Table 1.
Parameters of Sentinel-1A SAR image pairs used for D-InSAR processing.
Fig 1.
Schematic diagrams of predicted surface movement in (a) the strike section and (b) the dip section based on the PIM.
Fig 2.
Effective monitoring areas of InSAR for different subsidence zones.
Fig 3.
Flowchart of the integrated D-InSAR–PIM–Boltzmann dynamic subsidence prediction model.
Fig 4.
Subsidence magnitudes for each monitoring period derived from D-InSAR processing.
Fig 5.
Cumulative subsidence distributions in the 2301 working face over the monitoring period.
Table 2.
Inverted parameters of the Probability Integral Method (PIM).
Table 3.
Error statistics between measured and PIM forward-modeled subsidence values in strike and dip directions.
Fig 6.
Comparison between measured surface subsidence values and PIM forward-modeled results.
Table 4.
Boltzmann time-function inversion results for selected points in the D-InSAR edge region.
Table 5.
Boltzmann function parameter inversion results for representative monitoring points in the 2301 working face.
Fig 7.
Relationship between subsidence value and maximum subsidence at the time of peak subsidence velocity for representative points in the 2301 working face.
Fig 8.
Comparison between inverted and predicted values of the time of maximum subsidence rate (t₀) for monitoring points in the 2301 working face.
Fig 9.
Relationship between maximum subsidence velocity and final subsidence for monitoring points in the 2301 working face.
Table 6.
Accuracy analysis of predicted subsidence values for different monitoring periods.
Fig 10.
Comparison between measured and predicted subsidence values in the 2301 working face: (a) strike direction; (b) inclined direction.
Fig 11.
Comparison between predicted and measured subsidence values at strike monitoring points (t = 17d,t = 48d,t = 90d,t = 157d,t = 212d,t = 330d).
Fig 12.
Comparison between predicted and measured subsidence values at dip monitoring points (t = 17d,t = 48d,t = 90d,t = 157d,t = 212d,t = 330d).
Table 7.
Sensitivity analysis of prediction accuracy with respect to parameter B.