Spatiotemporal subsidence over Pabdana coal mine Kerman Province, central Iran using time-series of Sentinel-1 remote sensing imagery

Publication date

2023-03-01

Authors

Mehrabi, Ali
Derakhshani, RezaORCID 0000-0001-7499-4384ISNI 0000000512522591
Nilfouroushan, Faramarz
Rahnamarad, Jafar
Azarafza, Mohammad

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

cc_by_nc

Abstract

Environmental monitoring of mining regions using satellite imagery is crucial for sustainable exploitation and preventing geohazards. Movements due to the failure of the roof in underground coal mining, by migrating upwards and outwards from the seam being mined, could eventually appear as ground deformation. To investigate the matter further, the surface deformation that occurred over the Pabdana mining area was monitored in three time periods, between October 2, 2014, and July 27, 2019. Persistent scatterer interferometry (PSI) was used based on 150 ascending and descending Sentinel-1A images. The maximum mining subsidence rate during the studied periods was about 30 to 35 mm/yr. The PSI analysis shows that the subsidence rate varied both temporally and spatially during the three studied periods. The time series and the displacement rate for various cross-sections highlight a clear quantitative relationship between coal extraction progress and subsidence, which proceeded southward throughout the three study periods. So, considering coal mining subsidence as a geohazard, land developments and structures over the mining area may be safeguarded. The approach used in this investigation can be implemented in other similar coal mining zones.

Keywords

Block, Ground deformation, Insar, Interferometry, Mining subsidence, Paleogeography, Prediction, Surface subsidence, Water, West, General Earth and Planetary Sciences

Citation

Mehrabi, A, Derakhshani, R, Nilfouroushan, F, Rahnamarad, J & Azarafza, M 2023, 'Spatiotemporal subsidence over Pabdana coal mine Kerman Province, central Iran using time-series of Sentinel-1 remote sensing imagery', Episodes, vol. 46, no. 1, pp. 19-33. https://doi.org/10.18814/epiiugs/2022/022009