Name
Title | ||
|---|---|---|
Prediction of Mining-Induced Kinematic 3-D Displacements From InSAR Using a Weibull Model and a Kalman Filter |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TGRS.2021.3055854 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
Keywords | DocType | Volume |
Kinematics, Predictive models, Solid modeling, Strain, Kalman filters, Displacement measurement, Market research, Displacement modeling, displacement prediction, interferometric synthetic aperture radar (InSAR), Kalman filter, mining geohazards, Weibull model | Journal | 60 |
Issue | ISSN | Citations |
99 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ze Fa Yang | 1 | 20 | 6.83 |
| Bing Xu | 2 | 0 | 0.68 |
| Zhiwei Li | 3 | 0 | 1.01 |
| Lixin Wu | 4 | 94 | 35.60 |
| ZHU Jian-jun | 5 | 78 | 29.76 |