Application of Particle Swarm Optimization Algorithm in 3D Fault Slip Velocity Inversion based on Multi-data
Mathematical model for joint inversion of various geodetic data is established.Using the three observation data of GPS,leveling,and gravity in the northeastern margin of the Qinghai-Tibet Plateau,combined with the inertial weighted particle swarm algorithm with LDW strategy,we inverted the 3D slip rate of the Longshoushan fault.The results show that the Longshoushan fault is mainly right-handed and thrust,and has a tendency of extrusion.The fault activity has the characteristics of uneven spatial distribution.