许兵

副教授 博士生导师 硕士生导师

所在单位:地球科学与信息物理学院

学历:博士研究生毕业

办公地点:中南大学新校区地科楼北211

联系方式:xubing@csu.edu.cn

学科:测绘科学与技术

Prediction of Mining-Induced Kinematic 3-D Displacements From InSAR Using a Weibull Model and a Kalman Filter

发布时间:2022-02-17

点击次数:

影响因子:5.6

DOI码:10.1109/TGRS.2021.3055854

发表刊物:IEEE Transactions on Geoscience and Remote Sensing

关键字:KinematicsPredictive models; Solid modelingStrain; Kalman filters; Displacement measurement; Market research; Displacement modeling; Displacement prediction; Interferometric synthetic aperture radar (InSAR); Kalman filter; Mining geohazards; Weibull model.

摘要:Accurately predicting ground surface deformation is a crucial task in mining-related geohazards control. Interferometric synthetic aperture radar (InSAR) technique can widely detect historical line-of-sight (LOS) displacements with a high spatial resolution. By incorporating with spatio-temporal deformation models, InSAR can predict kinematic 3-D displacements due to underground mining. However, this method depends on the geometric parameters (at least seven generally) of underground mined-out areas, hindering its practical applications especially over a large area. To circumvent this, we proposed a new method for predicting kinematic 3-D mining displacements by incorporating InSAR with a temporal model, rather than spatio-temporal models used before, in this article. In doing so, much less prior parameters (only three and can be empirically given) are required, with respect to the previous InSAR-based methods. To achieve this, we first revealed that InSAR LOS displacements caused by underground longwall mining at a single point temporally follow an S-shaped growth pattern. Meanwhile, we also showed that a Weibull model can describe the temporal evolution well. Based on these findings, the proposed method first predicts, in a point-wise manner, the kinematic LOS mining displacements from historical InSAR measurements using the Weibull model and a Kalman filter. The kinematic 3-D displacements are then resolved from the predicted LOS displacements with the help of a common prior information relating to mining deformation. The proposed method was tested in the Datong coal mining area of north China. The results show an averaged accuracy of about 0.007 m of the resolved kinematic 3-D displacements.

论文类型:期刊论文

学科门类:工学

一级学科:测绘科学与技术

文献类型:J

卷号:60

是否译文:

发表时间:2021-02-12

收录刊物:SCI

发布期刊链接:https://ieeexplore.ieee.org/document/9353675

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