Rapid Derivation of Rupture History for Large Earthquakes

Mendoza, Carlos

doi:10.1785/gssrl.67.6.19

Cited by 20 publications

(13 citation statements)

References 13 publications

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“…It was proposed that no shallow earthquakes occur because the low rigidity sediments in the accretionary wedge cannot store any appreciable shear stress [Fukao, 1979]. In agreement with this, the depth of the earthquake hypocenter was found to be not less than Although the procedure described here utilized an EGF which occured the following day it should be possible to perform this analysis rapidly given a library of EGF events collected for possible source regions or to use theoretical Green's functions as discussed by Mendoza [1996].…”

Section: Discussionsupporting

confidence: 59%

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Source process of the 21 April, 1997 Santa Cruz Island Earthquake (M_w 7.8)

Kaverina¹,

Dreger²,

Antolik³

1998

Geophysical Research Letters

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Abstract. We apply an Empirical Green's function method to recordings of teleseismic body waves from the April 21, 1997 Santa Cruz Island earthquake. The far-field moment rate functions reveal that rupture occured on a shallow dipping fault plane (dip 17ø). The main rupture consists of 6 large subevents and covers a total area of about 5000 km 2.While the hypocenter is fixed at 33 km depth, the main slip is located above 20 km depth within the accretionary wedge. The source duration is about 70 sec and the average rupture velocity is found to be 1.9 km/sec. This event caused a local tsunami and although it is not possible to determine whether it was caused by tectonic faulting or submarine shaking the fact that most of the moment release occured at shallow depths is consistent with either of these possibilities, and points to the utility of the procedure outlined here in possible rapid characterization of tsunami potential.

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Section: Discussionsupporting

confidence: 59%

“…With these data it is ,possible to obtain detailed source characteristics such as rupthre velocity and slip distribution that are essential for better assessment of the potential tsunami hazard. As discussed by Mendoza [1996] it should be possible to perform these calculations rapidly given the real-time telemetered global networks.…”

Section: Introductionmentioning

confidence: 99%

Source process of the 21 April, 1997 Santa Cruz Island Earthquake (M_w 7.8)

Kaverina¹,

Dreger²,

Antolik³

1998

Geophysical Research Letters

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“…We have explored the use of an inverse technique that is a variant of that used by MENDOZA (1996) to perform waveform inversions to better characterize the earthquake source. This method is one of a class of inversion methods HEATON, 1983, 1986;HARTZELL and MENDOZA, 1991;WALD and HEATON, 1994) in which the waveform inverse problem is solved by forming a matrix of Green's functions that is then inverted for the rupture history.…”

Section: Methodsmentioning

confidence: 99%

“…Our computational method draws its design from MENDOZA (1996), and uses P-wave data obtained from vertical component broadband waveforms. Using P waves allows the calculation to proceed sooner as opposed to using S or surface waves, for which we may need to wait 10-30 minutes or more to accumulate enough data to invert.…”

Section: Methodsmentioning

confidence: 99%

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Finite Fault Modeling in a Tsunami Warning Center Context

Weinstein

Lundgren

2008

Pure appl. geophys.

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The US NOAA/NWS tsunami warning centers have relied on earthquake location and depth, and scalar measures of earthquake size and slowness to assess the potential for the generation of a destructive tsunami by an earthquake. Recent earthquakes, such as Peru 2001, Sumatra 2004 and the Java 2006, manifest some of the difficulties the warning centers face as they try to cope with unusual earthquakes. We have undertaken a study of a simple teleseismic waveform inverse model and applied it to the earthquakes of June 23, 2001 in Peru and of July 17, 2006 in Java. Synthetic numerical experiments suggest that the most salient features of the rupture history of an earthquake can be recovered. Furthermore the calculations can be conducted quickly enough to be useful in a warning center context.We have applied our technique to the Peru 2001 and recent Java 2006 earthquakes. Our overall results are consistent with those obtained from other studies. The results show why the Peru event initially looked slow to the US tsunami warning centers and that the Java event is a truly slow or tsunami earthquake. Clearly, the warning centers stand to benefit from an increased understanding of the earthquakes they monitor. Furthermore, better knowledge of the slip distribution along a fault will improve tsunami wave-height forecasts.

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