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Inversion Of Coseismic Fault Slip Distribution

Posted on:2020-04-16Degree:MasterType:Thesis
Country:ChinaCandidate:R LiFull Text:PDF
GTID:2370330590959456Subject:Surveying and mapping engineering
Abstract/Summary:PDF Full Text Request
China is located between the volcanic seismic.belt around the Pacific Ocean and the Himalayan seismic belt.In the earthquake disaster,the damage of tectonic earthquake is very destructive,and the study of fault fault parameters and slip distribution of tectonic earthquake is of great significance to the evaluation of earthquake and scientific disaster relief.Surface deformation is the most direct response of the earth's surface to seismic fault movement.In this paper,the inversion algorithm,refined sliding distribution inversion,joint data inversion three aspects continue to deepen their own research.First,the accuracy and efficiency of PSO,GSA and CGSA-PSO algorithms for nonlinear multi-parameter model inversion are compared to determine the appropriate inversion algorithm.Then the CGSA-PSO algorithm is used to invert the fault dip Angle of lushan fault with the idea of the miyagi grid.Finally,in order to overcome the uncertainty caused by single data inversion,the combined GPS and InSAR data are used to fully parameter inversion of the fault geometry and fault slip distribution of the meinong earthquake.The main research work of this paper is as follows:?1?CGSA-PSO algorithm was used to invert the slip rate of lushan fault.The CGSA-PSO algorithm can effectively and reliably invert the fault slip rate using the GPS coseismic displacement field as the initial data.In lushan earthquake example,the sliding rate obtained by cgsa-pso algorithm is verified from moment magnitude,surface deformation and seismic properties.The inversion results show that the fault is 0.0198m,0.6908m.and the released energy?Mw 6.58?,which are similar to those published by authorities.The forward sliding rate is consistent with the surface GPS observations.?2?Construct the geometry of lushan synseismic fault.The fault morphology of lushan earthquake can be divided into three segments:the south segment,the middle segment and the north segment.The southern segment has a large fault dip and is close to steep.At the bottom of the north the fault Angle increases with the depth of the Angle smaller,35° inclination,shovel shaped structure.The middle section,as the connection between the north and south sections,decreases with the increase of depth.On the whole,the upper lushan fault appears to be gentle from the top to the bottom,and gentle from the south to the north.?3?inversion of lushan coseismic sliding distribution.The distribution of sliding parameters obtained from lushan seismic inversion shows that the maximum sliding momentum is all around 13km below the surface,and the maximum sliding momentum is 0.82m,slightly larger than the results of Jiang and xu caijun.?4?geometric inversion of meinong earthquake fault.Combining CGSA-PSO algorithm and grid algorithm to determine the strong earthquake fault,the optimal geometric parameters,the optimal position of seismogenic longitude and latitude?120.465° and 22.953 °?,the optimal direction Angle is 299.585 °,the optimum tilt Angle is 26.546° and the optimal depth of 11.450 km.?5?GPS and InSAR inversion of the sliding distribution of meinong earthquake.The co-seismic sliding distribution model of the meinong earthquake shows that the rupture is mainly concentrated in the range of 10km to 16km underground,and the calculated seismic moment is 5.46 1018N·m and the moment magnitude is 6.45mw.The residual of east-west horizontal displacement was no more than 5mm,accounting for 84%of the total points,and the maximum residual was 11.50mm.In this paper,the three aspects of the work is aimed at studying fault geometry and fault movement from the point of view of a more complete study of the same earthquake fault model,earthquake evaluation and scientific disaster relief is of certain significance and to provide some ideas for others to study.
Keywords/Search Tags:Slip Distribution, Fault geometry, Joint Inversion, D-InSar, GPS
PDF Full Text Request
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