Prediction of mining-induced subsidence at Barapukuria longwall coal mine, Bangladesh
Abstract It is essential to predict the mining-induced subsidence for sustainable mine management. The maximum observed subsidence having a noticeable areal extent due to Northern Upper Panels (NUP) and Southern Lower Panels (SLP) at the Barapukuria longwall coal mine is 5.8 m and 4.2 m, respectivel...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-08-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-19160-1 |
_version_ | 1811274927253225472 |
---|---|
author | A. K. M. Badrul Alam Yoshiaki Fujii Shaolin Jahan Eidee Sophea Boeut Afikah Binti Rahim |
author_facet | A. K. M. Badrul Alam Yoshiaki Fujii Shaolin Jahan Eidee Sophea Boeut Afikah Binti Rahim |
author_sort | A. K. M. Badrul Alam |
collection | DOAJ |
description | Abstract It is essential to predict the mining-induced subsidence for sustainable mine management. The maximum observed subsidence having a noticeable areal extent due to Northern Upper Panels (NUP) and Southern Lower Panels (SLP) at the Barapukuria longwall coal mine is 5.8 m and 4.2 m, respectively, after the extraction of a 10 m thick coal seam. The mining-induced subsidence was simulated by the Displacement Discontinuity Method. The numerical model considered the effects of the ground surface, mining panels, faults, and the dyke. The predicted and the observed subsidence due to the mining of NUP and SLP were compared by varying Young's modulus, and the 0.10 GPa Young's modulus was found to be the best match in the geo-environmental condition. The effects of the faults and the dyke in the calculation were negligible. Future subsidence was predicted by considering 30 m extraction of the thick coal seam as 15.7–17.5 m in NUP and 8.7–10.5 m in SLP. The vulnerable areas demarcated considering the tilt angle and extensile strain might extend up to the coal mine office area and some villages. |
first_indexed | 2024-04-12T23:27:55Z |
format | Article |
id | doaj.art-2ae3fffb75964a8db8729281ec88a618 |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-04-12T23:27:55Z |
publishDate | 2022-08-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Reports |
spelling | doaj.art-2ae3fffb75964a8db8729281ec88a6182022-12-22T03:12:21ZengNature PortfolioScientific Reports2045-23222022-08-0112111210.1038/s41598-022-19160-1Prediction of mining-induced subsidence at Barapukuria longwall coal mine, BangladeshA. K. M. Badrul Alam0Yoshiaki Fujii1Shaolin Jahan Eidee2Sophea Boeut3Afikah Binti Rahim4Department of Petroleum and Mining Engineering, Faculty of Civil Engineering, MISTFaculty of Engineering, Hokkaido UniversityDepartment of Petroleum and Mining Engineering, Faculty of Civil Engineering, MISTInstitute of Technology of CambodiaSchool of Civil Engineering, Universiti Teknologi MalaysiaAbstract It is essential to predict the mining-induced subsidence for sustainable mine management. The maximum observed subsidence having a noticeable areal extent due to Northern Upper Panels (NUP) and Southern Lower Panels (SLP) at the Barapukuria longwall coal mine is 5.8 m and 4.2 m, respectively, after the extraction of a 10 m thick coal seam. The mining-induced subsidence was simulated by the Displacement Discontinuity Method. The numerical model considered the effects of the ground surface, mining panels, faults, and the dyke. The predicted and the observed subsidence due to the mining of NUP and SLP were compared by varying Young's modulus, and the 0.10 GPa Young's modulus was found to be the best match in the geo-environmental condition. The effects of the faults and the dyke in the calculation were negligible. Future subsidence was predicted by considering 30 m extraction of the thick coal seam as 15.7–17.5 m in NUP and 8.7–10.5 m in SLP. The vulnerable areas demarcated considering the tilt angle and extensile strain might extend up to the coal mine office area and some villages.https://doi.org/10.1038/s41598-022-19160-1 |
spellingShingle | A. K. M. Badrul Alam Yoshiaki Fujii Shaolin Jahan Eidee Sophea Boeut Afikah Binti Rahim Prediction of mining-induced subsidence at Barapukuria longwall coal mine, Bangladesh Scientific Reports |
title | Prediction of mining-induced subsidence at Barapukuria longwall coal mine, Bangladesh |
title_full | Prediction of mining-induced subsidence at Barapukuria longwall coal mine, Bangladesh |
title_fullStr | Prediction of mining-induced subsidence at Barapukuria longwall coal mine, Bangladesh |
title_full_unstemmed | Prediction of mining-induced subsidence at Barapukuria longwall coal mine, Bangladesh |
title_short | Prediction of mining-induced subsidence at Barapukuria longwall coal mine, Bangladesh |
title_sort | prediction of mining induced subsidence at barapukuria longwall coal mine bangladesh |
url | https://doi.org/10.1038/s41598-022-19160-1 |
work_keys_str_mv | AT akmbadrulalam predictionofmininginducedsubsidenceatbarapukurialongwallcoalminebangladesh AT yoshiakifujii predictionofmininginducedsubsidenceatbarapukurialongwallcoalminebangladesh AT shaolinjahaneidee predictionofmininginducedsubsidenceatbarapukurialongwallcoalminebangladesh AT sopheaboeut predictionofmininginducedsubsidenceatbarapukurialongwallcoalminebangladesh AT afikahbintirahim predictionofmininginducedsubsidenceatbarapukurialongwallcoalminebangladesh |