引用本文: 尹建鹏, 许才军. 利用组合算法反演球体分层模型的断层参数[J]. 武汉大学学报 ( 信息科学版), 2019, 44(9): 1320-1327.
YIN Jianpeng, XU Caijun. Inversion of Fault Parameters Based on Combinational Algorithm for Spherical Layered Model[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1320-1327.
 Citation: YIN Jianpeng, XU Caijun. Inversion of Fault Parameters Based on Combinational Algorithm for Spherical Layered Model[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1320-1327.

## Inversion of Fault Parameters Based on Combinational Algorithm for Spherical Layered Model

• 摘要: 随着空间大地测量观测精度的提高，大地测量反演模型也更加精确细化，对反演算法也提出了更高的要求。针对球体分层位错模型断层参数反演问题，从反演参数的敏感性与相关性两个方面入手，分析了遗传算法在反演中的缺陷，提出了迭代最小二乘算法与遗传算法相结合的组合算法，利用模拟数据反演验证了算法的有效性。在遗传算法的断层参数反演中，断层的深度和滑距往往难以得到良好的结果，主要原因首先是上深度与下深度之间以及深度与滑距之间具有很强的相关性，其次是深度和滑距的敏感性相对来说也比较低。组合算法在各种倾角的断层上都取得了理想的反演结果，具有实用性。

Abstract: With the improvement of space geodetic observation accuracy, the geodetic inversion model is more precise and detailed, and higher requirements are also put forward for the inversion algorithm. Focusing on the inversion of fault parameters in the spherical layered model, the defects of genetic algorithm is analyzed and a new combinational inversion algorithm based on iterative least squares algorithm and genetic algorithm is proposed. The co-seismic deformation inversion mode due to seismic fault has set up considering the earth layering. The effectiveness of the combinational algorithm has been verified using the simulated data. In the inversion of genetic algorithm, it is often difficult to obtain good results of fault depth and slip distance.. The main reason is the strong correlation between these parameters and the secondary reason is the low sensitivity of depth and slip. The combinational algorithm proposed in this paper has achieved ideal results on faults of various dip angles and has practicality.

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