Development of a Combination Approach for Seismic Hazard Evaluation

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• 作者：Huai-zhong Yu ; Fa-ren Zhou ; Qing-yong Zhu ; Xiao-tao Zhang…
• 关键词：Pattern informatics ; load/unload response ration ; state vector ; accelerating moment release ; seismic hazard
• 刊名：Pure and Applied Geophysics
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：173
• 期：1
• 页码：221-233
• 全文大小：3,964 KB
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• 作者单位：Huai-zhong Yu (1)
  Fa-ren Zhou (1)
  Qing-yong Zhu (1) (2)
  Xiao-tao Zhang (1)
  Yong-xian Zhang (1)
  
  1. China Earthquake Networks Center, Beijing, 100045, China
  2. School of Engineering, Sun Yat-sen University, Guangzhou, 510275, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Geophysics and Geodesy
  
• 出版者：Birkh盲user Basel
• ISSN：1420-9136

文摘

We developed a synth esis approach to augment current techniques for seismic hazard evaluation by combining four previously unrelated subjects: the pattern informatics (PI), load/unload response ratio (LURR), state vector (SV), and accelerating moment release (AMR) methods. Since the PI is proposed in the premise that the change in the seismicity rate is a proxy for the change in the tectonic stress, this method is used to quantify localized changes surrounding the epicenters of large earthquakes to objectively quantify the anomalous areas (hot spots) of the upcoming events. On the short-to-intermediate-term estimation, we apply the LURR, SV, and AMR methods to examine the hazard regions derived from the PI hot spots. A predictive study of the 2014 earthquake tendency in Chinese mainland, using the seismic data from 1970-01-01 to 2014-10-01, shows that, during Jan 01 to Oct 31, 2014, most of the M > 5.0 earthquakes, especially the Feb 12 M7.3 Yutian, May 30 M6.1 Yingjiang, Aug. 03 M6.5 Ludian, and Oct 07 M6.6 earthquakes, occurred in the seismic hazard regions predicted. Comparing the predictions produced by the PI and combination approaches, it is clear that, by using the combination approach, we can screen out the false-alarm regions from the PI estimation, without reducing the hit rate, and therefore effectively augment the predictive power of current techniques. This provided evidence that the multi-method combination approach may be a useful tool to detect precursory information of future large earthquakes.