Special Section on High-Performance Computing in Applied Remote Sensing: Part 2

High-performance computing and visualization of earthquake simulations and ground-motion sensor network data

[+] Author Affiliations
Tung-Ju Hsieh

National Taipei University of Technology, Department of Computer Science and Information Engineering, Taiwan

Shiann-Jong Lee

Institute of Earth Sciences, Academia Sinica, Taiwan

Yuan-Sen Yang

National Taipei University of Technology, Department of Civil Engineering, Taiwan

Yang-Lang Chang

National Taipei University of Technology, Department of Electrical Engineering, Taiwan

Bormin Huang

University of Wisconsin-Madison, Space Science and Engineering Center, Madison, Wisconsin 53706

Cheng-Kai Chen, Kwan-Liu Ma

University of California, Davis, Department of Computer Science, Davis, California 95616

J. Appl. Remote Sens. 6(1), 061501 (Apr 03, 2012). doi:10.1117/1.JRS.6.061501
History: Received August 30, 2011; Revised December 20, 2011; Accepted January 4, 2012
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Abstract.  Comparing numerical simulation results with accelerograph readings is essential in earthquake investigations and discoveries. We provide a case study on the magnitude 7.6 Taiwan Chi-Chi earthquake in 1999. More than 400 seismic sensor stations recorded this event, and the readings from this event increased global strong-motion records fivefold so that the accuracy of the earthquake simulation was enhanced significantly. Direct volume rendering is used to depict the space-time relationships of numerical results and seismic readings. When earthquake simulation data are volume rendered, it reveals the sequence of seismic wave initiation, propagation, attenuation, and energy releasing events of fault ruptures so that the direction of seismic wave propagation can be observed. Both accelerograph readings and earthquake simulation data are used to generate a sequence of ground-motion maps. Stacking these maps up in sequence forms a volume data. Visual analysis of the time-varying component reveals hidden features for better comparison and evaluation. Earthquake scientists are able to obtain insights and evaluate their simulation criteria from volume rendering.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Tung-Ju Hsieh ; Shiann-Jong Lee ; Yuan-Sen Yang ; Yang-Lang Chang ; Bormin Huang, et al.
"High-performance computing and visualization of earthquake simulations and ground-motion sensor network data", J. Appl. Remote Sens. 6(1), 061501 (Apr 03, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.061501


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