用遗传算法反演地壳的变密度模型

基金项目: 国家自然科学基金资助项目(40274020);中国科学院知识创新工程资助项目(KZCX2-109)

详细信息

Inversion of Variable Density Model of Crust from Genetic Algorithms

1 Institute of Geodesy and Geophysics, Chinese Academy of Sciences, 174 Xudong Road, Wuhan 430077, China;
2 Graduate School of the Chinese Academy of Sciences, 19A Yuquan Road, Beijing 100038, China

摘要: 用青藏高原布格重力异常资料,结合亚东格尔木地学断面得到的Moho面结构,反演了青藏高原中部地壳内密度随深度变化的指数分布函数,试验得出地壳表层与地幔的密度差约为-0.926 g·cm^-3,地壳的平均密度值为2.750 g·cm^-3。
- 遗传算法 /
- 重力反演 /
- 变密度 /
- 青藏高原
Abstract: An approach for inverting crustal variable density model in wave-number domain from gravity and DSS results by implementing genetic algorithms is investigated. The validity and stability of this method is proved. The exponential density models of crust are inverted from Bouguer gravity anomalies in central Tibetan Plateau, combined with Moho boundaries derived from seism in Yadong-Golmud GGT. The density contrast between crustal surface and mantle is about-0.926g·cm^-3, the average density of crust is 2.750 g·cm^-3 in central Tibetan Plateau.
- genetic algorithms /
- gravity inversion /
- variable density /
- Tibetan Plateau