAKE SURFACE RUPTURE

2020 ◽  
Author(s):  
Sinan O. Akciz ◽  
◽  
Salena Padilla ◽  
James F. Dolan ◽  
Alex E. Hatem
Keyword(s):  
Fault Slip ◽  
Slip Distribution ◽  
Surface Rupture ◽  
Fault Slip Distribution

3D sandbox and numerical modeling of coseismic surface rupture induced by oblique-slip faulting and its interaction with embedded shallow foundation

2021 ◽  
pp. 105990
Author(s):  
Chun-Yuan Liu ◽  
Chien-Hung Li ◽  
Pei-Chen Chan ◽  
Chien-Hui Hung ◽  
Ming-Lang Lin
Keyword(s):  
Numerical Modeling ◽  
Shallow Foundation ◽  
Surface Rupture

scholarly journals Performance Evaluation of Different SAR-Based Techniques on the 2019 Ridgecrest Sequence

2021 ◽  
Vol 13 (4) ◽  
pp. 685
Author(s):  
Marco Polcari ◽  
Mimmo Palano ◽  
Marco Moro
Keyword(s):  
Performance Evaluation ◽  
Strike Slip ◽  
Seismic Sequence ◽  
Fault Rupture ◽  
Coseismic Displacement ◽  
Surface Rupture ◽  
Eastern California Shear Zone ◽  
Tectonic Framework ◽  
Gnss Network ◽  
The One

We evaluated the performances of different SAR-based techniques by analyzing the surface coseismic displacement related to the 2019 Ridgecrest seismic sequence (an Mw 6.4 foreshock on July 4th and an Mw 7.1 mainshock on July 6th) in the tectonic framework of the eastern California shear zone (Southern California, USA). To this end, we compared and validated the retrieved SAR-based coseismic displacement with the one estimated by a dense GNSS network, extensively covering the study area. All the SAR-based techniques constrained the surface fault rupture well; however, in comparison with the GNSS-based coseismic displacement, some significant differences were observed. InSAR data showed better performance than MAI and POT data by factors of about two and three, respectively, therefore confirming that InSAR is the most consolidated technique to map surface coseismic displacements. However, MAI and POT data made it possible to better constrain the azimuth displacement and to retrieve the surface rupture trace. Therefore, for cases of strike-slip earthquakes, all the techniques should be exploited to achieve a full synoptic view of the coseismic displacement field.

scholarly journals The merger-driven evolution of massive early-type galaxies

2020 ◽  
Vol 15 (S359) ◽  
pp. 62-66
Author(s):  
Carlo Cannarozzo ◽  
Carlo Nipoti ◽  
Alessandro Sonnenfeld ◽  
Alexie Leauthaud ◽  
Song Huang ◽  
...  
Keyword(s):  
Mass Velocity ◽  
Selection Criteria ◽  
Velocity Dispersion ◽  
Ex Situ ◽  
Scaling Relations ◽  
Early Type ◽  
History Of ◽  
Kinematic Properties ◽  
Shed Light

AbstractThe evolution of the structural and kinematic properties of early-type galaxies (ETGs), their scaling relations, as well as their stellar metallicity and age contain precious information on the assembly history of these systems. We present results on the evolution of the stellar mass-velocity dispersion relation of ETGs, focusing in particular on the effects of some selection criteria used to define ETGs. We also try to shed light on the role that in-situ and ex-situ stellar populations have in massive ETGs, providing a possible explanation of the observed metallicity distributions.

scholarly journals Testing the star formation scaling relations in the clumps of the North American and Pelican nebulae cloud complex

2020 ◽  
Vol 500 (3) ◽  
pp. 3123-3141
Author(s):  
Swagat R Das ◽  
Jessy Jose ◽  
Manash R Samal ◽  
Shaobo Zhang ◽  
Neelam Panwar
Keyword(s):  
Star Formation ◽  
Surface Density ◽  
Star Formation Rate ◽  
Formation Rate ◽  
Free Fall ◽  
Scaling Relations ◽  
Time Model ◽  
Fall Time ◽  
The North ◽  
Crossing Time

ABSTRACT The processes that regulate star formation within molecular clouds are still not well understood. Various star formation scaling relations have been proposed as an explanation, one of which is to formulate a relation between the star formation rate surface density $\rm \Sigma _{SFR}$ and the underlying gas surface density $\rm \Sigma _{gas}$. In this work, we test various star formation scaling relations, such as the Kennicutt–Schmidt relation, the volumetric star formation relation, the orbital time model, the crossing time model and the multi free-fall time-scale model, towards the North American Nebula and Pelican Nebula and in the cold clumps associated with them. Measuring stellar mass from young stellar objects and gaseous mass from CO measurements, we estimate the mean $\rm \Sigma _{SFR}$, the star formation rate per free-fall time and the star formation efficiency for clumps to be 1.5 $\rm M_{\odot}\, yr^{-1}\, kpc^{-2}$, 0.009 and 2.0 per cent, respectively, while for the whole region covered by both nebulae (which we call the ‘NAN’ complex) the values are 0.6 $\rm M_{\odot}\, yr^{-1}\, kpc^{-2}$, 0.0003 and 1.6 per cent, respectively. For the clumps, we notice that the observed properties are in line with the correlation obtained between $\rm \Sigma _{SFR}$ and $\rm \Sigma _{gas}$, and between $\rm \Sigma _{SFR}$ and $\rm \Sigma _{gas}$ per free-fall time and orbital time for Galactic clouds. At the same time, we do not observe any correlation with $\rm \Sigma _{gas}$ per crossing time and multi free-fall time. Even though we see correlations in the former cases, however, all models agree with each other within a factor of 0.5 dex. It is not possible to discriminate between these models because of the current uncertainties in the input observables. We also test the variation of $\rm \Sigma _{SFR}$ with the dense gas but, because of low statistics, a weak correlation is seen in our analysis.

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