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Improved Particle Swarm Optimization And Linear Structure Applied Research In Activity Characteristic Inversion

Posted on:2020-06-26Degree:MasterType:Thesis
Country:ChinaCandidate:B ZhangFull Text:PDF
GTID:2370330590987250Subject:Geodesy and Survey Engineering
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In the common natural disasters,the two kinds of "linear" tectonic movements of earthquakes and ground fissures have become a major threat to people's lives and property and the daily life environment,which has a great impact on the production and life of geological disasters.Therefore,the research on the characteristics of seismic faults and ground fissure tectonic activities has important practical significance for earthquake and ground fissure disaster prevention and reduction and protection of people's lives and property.However,no matter whether the scholars have studied through it,most of the earthquakes and the fundamental causes of the occurrence of ground fissure disasters are the occurrence of deep faults or shallow cracks under the regional tectonic stress field due to fault displacement caused by crustal movement.In the surface caused deformation and destruction.Research,the study of the activity state of faults has a particularly important practical significance for disaster reduction.With the development of geodetic technology,especially the development of geodetic geodetic GPS and InSAR technology,it is possible to accurately detect the surface deformation caused by seismic faults and ground fissures,and further emphasize the constraints.The research method has also been introduced into the fault research.It has become an important means to study the dislocation of the "linear" structure to reflect the characteristics of today's fault activity by using the observed deformation based on the geodetic inversion theory model.In this paper,based on the improved particle swarm optimization algorithm,combined with the theory of the dislination-dislocation and the inversion theory of the source slip distribution,the GPS and InSAR monitoring data monitored by high precision are used as constraints to select the strong structural region of China.The Lushan and Yao'an earthquake faults in the Luan area and the typical Xi'an ground fissures in the Weihe Basin have been carried out to carry out inversion studies and analysis of the "species-line" structure of earthquakes and ground fissures.The main conclusions and innovative achievements of the research content of the thesis are as follows:(1)According to particle similarity and evolution speed-aggregation degree,the weight of particles is dynamically adjusted.An improved particle swarm optimization algorithm isproposed,and the inertia weight value is constant,the inertia weight value is linearly decremented,and the inertia weight is nonlinearly decremented.Five algorithms,namely the dynamic weight particle swarm optimization algorithm and the improved particle swarm optimization,show that the improved particle swarm optimization algorithm is superior to the other four algorithms in stability and effectiveness,and further enhances the convergence of the particle swarm optimization algorithm.Speed and solution convergence performance.(2)Using the GPS co-seismic data of the Lushan earthquake in 2013,the fault parameters of the Lushan earthquake seismogenic fault were calculated by five particle swarm optimization algorithms,and the effective results of the improved particle swarm optimization algorithm were verified by comparing the previous research results.Sex and accuracy.Based on this,the fine slip distribution of seismic faults is further calculated.The results show that the fault strike of the Lushan earthquake is 213.3°,the dip angle is 39.74°,and the maximum slip is located at a depth of about 15 km below the surface.The maximum slip is about 0.95 m.The whole is dominated by thrust slip.(3)Using the ALOS_InSAR coseismic image of the Yao'an earthquake in 2009,the high-precision coseismic deformation field of the Yao'an earthquake was obtained for the first time,and the uniform sliding and non-uniform distributed sliding models of the seismic fault were established respectively.The inversion results show that the Yao'an earthquake is dominated by right-lateral slip and has a downward component.The main slip occurs at a depth of 3-8 kmde below the surface,with a maximum slip of about 70 cm and a depth of 6km.Finally,the rationality of the inversion results is discussed from the aspects of geology,geophysics,Coulomb stress simulation and regional structure.(4)The overall activity characteristics of the Weihe Basin are studied in depth.It is found that the tensile strain in the central part of the basin(Xi'an area)is obviously a strong tectonic activity area,and the Xi'an ground fissure dislination-dislocation combination model is further established.The improved particle swarm optimization algorithm is applied to Xi'an.Inversion studies of current activity parameters of ground fissures have been conducted.The results show that the Xi'an ground fissures are dominated by normal faults,and they all exhibit certain rotation characteristics,and there are significant differences in rotation between the ground fissures,which further proves the three-dimensional activities of Xi'anground fissures.characteristic.
Keywords/Search Tags:Lushan Earthquake, Yao'an Earthquake, Eaeth Fissure, Particle swarm optimization, Dislocation Model, Disclination theory
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