摘要
联合反演是解释地球动力问题的有力手段,本文利用近年来发展的新优化算法—粒子群算法结合位错理论模型,比较了模拟数值的联合反演与单一数据反演的结果。并采用青藏高原东北缘2001-2004年间的GPS数据,及2003-2004年间的重力数据,对皇城-塔尔庄断层的三维滑动速率进行了附有相对权比的联合反演计算。结果表明,多种数据联合反演能更合理的把握运动特征。粒子群算法可有效地求解断层的三维滑动速率,该算法在大地测量反演中将有广阔的应用前景。
Joint inversion is powerful tool of explaining earth＇ s dynamic problems. In this study, by using the particle swarm opti- mization algorithm which is a new developed optimization algorithm in recent years combined with the dislocation model, the authors compared joint inversion with single data inversion by stinmlating data. And three dimension slip velocity of the Huangeheng-Ta＇ er zhuang fault were jointly inversed by using GPS data during 2001-2004 and gravity data during 2003-2004 observed in north-east margin of the Qinghai-Tibet Plateau. The results showed that joint inversion was more reasonable for reflecting the characteristics of fault move- ment than single data inversion resuhs. The particle swarm optimization algorithm could compute three dimension slip velocity of fault effectively. The PSO will have broad application prospects in geodetic inversion.
出处
《测绘科学》
CSCD
北大核心
2011年第4期95-97,共3页
Science of Surveying and Mapping
基金
国家自然科学基金(40674001)
关键词
位错模型
粒子群算法
联合反演
断层滑动速率
GPS和重力数据
dislocation model
particle swarm optimization algorithm （PSO）
joint inversion
fault sli Pvelocity
GPS and gravity data
