Fault Slip Velocity Inversion by Using the Particle Swarm Optimization
Algorithm with Leveling Data
1 The First Geodesic Surveying Brigade of NASMG，4 Cehui Road, Xi’an 710054, China
2 Xi’an Peihua University，South-Peihua Road, Xi’an 710125, China
3 Shaanxi College of Communication Technology, 19 Wenjing Road, Xi’an 710018, China
Abstract The particle swarm algorithm is a newly developed optimization. Application of the particle swarm algorithm in geodetic inversion problems is rarely reported in China. In this study, by using the particle swarm optimization algorithm combined with the dislocation model，the three dimension slip velocity of the Qilianshan mountain fault is inversed by using leveling data observed in Hexi region during 2001-2004.The results show that the particle swarm optimization algorithm can compute three dimension slip velocity of the fault effectively. The results of the numerical inversion are consistent with those obtained by geological methods.
WANG Hongyu,LIU Jie,SHAN Feng. Fault Slip Velocity Inversion by Using the Particle Swarm Optimization
Algorithm with Leveling Data[J]. jgg, 2015, 35(1): 30-33.
WANG Hongyu,LIU Jie,SHAN Feng. Fault Slip Velocity Inversion by Using the Particle Swarm Optimization
Algorithm with Leveling Data[J]. jgg, 2015, 35(1): 30-33.
