Submitted:
29 June 2023
Posted:
30 June 2023
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. The Study Region
2.2. Data
- 21 images from June 2015 to January 2018 before the Goaf treatment;
- 15 images from January 2018 to March 2019 during the Goaf governance period;
- 13 images from March 2019 to March 2020 in the year after Goaf remediation;
- 13 images from March 2020 to March 2021 in the second year after Goaf remediation.
2.3. Principle of PS-InSAR technology
2.4. Data processing processes
- A large number of SAR images are compared and interfered with in order of data, taking into account temporal and spatial baseline thresholds, as well as time nodes, meteorological conditions and Doppler mass frequencies, Etc., to select the super master image.
- Differential interference processing of the super master image using DEM data.
- The PS points with high signal-to-noise ratio and high coherence characteristics are selected, the interferometric phase of these target points is processed, and the Delonet network function model is used to analyse and remove the delay fluctuations caused by the signal propagation process.
- Finally, the function model is used to estimate the atmospheric residuals, the linear phase residuals of the flat-earth phase and the deconvolution process, Etc., and then two atmospheric filters with different fluxes of high pass and low pass are used for atmospheric correction using the time window of 365 days and the spatial window of 1.2Km respectively. the result is the final deformation result of the PS-inSAR technique.
- The resulting vector file of deformation results is flexibly time-series superimposed on the satellite image to visualise the point information, and interpolation is used to generate a subsidence cloud map to visualise the subsidence results.
3. Results and Analysis
3.1. PS-InSAR monitoring result
3.2. PS point accuracy verification
3.3. Surface Subsidence Analysis
3.3.1. Surface subsidence law before goaf is not filled.
3.3.2. Surface subsidence law during the filling of the mining area
3.3.3. Surface subsidence law in the first year after the treatment of the mining area
3.3.4. Surface subsidence law in the second year after the treatment of the mining area
4. Discussion
5. Conclusions
- According to the actual mining time of the mine, satellite images of different periods of the mining area are obtained, the PS point deformation information of the mine area is obtained by ENVI+Scrape software processing, and the surface deformation cloud map and surface subsidence curve of the mine area obtained by kriging difference processing have a small error value compared with the level measurement results of the mining area, which is consistent with the actual project, and can accurately characterize the surface deformation.
- The surface subsidence curve obtained was analyzed, which was consistent with the on-site measurement and relevant reference results, indicating that the monitoring results were good, in line with the movement deformation of the mine rock strata and the influence of different factors such as mining parameters and mining depth was considered in the result analysis. It was concluded that the unreasonable layout of the stope in the goaf before treatment led to the instability of the roof, and the ore column was the main factor of surface subsidence, and the surface subsidence during the treatment period was mainly affected by the mining depth and filling materials. Therefore, this technique can reflect the rock strata movement deformation and surface subsidence characteristics of the mining area.
- In addition, compared with the theoretical model and numerical model, the use of PS-InSAR monitoring can accurately reflect the process of rock strata movement deformation and surface subsidence in each stage from the goaf untreated, the treatment is completed, and the location of rock strata movement deformation and surface subsidence under different treatment methods in the goaf area, from the comparison of the surface subsidence curve and the actual situation of the surface of the mining area, the obtained rock strata movement deformation and surface subsidence position are in line with the actual situation of underground mining engineering.
