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利用GPS资料反演华北块体运动的负位错模型参数 被引量:13

Negative Dislocation Model Parameters Inverted from GPS Data in North China
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摘要 利用华北地区 (北纬 36°~ 4 2° ,东经 112°~ 12 0°) 1995~ 1999三期GPS观测所获得的测站点的速度数据 ,通过引入板内块体相对运动模型 ,反演了该地区三条主要断裂带的负位错模型参数 ,从而区分研究区域各个活动断层运动闭锁强弱 。 In this paper, the data obtained by three GPS campaigns in 1995, 1996,and 1999 in North China have been used to study the intraplate tectonic block movement model in this area.By Bayesian inversion method, negative dislocation distribution on three main fault zones and individual relative movement between four intraplate tectonic blocks has been obtained based on the GPS data.Accordingly, the intensity of fault lock has been distinguished and the fault with biggest possibility of potential earthquake has been pointed out.The obtained negative dislocation values on the Front Taihang Mountain Fault are (-5±2) mm/a in tensile component and (2±2) mm/a in both strike and dip component,which indicate that this fault suffers the pull apart tectonic movement.On the Tangshan_Ninghe Fault,the obtained negative dislocation values are (-3±3) mm/a in dip,(-2±2) mm/a in tensile and (-1±3) mm/a in strike,which indicates that the east part of this fault still have upward movement.On the Zhangjiako_Beipiao Fault, the obtained negative dislocation values are (-4±2) mm/a in strike,(0±2) mm/a in dip,and (1±2) mm/a in tensile,which indicate that this fault has sinistral strike movement.According to the inversion results,the southern part of the Zhangjiako_Beipiao Fault suffers the pull tectonic movements caused by the recent upward movement at the east part.The pull tectonic movements are almost totally blocked on the Front Taihang Mountain Fault.So the Front Taihang Mountain Fault is a potential earthquake source,more crustal deformation monitoring work should be applied in this area.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2002年第4期352-357,共6页 Geomatics and Information Science of Wuhan University
基金 国家杰出青年科学基金资助项目 (4 972 5 411) 国家自然科学基金资助项目 (4 990 40 0 1)
关键词 GPS资料 反演 华北块体 负位错模型 断层 全球定位系统 fault dislocation model inversion
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