Reply to “Comment on ‘The Relation between Ground Acceleration and Earthquake Source Parameters: Theory and Observations’ by Itzhak Lior and Alon Ziv” by J. Enrique Luco

2018 ◽  
Vol 108 (6) ◽  
pp. 3698-3698
Author(s):  
Itzhak Lior ◽  
Alon Ziv
Keyword(s):  
Source Parameters ◽  
Earthquake Source ◽  
Ground Acceleration ◽  
Earthquake Source Parameters

scholarly journals Strong ground motion simulation of the 27 May 2006 Yogyakarta earthquake using Empirical Green’s Function

2021 ◽  
Vol 873 (1) ◽  
pp. 012080
Author(s):  
Yeremia Hanniel ◽  
Ade Anggraini ◽  
Agus Riyanto ◽  
Drajat Ngadmanto ◽  
Wiwit Suryanto
Keyword(s):  
Green’S Function ◽  
Green's Function ◽  
Moment Tensor ◽  
Source Parameters ◽  
Maximum Amplitude ◽  
Earthquake Source ◽  
Ground Acceleration ◽  
Moment Tensor Solution ◽  
Earthquake Source Parameters ◽  
Strong Ground Motion Simulation

Abstract On May 27, 2006, 05:54 am local time, a moderate crustal earthquake of magnitude Mw 6,3 struck the Yogyakarta province, especially in the Bantul regency in the south part of the province. The earthquake damaged or destroyed more than 400,000 houses and buildings and caused more than 5,700 people killed. Several earthquake stations recorded the ground vibration caused by the mainshock very well, except at the stations closest to the earthquake source, namely YOGI in Gamping, West of Yogyakarta, which experienced saturation due to significant vibration. Therefore, information about the maximum ground acceleration near the source is yet not known. We model the ground vibrations near the earthquake source using a stochastic Green’s Function approach to obtain information about the ground motions’ maximum amplitude. The earthquake source parameters we referred to is the moment tensor solution from the Harvard Moment Tensor. The calculations show that the amplitude is consistent with observations recorded at the BJI Banjarnegara (0.04g) and YOGI Yogyakarta (0.3g).

scholarly journals Earthquake source parameters that display the first digit phenomenon

2015 ◽  
Vol 22 (5) ◽  
pp. 625-632
Author(s):  
P. A. Toledo ◽  
S. R. Riquelme ◽  
J. A. Campos
Keyword(s):  
Seismic Moment ◽  
Waiting Times ◽  
Source Parameters ◽  
Tohoku Earthquake ◽  
Earthquake Source ◽  
Coseismic Slip ◽  
Self Organized ◽  
Earthquake Source Parameters ◽  
Self Organized Criticality

Abstract. We study the main parameters of earthquakes from the perspective of the first digit phenomenon: the nonuniform probability of the lower first digit different from 0 compared to the higher ones. We found that source parameters like coseismic slip distributions at the fault and coseismic inland displacements show first digit anomaly. We also found the tsunami runups measured after the earthquake to display the phenomenon. Other parameters found to obey first digit anomaly are related to the aftershocks: we show that seismic moment liberation and seismic waiting times also display an anomaly. We explain this finding by invoking a self-organized criticality framework. We demonstrate that critically organized automata show the first digit signature and we interpret this as a possible explanation of the behavior of the studied parameters of the Tohoku earthquake.

Earthquake Source Parameters: Rapid Estimates for Tsunami Forecasts and Warnings

2021 ◽  
pp. 299-333
Author(s):  
Barry Hirshorn ◽  
Stuart Weinstein ◽  
Dailin Wang ◽  
Kanoa Koyanagi ◽  
Nathan Becker ◽  
...  
Keyword(s):  
Source Parameters ◽  
Earthquake Source ◽  
Earthquake Source Parameters

scholarly journals Tsunami hazard warning and risk prediction based on inaccurate earthquake source parameters

2016 ◽  
Vol 16 (2) ◽  
pp. 577-593 ◽  
Author(s):  
Katsuichiro Goda ◽  
Kamilla Abilova
Keyword(s):  
Risk Assessment ◽  
Early Stage ◽  
Source Parameters ◽  
Earthquake Source ◽  
Tsunami Early Warning ◽  
Earthquake Source Parameters ◽  
Tsunami Risk ◽  
Tsunami Warnings ◽  
Hazard Warning

Abstract. This study investigates the issues related to underestimation of the earthquake source parameters in the context of tsunami early warning and tsunami risk assessment. The magnitude of a very large event may be underestimated significantly during the early stage of the disaster, resulting in the issuance of incorrect tsunami warnings. Tsunamigenic events in the Tohoku region of Japan, where the 2011 tsunami occurred, are focused on as a case study to illustrate the significance of the problems. The effects of biases in the estimated earthquake magnitude on tsunami loss are investigated using a rigorous probabilistic tsunami loss calculation tool that can be applied to a range of earthquake magnitudes by accounting for uncertainties of earthquake source parameters (e.g., geometry, mean slip, and spatial slip distribution). The quantitative tsunami loss results provide valuable insights regarding the importance of deriving accurate seismic information as well as the potential biases of the anticipated tsunami consequences. Finally, the usefulness of rigorous tsunami risk assessment is discussed in defining critical hazard scenarios based on the potential consequences due to tsunami disasters.

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