2017
DOI: 10.1007/s00024-017-1630-y
|View full text |Cite
|
Sign up to set email alerts
|

Method to Determine Appropriate Source Models of Large Earthquakes Including Tsunami Earthquakes for Tsunami Early Warning in Central America

Abstract: Abstract-Large earthquakes, such as the Mw 7.7 1992 Nicaragua earthquake, have occurred off the Pacific coasts of El Salvador and Nicaragua in Central America and have generated distractive tsunamis along these coasts. It is necessary to determine appropriate fault models before large tsunamis hit the coast. In this study, first, fault parameters were estimated from the W-phase inversion, and then an appropriate fault model was determined from the fault parameters and scaling relationships with a depth depende… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
11
0
2

Year Published

2017
2017
2024
2024

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 15 publications
(15 citation statements)
references
References 18 publications
2
11
0
2
Order By: Relevance
“…The single-fault model is parameterized by fault length, fault width, fault depth, slip amount, horizontal location, strike, dip, and rake. When the fault length and width are unknown, as is often the case in an immediate analysis soon after an earthquake occurrence, they are determined by a scaling law from the earthquake magnitude (e.g., Tanioka et al 2017). In this study, we used the scaling law proposed by Utsu (2001): where S = LW is the fault area (km 2 ), based on fault length L and fault width W, and M w is the moment magnitude.…”
Section: Single-fault Modelmentioning
confidence: 99%
“…The single-fault model is parameterized by fault length, fault width, fault depth, slip amount, horizontal location, strike, dip, and rake. When the fault length and width are unknown, as is often the case in an immediate analysis soon after an earthquake occurrence, they are determined by a scaling law from the earthquake magnitude (e.g., Tanioka et al 2017). In this study, we used the scaling law proposed by Utsu (2001): where S = LW is the fault area (km 2 ), based on fault length L and fault width W, and M w is the moment magnitude.…”
Section: Single-fault Modelmentioning
confidence: 99%
“…This has been an important issue in Indonesia since the 2010 Mentawai tsunami earthquake. Tanioka et al (2017) recently developed a method combining the W-phase inversion and scaling relationship with a depth-dependent rigidity to estimate an appropriate source model for large earthquakes, including tsunami earthquakes, in Central America.…”
Section: Introductionmentioning
confidence: 99%
“…The 2010 Mentawai tsunami earthquake that occurred off the west coast of Sumatra had similar characteristics as those of the 1992 Nicaragua tsunami earthquake. In this study, we estimate appropriate rigidities, such as the depth-dependent rigidity used by Tanioka et al (2017), to determine appropriate source models for tsunami height estimations of the 2007 Bengkulu earthquake (M w 8.4) and the 2010 Mentawai tsunami earthquake (M w 7.8). Additionally, we determine the depth-dependent rigidity relation for Central Sumatra in our tsunami height forecasting method.…”
Section: Introductionmentioning
confidence: 99%
“…Setiyono et al (2017) develop a new pre-computed inundation forecast system, Near-TIF, and demonstrate its application at Pelabuhan Ratu on the southern coast of Java, Indonesia. In order to obtain accurate information of the earthquake source for warning purposes, Tanioka et al (2017) first perform a W-phase inversion using seismological data and obtain other parameters important for tsunami generation using scaling relationships and depth-dependent rigidity evident in subduction zones. The authors demonstrate this method as part of a conceptual tsunami early warning for Central America.…”
Section: Tsunami Warning and Forecastingmentioning
confidence: 99%