Time-Dependent Seismic Hazard Assessment

2020 ◽  
pp. 1-3
Author(s):  
Zhongliang Wu
Keyword(s):  
Seismic Hazard ◽  
Hazard Assessment ◽  
Seismic Hazard Assessment ◽  
Time Dependent

scholarly journals Real-time probabilistic seismic hazard assessment based on seismicity anomaly

2020 ◽  
Vol 20 (3) ◽  
pp. 743-753
Author(s):  
Yu-Sheng Sun ◽  
Hsien-Chi Li ◽  
Ling-Yun Chang ◽  
Zheng-Kai Ye ◽  
Chien-Chih Chen
Keyword(s):  
Seismic Hazard ◽  
Real Time ◽  
Hazard Assessment ◽  
Seismic Hazard Assessment ◽  
Seismic Source ◽  
Seismic Intensity ◽  
Time Dependent ◽  
Occurrence Rate ◽  
Probabilistic Seismic Hazard Assessment ◽  
Probabilistic Seismic Hazard

Abstract. Real-time probabilistic seismic hazard assessment (PSHA) was developed in this study in consideration of its practicability for daily life and the rate of seismic activity with time. Real-time PSHA follows the traditional PSHA framework, but the statistic occurrence rate is substituted by time-dependent seismic source probability. Over the last decade, the pattern informatics (PI) method has been developed as a time-dependent probability model of seismic source. We employed this method as a function of time-dependent seismic source probability, and we selected two major earthquakes in Taiwan as examples to explore real-time PSHA. These are the Meinong earthquake (ML 6.6) of 5 February 2016 and the Hualien earthquake (ML 6.2) of 6 February 2018. The seismic intensity maps produced by the real-time PSHA method facilitated the forecast of the maximum expected seismic intensity for the following 90 d. Compared with real ground motion data from the P-alert network, our seismic intensity forecasting maps showed considerable effectiveness. This result indicated that real-time PSHA is practicable and provides useful information that could be employed in the prevention of earthquake disasters.

scholarly journals Time-dependent probabilistic seismic hazard assessment and its application to Hualien City, Taiwan

2013 ◽  
Vol 13 (5) ◽  
pp. 1143-1158 ◽  
Author(s):  
C.-H. Chan ◽  
Y.-M. Wu ◽  
C.-T. Cheng ◽  
P.-S. Lin ◽  
Y.-C. Wu
Keyword(s):  
Seismic Hazard ◽  
Hazard Assessment ◽  
Seismic Hazard Assessment ◽  
Seismic Hazards ◽  
Time Dependent ◽  
Probabilistic Seismic Hazard Assessment ◽  
Probabilistic Seismic Hazard ◽  
Short Term ◽  
Seismicity Rate

Abstract. Here, we propose a time-dependent probabilistic seismic hazard assessment and apply it to Hualien City, Taiwan. A declustering catalog from 1940 to 2005 was used to build up a long-term seismicity rate model using a smoothing Kernel function. We also evaluated short-term seismicity rate perturbations according to the rate-and-state friction model, and the Coulomb stress changes imparted by earthquakes from 2006 to 2010. We assessed both long-term and short-term probabilistic seismic hazards by considering ground motion prediction equations for crustal and subduction earthquakes. The long-term seismic hazard in Hualien City gave a PGA (peak ground acceleration) of 0.46 g for the 2.1‰ annual exceedance probability. The result is similar to the levels determined in previous studies. Seismic hazards were significantly elevated following the 2007 ML =5.8 earthquake that occurred approximately 10 km from Hualien City. This work presents an assessment of a suitable mechanism for time-dependent probabilistic seismic hazard determinations using an updated earthquake catalog. Using minor model assumptions, our approach provides a suitable basis for rapid re-evaluations and will benefit decision-makers and public officials regarding seismic hazard mitigation.

Complexity and Time-Dependent Seismic Hazard Assessment

2018 ◽  
pp. 323-364
Author(s):  
Costas B. Papazachos ◽  
Domenikos A. Vamvakaris ◽  
George F. Karakaisis ◽  
Christos A. Papaioannou ◽  
Emmanuel M. Scordilis ◽  
...  
Keyword(s):  
Seismic Hazard ◽  
Hazard Assessment ◽  
Seismic Hazard Assessment ◽  
Time Dependent

scholarly journals Real-time probabilistic seismic hazard assessment based on seismicity anomaly

2019 ◽  
Author(s):  
Yu-Sheng Sun ◽  
Hsien-Chi Li ◽  
Ling-Yun Chang ◽  
Zheng-Kai Ye ◽  
Chien-Chih Chen
Keyword(s):  
Seismic Hazard ◽  
Real Time ◽  
Hazard Assessment ◽  
Seismic Hazard Assessment ◽  
Seismic Source ◽  
Seismic Intensity ◽  
Time Dependent ◽  
Probabilistic Seismic Hazard Assessment ◽  
Probabilistic Seismic Hazard ◽  
The Real

Abstract. The real-time Probabilistic Seismic Hazard Assessment (PSHA) is developed for considering the practicability for daily life and the rate of seismic activity with time. The real-time PSHA follows the traditional PSHA framework, but the statistic occurrence rate is substituted by time-dependent seismic source probability. Pattern Informatics method (PI) is a proper time-dependent probability model of seismic source, which have been developed over a decade. Therefore, in this research, we chose the PI method as the function of time-dependent seismic source probability and selected two big earthquakes in Taiwan, the 2016/02/05, Meinong earthquake (ML 6.6) and the 2018/02/06, Hualien earthquake (ML 6.2), as examples for the real-time PSHA. The forecasting seismic intensity maps produced by the real-time PSHA present the maximum seismic intensity for the next 90 days. Compared to real ground motion data from the P-alert network, these forecasting seismic intensity maps have considerable effectiveness in forecasting. It indicates that the real-time PSHA is practicable and can provide a useful information for the prevention of earthquake disasters.

The SISMA prototype system: integrating Geophysical Modeling and Earth Observation for time-dependent seismic hazard assessment

2011 ◽  
Vol 69 (2) ◽  
pp. 1179-1198 ◽  
Author(s):  
G. F. Panza ◽  
A. Peresan ◽  
A. Magrin ◽  
F. Vaccari ◽  
R. Sabadini ◽  
...  
Keyword(s):  
Seismic Hazard ◽  
Hazard Assessment ◽  
Seismic Hazard Assessment ◽  
Earth Observation ◽  
Time Dependent ◽  
Prototype System ◽  
Geophysical Modeling
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