Identification and Evaluation of Active Fault in the Reservior Head of Three Gorges Project based on Grey Statistical Model

摘要：

It often plays an important role in the earthquake prediction to monitor and identify fault rupture.Based on five years live fault rupture observational data of the three gorges projects reservior head area, this paper applies grey statistical model to analyze eight live fault ruptures and identify seven live fault ruptures according to 0.1mm displacement criterion per year which is regarded as index for grey type.Because the proposed method takes dislocating rates discrete effect into account, the identification and evaluation results from a numerical example confirmed that this method is closer to reality compared with traditional average method.

关键词： live fault rupture recogniton evaluation grey statistics three gorges project

作者: LIU Zuqiang ZHANG Jun LIU Yong LIU Yanjie

作者单位: Changjiang Institute of Survey Planning Design and Research Changjiang Water Resources Commission Wu College of Land Management Huazhong Agricultural University Wuhan,China,430070 Hubei Institute of Water Resource and Water Power Survey Planning and Design,Wuhan,China,430070 Changjing Institute of Survey Planning Design and Research Changjiang Water Resources Commission Wuh

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

会议地点: 南京

会议语种:英文

页码: 510-516

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）