REGARD: A new GNSS-based real-time finite fault modeling system for GEONET

2017 ◽  
Vol 122 (2) ◽  
pp. 1324-1349 ◽  
Author(s):  
Satoshi Kawamoto ◽  
Yusaku Ohta ◽  
Yohei Hiyama ◽  
Masaru Todoriki ◽  
Takuya Nishimura ◽  
...  
Keyword(s):  
Real Time ◽  
Fault Modeling ◽  
Finite Fault

scholarly journals Real-time inversion of GPS data for finite fault modeling and rapid hazard assessment

2012 ◽  
Vol 39 (9) ◽  
pp. n/a-n/a ◽  
Author(s):  
Brendan W. Crowell ◽  
Yehuda Bock ◽  
Diego Melgar
Keyword(s):  
Real Time ◽  
Hazard Assessment ◽  
Fault Modeling ◽  
Gps Data ◽  
Time Inversion ◽  
Finite Fault

scholarly journals Speeding up tsunami forecasting to boost tsunami warning in Chile

2019 ◽  
Vol 19 (6) ◽  
pp. 1297-1304
Author(s):  
Mauricio Fuentes ◽  
Sebastian Arriola ◽  
Sebastian Riquelme ◽  
Bertrand Delouis
Keyword(s):  
Real Time ◽  
Near Field ◽  
Linear Method ◽  
Fault Modeling ◽  
Slip Distribution ◽  
Processing Scheme ◽  
Tsunami Forecasting ◽  
Finite Fault ◽  
Run Up ◽  
Tsunami Scenarios

Abstract. Despite the occurrence of several large earthquakes during the last decade, Chile continues to have a great tsunamigenic potential. This arises as a consequence of the large amount of strain accumulated along a subduction zone that runs parallel to its long coast, and a distance from the trench to the coast of no more than 100 km. These conditions make it difficult to implement real-time tsunami forecasting. Chile issues local tsunami warnings based on preliminary estimations of the hypocenter location and magnitude of the seismic sources, combined with a database of pre-computed tsunami scenarios. Finite fault modeling, however, does not provide an estimation of the slip distribution before the first tsunami wave arrival, so all pre-computed tsunami scenarios assume a uniform slip distribution. We implemented a processing scheme that minimizes this time gap by assuming an elliptical slip distribution, thereby not having to wait for the more time-consuming finite fault model computations.We then solve the linear shallow water equations to obtain a rapid estimation of the run-up distribution in the near field. Our results show that, at a certain water depth, our linear method captures most of the complexity of the run-up heights in terms of shape and amplitude when compared with a fully nonlinear tsunami model. In addition, we can estimate the run-up distribution in quasi-real-time as soon as the results of seismic finite fault modeling become available.

scholarly journals Real-time inversions for finite fault slip models and rupture geometry based on high-rate GPS data

2014 ◽  
Vol 119 (4) ◽  
pp. 3201-3231 ◽  
Author(s):  
S. E. Minson ◽  
Jessica R. Murray ◽  
John O. Langbein ◽  
Joan S. Gomberg
Keyword(s):  
Real Time ◽  
Fault Slip ◽  
High Rate ◽  
Gps Data ◽  
Finite Fault

scholarly journals Real-time Finite Fault Rupture Detector (FinDer) for large earthquakes

2012 ◽  
Vol 191 (2) ◽  
pp. 803-812 ◽  
Author(s):  
Maren Böse ◽  
Thomas H. Heaton ◽  
Egill Hauksson
Keyword(s):  
Real Time ◽  
Fault Rupture ◽  
Finite Fault ◽  
Large Earthquakes

Rapid Estimation of Source Parameters Using Finite Fault Modeling--Case Studies from the Sikkim and Garhwal Himalayas

2009 ◽  
Vol 80 (1) ◽  
pp. 89-96 ◽  
Author(s):  
A. Raj ◽  
S. K. Nath ◽  
B. K. Bansal ◽  
K. K. S. Thingbaijam ◽  
A. Kumar ◽  
...  
Keyword(s):  
Case Studies ◽  
Source Parameters ◽  
Fault Modeling ◽  
Rapid Estimation ◽  
Garhwal Himalayas ◽  
Finite Fault

Operational Capabilities during Crisis: The Chilean Seismographic Network

2020 ◽  
Vol 92 (1) ◽  
pp. 119-126 ◽  
Author(s):  
Sergio Eduardo Barrientos ◽  
Sebastian Riquelme ◽  
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Emergency Services ◽  
Negative Impact ◽  
Fault Modeling ◽  
Capital City ◽  
Timely Manner ◽  
Operational Capabilities ◽  
Finite Fault ◽  
Maintenance Work ◽  
Seismographic Network

Abstract The severe mobility restrictions imposed countrywide by authorities of Chile in response to the pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have impacted all areas of activities. Major difficulties began in March 2020, with partial quarantines in the capital city, which later extended to other cities in the country, and it soon transformed in total confinement. We examine the evolution of the pandemic and its consequences on the field and headquarters operations of the National Seismological Centre (CSN), as remote stations could not be visited to carry out maintenance work. Several indicators, as a function of time, such as station operability percentage, timely reports, and ability to deliver requested information, reveal some negative impact on the uptime of stations but not in the capability of the CSN to fulfill its mission, which is to deliver timely seismic information to emergency services. The largest event in the country within this period took place on 3 June 2020, activating in a timely manner, the new tools on finite-fault modeling being developed within the center.

scholarly journals Speeding up and boosting tsunami warning in Chile

2019 ◽  
Author(s):  
Mauricio Fuentes ◽  
Sebastian Arriola ◽  
Sebastian Riquelme ◽  
Bertrand Delouis
Keyword(s):  
Real Time ◽  
Near Field ◽  
Linear Method ◽  
Seismic Energy ◽  
Fault Model ◽  
Tsunami Forecast ◽  
Finite Fault ◽  
Run Up ◽  
Finite Fault Model ◽  
Chile Tsunami

Abstract. Chile host a great tsunamigenic potential along its coast, even with the large earthquakes occurred during the last decade, there is still a large amount of seismic energy to release. This permanent feature and the fact that the distance between the trench and the coast is just 100 km creates a difficult environment to do real time tsunami forecast. In Chile tsunami warnings are based on reports of the seismic events (hypocenter and magnitude) and a database of precomputed tsunami scenarios. However, because yet there is no answer to image the finite fault model within first minutes (before the first tsunami wave arrival), the precomputed scenarios consider uniform slip distributions. Here, we propose a scheme of processes to fill the gaps in-between blind zones due to waiting of demanding computational stages. The linear shallow water equations are solved to obtain a rapid estimation of the run-up distribution in the near field. Our results show that this linear method captures most of the complexity of the run-up heights in terms of shape and amplitude when compared with a fully non-linear tsunami code. Also, the run-up distribution is obtained in quasi real-time as soon as the seismic finite fault model is produced.

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