地震地质 ›› 2011, Vol. 33 ›› Issue (3): 568-576.DOI: 10.3969/j.issn.0253-4967.2011.03.007

• 大地震研究 • 上一篇    下一篇

基于临汾2次强震史料与GIS技术对未来强震灾害预测评估

赵晓云1,3, 李自红2,3, 闫小兵3, 薄建杰3, 李慧玲3, 高云峰3   

  1. 1. 吉林大学, 长春 130022;
    2. 太原理工大学, 太原 030024;
    3. 山西省地震局, 太原 030021
  • 收稿日期:2010-11-23 修回日期:2011-02-23 出版日期:2011-09-29 发布日期:2011-12-16
  • 作者简介:赵晓云,女,1977年生,2000年毕业于西安电子科技大学计算机专业,工程师,现主要研究方向为测震数据分析、软件开发和网络安全,电话: 0351-5610592,E-mail: zxy_yxz01@126.com。
  • 基金资助:

    山西省科技厅 "山西省地震灾害总结及其地理信息系统建设"项目(022069)资助。

SEISMIC DISASTER ASSESSMENT AND PREDICTION BASED ON HISTORICAL MATERIALS OF TWO STRONG EARTHQUAKES IN LINFEN REGION AND GIS TECHNOLOGY

ZHAO Xiao-yun1,3, LI Zi-hong2,3, YAN Xiao-bing3, BO Jian-jie3, LI Hui-ling3, GAO Yun-feng3   

  1. 1. Jilin University,Changchun 130022,China;
    2. Taiyuan University of Technology,Taiyuan 030024,China;
    3. Earthquake Administration of Shanxi Province,Taiyuan 030021,China
  • Received:2010-11-23 Revised:2011-02-23 Online:2011-09-29 Published:2011-12-16

摘要:

通过对临汾2次历史强震史料的研究,总结出其震害分布特征,对比各类衰减模型绘制的等震线图,确定了对该地区不同震级地震最适用的衰减关系模型和修正值; 应用GIS技术的空间分析功能,实现了临汾地区更为直观的震害预测评估系统。再将临汾2次历史强震损失重建,从而预测出临汾地区现有经济社会情况下的地震灾害的损失情况,为其未来防震减灾实际工作提供了可靠的依据。

关键词: 历史强震, GIS, 历史地震损失重建, 灾害预测评估

Abstract:

Through studies on the historical data of the two historical strong earthquakes in Linfen region,the characteristics of earthquake disaster distribution are summarized,and the actual isoseismal are drawn.By comparison of theoretic isoseismal maps obtained from different attenuation relationship models,the most suitable model and its modification part for different magnitudes in this region are determined.Using the spatial analysis function of GIS techniques,the more visual system of earthquake disaster prediction and evaluation is realized.In addition,the loss situation of earthquake damage in Linfen region under the present economic society is predicted based on the reconstruction data of the two historical strong earthquakes.This work provides reliable basis for practical work of earthquake prevention and disaster reduction in the future.

Key words: historical strong earthquakes, GIS, reconstruction of historical earthquake loss, disaster prediction and evaluation

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