scholarly journals Bounding the Moment Deficit Rate on Crustal Faults Using Geodetic Data: Application to Southern California

2018 ◽  
Author(s):  
Jeremy Maurer ◽  
Kaj Johnson ◽  
Paul Segall
Keyword(s):  
Southern California ◽  
Geodetic Data ◽  
Data Application ◽  
The Moment

scholarly journals Extremal bounds on earthquake movement from geodetic data: Application to the Landers earthquake

1994 ◽  
Vol 84 (3) ◽  
pp. 660-667 ◽  
Author(s):  
Hadley O. Johnson ◽  
Duncan Carr Agnew ◽  
Ken Hudnut
Keyword(s):  
Geodetic Data ◽  
Fault Geometry ◽  
Surface Rupture ◽  
Field Mapping ◽  
Landers Earthquake ◽  
Level Of Confidence ◽  
Data Application ◽  
The Moment ◽  
1992 Landers Earthquake ◽  
Good Agreement

Abstract We present a technique to place quantifiable bounds on the moment of an earthquake from geodetic data, assuming known fault geometry. Application of this technique to the 1992 Landers earthquake shows that the moment must have been between 0.84 and 1.15 × 1020 Nm with 90% confidence (M 7.25 to 7.34). We also find that to satisfy the data to this same level of confidence, the slip on the fault must have exceeded 7 m in at least one location, in good agreement with field mapping of the surface rupture.

scholarly journals Scientists Scramble to Collect Data After Ridgecrest Earthquakes

Eos ◽  
2019 ◽  
Vol 100 ◽  
Author(s):  
Katherine Kornei
Keyword(s):  
Southern California ◽  
Geodetic Data ◽  
Ground Shaking

Ground shaking in Southern California, including a magnitude 7.1 temblor, triggered a massive mobilization effort to collect seismological, geological, and geodetic data.

scholarly journals Time-Independent Forecast Model For Large Crustal Earthquakes in Southwest Japan Using GNSS Data

2021 ◽  
Author(s):  
Takuya Nishimura
Keyword(s):  
Strain Rate ◽  
Seismic Moment ◽  
Forecast Model ◽  
Geodetic Data ◽  
Predictive Skill ◽  
Crustal Earthquakes ◽  
Geodetic Strain Rate ◽  
Likelihood Model ◽  
The Moment ◽  
Geodetic Strain

Abstract In this study, we developed a regional likelihood model for crustal earthquakes using geodetic strain rate data from southwest Japan. First, smoothed strain rate distributions were estimated from continuous GNSS measurements. Second, we removed the elastic strain rate attributed to interplate coupling on the subducting plate boundary, including the observed strain rate, under the assumption that it is not attributed to permanent loading on crustal faults. We then converted the geodetic strain rates to seismic moment rates and calculated the 30-year probability for M ≥ 6 earthquakes in 0.2 × 0.2° cells, using a truncated Gutenberg–Richter law and time-independent Poisson process. Likelihood models developed using different conversion equations, seismogenic thicknesses, and rigidities were validated using the epicenters and moment distribution of historical earthquakes. The average seismic moment rate of crustal earthquakes recorded during 1583–2020 was only 13–20 % of the seismic moment rate converted from the geodetic data, which suggests that the observed geodetic strain rate includes considerable inelastic strain. Therefore, we introduced an empirical coefficient to calibrate the moment rate converted from geodetic data with the moment rate of the earthquakes. Several statistical scores and the Molchan diagram showed that all models could predict real earthquakes better than the reference model, in which earthquakes occur uniformly in space. Models using principal horizontal strain rates exhibited better predictive skill than those using the maximum horizontal shear strain rate. There was no significant difference in the predictive skill between uniform and variable distributions for seismogenic thickness and rigidity. The preferred models suggested high 30-year-probability in the Niigata–Kobe Tectonic Zone and central Kyushu, exceeding 1% in more than half of the analyzed region. Model predictive skill was also verified by a prospective test using earthquakes recorded during 2010–2020. This study suggests that the proposed forecast model based on geodetic data can improve the regional likelihood model for crustal earthquakes in Japan in combination with other forecast models based on active faults and seismicity.

scholarly journals Bounding the moment deficit rate on crustal faults using geodetic data: Methods

2017 ◽  
Vol 122 (8) ◽  
pp. 6811-6835 ◽  
Author(s):  
Jeremy Maurer ◽  
Paul Segall ◽  
Andrew M. Bradley
Keyword(s):  
Geodetic Data ◽  
The Moment
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