- The author only studied the movement deformation and surface subsidence law of the gently inclined shallow ore body, and other mining geological conditions need to be further studied.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix
| Study period ID | Date of Acquisition (DD-MM-YYYY) | Time baseline(d) | Normal baseline(m) |
|---|---|---|---|
| 2015-2018 | 25-06-2015 | -444 | -84.883 |
| 12-08-2015 | -396 | 13.1727 | |
| 29-09-2015 | -348 | 33.8539 | |
| 23-10-2015 | -324 | 32.6516 | |
| 03-01-2016 | -252 | -19.4715 | |
| 26-05-2016 | -120 | 15.6077 | |
| 06-08-2016 | -108 | -34.0751 | |
| 23-09-2016 | -60 | -66.3668 | |
| 10-11-2016 | -48 | -20.1385 | |
| 28-12-2016 | 0 | 0 | |
| 09-01-2017 | 12 | 49.7188 | |
| 14-02-2017 | 48 | 21.0417 | |
| 15-04-2017 | 108 | -66.7169 | |
| 09-05-2017 | 132 | -67.5277 | |
| 14-06-2017 | 168 | 10.0376 | |
| 08-07-2017 | 192 | 62.4211 | |
| 13-08-2017 | 228 | -54.623 | |
| 18-09-2017 | 252 | -12.1731 | |
| 12-10-2017 | 276 | -73.6862 | |
| 17-11-2017 | 312 | 44.9114 | |
| 11-12-2017 | 336 | 42.8753 | |
| 04-01-2018 | 360 | 829572 | |
| 2018-2019 | 04-01-2018 | -216 | -39.9495 |
| 09-02-2018 | -180 | -48.6742 | |
| 05-03-2018 | -156 | 108.632 | |
| 10-04-2018 | -120 | -15.5787 | |
| 04-05-2018 | -96 | -14.5066 | |
| 09-06-2018 | -60 | -26.4119 | |
| 03-07-2018 | -36 | 33.5122 | |
| 08-08-2018 | 0 | 0 | |
| 13-09-2018 | 36 | 9.61013 | |
| 07-10-2018 | 60 | 51.9931 | |
| 12-11-2018 | 96 | -37.9488 | |
| 06-12-2018 | 120 | 19.531 | |
| 11-01-2019 | 156 | -11.1439 | |
| 04-02-2019 | 180 | -15.9356 | |
| 12-03-2019 | 216 | -32.5269 | |
| 2019-2020 | 12-03-2019 | -264 | -18.1204 |
| 05-04-2019 | -240 | -30.4496 | |
| 11-05-2019 | -204 | 12.9326 | |
| 2019-2020 | 16-06-2019 | -168 | 79.8935 |
| 10-07-2019 | -144 | 38.3496 | |
| 03-08-2019 | -120 | 56.122 | |
| 08-09-2019 | -84 | -47.3905 | |
| 02-10-2019 | -60 | -91.0679 | |
| 07-11-2019 | -24 | -28.1256 | |
| 01-12-2019 | 0 | 0 | |
| 06-01-2020 | 36 | 60.6799 | |
| 23-02-2020 | 84 | 34.1044 | |
| 06-03-2020 | 96 | 8.25188 | |
| 2020-2021 | 06-03-2020 | -180 | -30.3446 |
| 11-04-2020 | -144 | -4634055 | |
| 05-05-2020 | -120 | 9.97058 | |
| 10-06-2020 | -84 | 2.89.32 | |
| 04-07-2020 | -60 | 66.266 | |
| 09-08-2020 | -24 | -66.2685 | |
| 02-09-2020 | 0 | 0 | |
| 08-10-2020 | 36 | -133.119 | |
| 25-11-2020 | 84 | 76.453 | |
| 19-12-2020 | 118 | -68.5192 | |
| 12-01-2021 | 132 | 46.562 | |
| 17-02-2021 | 168 | 22.8765 | |
| 13-03-2021 | 192 | 2.02861 |
| Point ID | Level point deformation rate (mm/y) | PS point Deformation rate (mm/y) | The absolute value of the error (mm) |
|---|---|---|---|
| 1J1 | -5.3 | -7.753 | 2.453 |
| 1J2 | 3.7 | 3.746 | 0.046 |
| 1J3 | -2.7 | -4.729 | 2.029 |
| 2J1 | -5.7 | -5.866 | 0.166 |
| 2J2 | -13.6 | -11.947 | 1.653 |
| 2J3 | -3.9 | -5.854 | 1.954 |
| 2J4 | 12.4 | 18.02 | 5.62 |
| 3J1 | -1.6 | 16.11 | 17.71 |
| 3J2 | -2.4 | 6.106 | 8.506 |
| 3J3 | 2.1 | -1.127 | 3.227 |
| 3J4 | -3.3 | -2.021 | 1.279 |
| SJ1 | -49.2 | -43.005 | 6.195 |
| SJ2 | -28.6 | -26.585 | 2.015 |
| SJ3 | -7.5 | -5.806 | 1.694 |
| SJ4 | -9.6 | -9.667 | 0.067 |
| SJ5 | -28 | -25.374 | 2.626 |
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