粒子群算法在多种数据联合反演断层三维滑动速率的应用研究  

Application of Particle Swarm Optimization Algorithm in 3D Fault Slip Velocity Inversion based on Multi-data

作　　者：刘杰[1] 王宏宇[2] 山锋[3] LIU Jie;WANG Hongyu;SHAN Feng(Xi’an Peihua University,Xi’an 710125,China;The First Geodesic Surveying Brigade of NASMG,Xi’an 710000,China;Shaanxi College of Communication Technology,Xi’an 710000,China)

机构地区：[1]西安培华学院,陕西西安710125 [2]国家测绘地理信息局第一大地测量队,陕西西安710000 [3]陕西交通职业技术学院,陕西西安710000

出　　处：《粉煤灰综合利用》2024年第2期153-157,共5页Fly Ash Comprehensive Utilization

基　　金：陕西省教育厅2021年度一般专项科研计划项目:(SJS2023YB083)。

摘　　要：建立多种大地测量数据联合反演的数学模型。利用青藏高原东北缘地区的GPS、水准、重力三种观测数据,结合附有LDW策略的惯性权重的粒子群算法,反演龙首山断裂的三维滑动速率。结果表明:龙首山断裂主要以右旋、逆冲为主,兼具挤压趋势,且具有空间分布不均匀性的特征。相比单一数据的反演结果,多种数据联合反演更具稳定性和规律性。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.

关 键 词：位错模型 粒子群算法 联合反演 三维滑动速率 龙首山断裂 

分 类 号：P228[天文地球—大地测量学与测量工程]