地震地质 ›› 2009, Vol. 31 ›› Issue (4): 747-757.DOI: 10.3969/j.issn.0253-4967.2009.04.018

• 水库地震监测与研究 • 上一篇    下一篇

水库地震最大震级预测初步研究

张飞宇1,2, 王晓青2, 付虹3, 丁香2, 王龙2, 郑友华2   

  1. 1. 云南大学资源环境与地球科学学院, 昆明, 650091;
    2. 中国地震局地震预测研究所, 北京, 100036;
    3. 云南省地震局, 昆明, 650224
  • 收稿日期:2009-07-13 修回日期:2009-11-16 出版日期:2009-12-24 发布日期:2010-04-17
  • 作者简介:张飞宇,男,1981年出生,现为云南大学资源环境与地球科学学院固体地球物理专业在读研究生,主要从事水库地震研究,电话:0871-5747902,E-mail:61138461@qq.com.
  • 基金资助:
    “十一五”国家科技支撑计划项目(2006BAC01B040203)资助

A PRELIMINARY STUDY ON PREDICTION OF MAXIMUM MAGNITUDE OF RESERVOIR INDUCED EARTHQUAKE

ZHANG Fei-yu1,2, WANG Xiao-qing2, FU Hong3, DING Xiang2, WANG Long2, ZHENG You-hua2   

  1. 1. School of Resource Environment and Earth Sciences, Yunnan University, Kunming 650091, China;
    2. Institute of Earthquake Science, China Earthquake Administration, Beijing 100036, China;
    3. Earthquake Administration of Yunnan Province, Kunming 650224, China
  • Received:2009-07-13 Revised:2009-11-16 Online:2009-12-24 Published:2010-04-17

摘要: 水库地震最大震级综合影响参数E值预测法及其与最大地震的经验关系自1987年被提出后,在很多大型水库中得到了应用并取得了一定的效果。此后20多年又有一批水库地震被确认。该经验关系是否适用值得研究。文中在收集增补最新水库地震资料的基础上,选取48个水库地震震例资料,统计确定了新的水库地震最大震级与综合影响参数的经验模型,并与已有经验模型进行了比较,最后得出水库地震的最大震级上限≯7。

关键词: 水库地震, 最大震级, 震级预测, 模式识别, 综合影响参数

Abstract: Since the prediction method for maximum magnitude of reservoir induced seismicity by using comprehensive effecting parameter E-value was proposed in 1987,it has been applied to many largescale reservoirs with good effects.After that,a group of reservoir induced earthquakes were confirmed in the past 20 years.The applicability of the model is worth studying.Based on collection of new cases of reservoir induced earthquakes,48 reservoir induced earthquake cases are selected in the paper. A new empirical prediction model of the maximum magnitude with E-value is statistically obtained and compared with the old one.At last,the upper limit of the maximum magnitude of reservoir induced earthquake is estimated to be less than M7.

Key words: reservoir induced earthquake, the maximum magnitude, magnitude prediction, pattern recognition, comprehensive effecting parameter

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