柯小平, 王勇, 许厚泽. 用遗传算法反演地壳的变密度模型[J]. 武汉大学学报 ( 信息科学版), 2004, 29(11): 981-984.
引用本文: 柯小平, 王勇, 许厚泽. 用遗传算法反演地壳的变密度模型[J]. 武汉大学学报 ( 信息科学版), 2004, 29(11): 981-984.
KE Xiaoping, WANG Yong, XU Houze. Inversion of Variable Density Model of Crust from Genetic Algorithms[J]. Geomatics and Information Science of Wuhan University, 2004, 29(11): 981-984.
Citation: KE Xiaoping, WANG Yong, XU Houze. Inversion of Variable Density Model of Crust from Genetic Algorithms[J]. Geomatics and Information Science of Wuhan University, 2004, 29(11): 981-984.

用遗传算法反演地壳的变密度模型

Inversion of Variable Density Model of Crust from Genetic Algorithms

  • 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

     

    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.

     

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