首页 | 本学科首页   官方微博 | 高级检索  
     检索      

???????????????????????
引用本文:王宏宇,刘杰,山锋.???????????????????????[J].大地测量与地球动力学,2015,35(1):30-33.
作者姓名:王宏宇  刘杰  山锋
作者单位:1 国家测绘地理信息局第一大地测量队, 西安市测绘路4号, 710054
2 西安培华学院, 西安市培华南路, 710125
3 陕西交通职业技术学院, 西安市文景路19号, 710018
摘    要:?????????????λ????????????????????????????????????????????????????????????????????巨???????????????????ú???????2001~2004???GPS?????????????????????????????з????????????????б?????????????????????????Ч??????????????????????????????

关 键 词:λ??????  ?????????  ????  ?????????  
收稿时间:2014-02-26

Fault Slip Velocity Inversion by Using the Particle Swarm Optimization Algorithm with Leveling Data
WANG Hongyu,LIU Jie,SHAN Feng.Fault Slip Velocity Inversion by Using the Particle Swarm Optimization Algorithm with Leveling Data[J].Journal of Geodesy and Geodynamics,2015,35(1):30-33.
Authors:WANG Hongyu  LIU Jie  SHAN Feng
Institution: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.
Keywords:dislocation model  particle swarm optimization algorithm(PSO)  inversion  fault slip velocity
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《大地测量与地球动力学》浏览原始摘要信息
点击此处可从《大地测量与地球动力学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号