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Journal of Applied Remote Sensing

High-performance computing and visualization of earthquake simulations and ground-motion sensor network data
Author(s): Tung-Ju Hsieh; Shiann-Jong Lee; Yuan-Sen Yang; Yang-Lang Chang; Bormin Huang; Cheng-Kai Chen; Kwan-Liu Ma
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Paper 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.

Paper Details

Date Published: 3 April 2012
PDF: 16 pages
J. Appl. Rem. Sens. 6(1) 061501 doi: 10.1117/1.JRS.6.061501
Published in: Journal of Applied Remote Sensing Volume 6, Issue 1
Show Author Affiliations
Tung-Ju Hsieh, National Taipei Univ. of Technology (Taiwan)
Shiann-Jong Lee, Academia Sinica (Taiwan)
Yuan-Sen Yang, National Taipei Univ. of Technology (Taiwan)
Yang-Lang Chang, National Taipei Univ. of Technology (Taiwan)
Bormin Huang, Univ. of Wisconsin-Madison (United States)
Cheng-Kai Chen, Univ. of California, Davis (United States)
Kwan-Liu Ma, Univ. of California, Davis (United States)

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