基于GPS和水准数据的微粒群算法联合反演祁连山北缘断裂三维滑动速率

将微粒群算法与位错理论模型相结合，采用中国地壳运动观测网络提供的青藏高原地区2001~2004年GPS测量数据和2000~2006年水准测量数据，通过常规定权和附有相对权比的方法对祁连山北缘断裂的三维滑动速率进行联合反演，并与蚁群算法反演结果进行对比。结果表明，微粒群算法收敛速度快、稳定性高，结合经典位错理论模型，是一种可以有效求解断层三维滑动速率反演问题的优化算法，在大地测量反演领域极具应用潜力。

Three-Dimensional Slip Velocity of Northern Edge of Qilian Mountain Fault Inversion Using the Particle Swarm Optimization Algorithm with GPS and Leveling Data

This study shows the optimization by using the particle swarm optimization algorithm combined with the dislocation model. Three-dimension slip velocity of the Qilian mountain fault is inversed using GPS data observed in north-east margin of the Qinghai-Tibet plateau during 2001-2004 and levelling data in 2000-2006. The results show that multiple data joint inversion can more reasonably grasp the motion characteristics. The particle swarm optimization algorithm can compute three-dimension slip velocity of the Qilian mountain fault effectively. This algorithm will have broad application prospects in geodetic inversion.