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Volume 38 Issue 3
Mar.  2013
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LU Zhiyue, F.Benjamin ZHAN, E Dongchen. Probability Estimation of Future Earthquakes in China Based on Improved PSHA Model[J]. Geomatics and Information Science of Wuhan University, 2013, 38(3): 349-352.
Citation: LU Zhiyue, F.Benjamin ZHAN, E Dongchen. Probability Estimation of Future Earthquakes in China Based on Improved PSHA Model[J]. Geomatics and Information Science of Wuhan University, 2013, 38(3): 349-352.

Probability Estimation of Future Earthquakes in China Based on Improved PSHA Model

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  • Author Bio:

    LU Zhiyue, Ph.D candidate, majors in GIS.Email: zhiyuelu283@hotmail.com

  • Received Date: 2012-12-16
  • Publish Date: 2013-03-05
  • Considering the importance of PSHA model in earthquakes forecasting, by using the catalog in the 200 years in China, we tried to improve the original PSHA model with combining seismic energy distribution model, and computed the probability of earthquakes in a specific area in China with time\|span T based on both the improved PSHA model and the original model. Finally the experimental results show that the improved model is more efficiency and reliable than the original one.
  • [1] Frankel A. Mapping Seismic Hazard in the Central and Eastern United States[J]. Seismol Res Lett, 1995,66(4): 8\|21
    [2] Cornell C A. Engineering Seismic Risk Analysis[J]. Bull Seismol Soc Am, 1968,58:1 583\|1 696
    [3] 秦长源. 地震震级误差对b值的影响[J]. 地震学报,2000, 22(4):338\|344
    [4] Davis S D, Frolich C. Single\|link Cluster Analysis and Earthquake Aftershocks; Decay Laws and Regional Variations[J]. J Geophys Res, 1991,96:6 335\|6 350
    [5] Felzer K R. Appendix I: Calculating California Seismicity Rates[R]. USGS Open File Report, Pasadena, California, 2007
    [6] 卢怡利. 1993年至2004年嘉南地震之b值[D]. 台北:中国台湾国立中正大学,1994
    [7] Lapajne J K. Spatially Smoothed Seismicity Modelling of the Seismic Hazard in Slovenia[J]. J Seismol, 1997(1): 73\|85
    [8] 汤皓,陈国兴. 基于GIS和神经网络模型的场地地震液化势风险评价[J]. 武汉大学学报\5信息科学版,2007,32(8): 727\|730
    [9] Fu Zhengxiang, Lu Xiaojian, Shao Huicheng, et al. Analysis on Statistical Characteristics of b\|values of Aftershock Series in China Continent and Its Subregions[J]. Earthquake, 2008,28(3): 1\|7
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Probability Estimation of Future Earthquakes in China Based on Improved PSHA Model

  • Author Bio:

Abstract: Considering the importance of PSHA model in earthquakes forecasting, by using the catalog in the 200 years in China, we tried to improve the original PSHA model with combining seismic energy distribution model, and computed the probability of earthquakes in a specific area in China with time\|span T based on both the improved PSHA model and the original model. Finally the experimental results show that the improved model is more efficiency and reliable than the original one.

LU Zhiyue, F.Benjamin ZHAN, E Dongchen. Probability Estimation of Future Earthquakes in China Based on Improved PSHA Model[J]. Geomatics and Information Science of Wuhan University, 2013, 38(3): 349-352.
Citation: LU Zhiyue, F.Benjamin ZHAN, E Dongchen. Probability Estimation of Future Earthquakes in China Based on Improved PSHA Model[J]. Geomatics and Information Science of Wuhan University, 2013, 38(3): 349-352.
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