Underground mine deformation monitoring using Synthetic Aperture Radar technique: A case study of Rajgamar coal mine of Korba Chhattisgarh, India

Monika, .; Govil, Himanshu; Guha, Subhanil

doi:10.1016/j.jappgeo.2022.104899

Cited by 9 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1 Further strengthen the monitoring of surface subsidence; 2 Multi-point feeding and sub-filling are adopted to ensure that stope filling is connected to the top; 3 Strengthen the exploration of the weathering zone, ensure that the upper part of the ore body is left with a 25 m thick roof pillar, and grouting is carried out on the weathering zone work hole to block the fissure water gushing channel.…”

Section: Discussionmentioning

confidence: 99%

“…where: R-Uniaxial compressive strength of rock, MPa; P-Maximum damage load, kN; A-The cross-sectional area of the sample perpendicular to the loading direction, cm 2 . 3 Splitting tensile test Objective: To measure the tensile strength of rock. The specification: Diameter × height = 50 mm × 50 mm; the loading speed is 5 mm/50 s; The following formula is used to calculate the tensile strength of rock:…”

Section: Laboratory Experiment-determination Of Reconstruction Parame...mentioning

confidence: 99%

“…However, with the continuous mining of mine resources, the underground resources are constantly increased, resulting in the increasing scope of underground goaf, which leads to the redistribution of stress in the surrounding rock of the roadway and may cause surface deformation [2]. In severe cases, it may induce the collapse of surface structures and other serious consequences [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impacts of Surface Deformation Induced by Underground Mining of Metal Mines on Above-Ground Structures: A Case Study

Liu,

Li,

Wang

et al. 2023

Minerals

View full text Add to dashboard Cite

The surface deformation caused by underground mining seriously affects the normal life and personal safety of local residents and also causes unfavorable factors for the safe and efficient exploitation of underground resources. While the study of surface deformation caused by underground mining of metal mines requires a large amount of measured data as support, the measured data is particularly scarce, which severely hinders the study of surface deformation caused by underground mining. In this paper, in order to study the impact of underground mining on surface structures in metal mines, we take the Fu Lao Zhuang Iron Mine in Anhui Province, China, as the research object and put forward a comprehensive measurement method based on the flat plate beam theory. Using empirical formulas combined with the methods of thickness-to-span ratio and the relaxation coefficient, etc., we carry out numerical simulation calculations for the displacement of the surface triggered by the mining of the ore body by using FLAC3D software. We calculate the maximum inclination deformation, curvature, and horizontal deformation values of the ground surface by referring to the displacement and deformation with reference to the displacement and deformation formula; the maximum tilt deformation, curvature, and horizontal deformation values of the ground surface are calculated, and finally, the permissible values of the design specifications are combined to make a judgment. The research results of this paper put forward the prerequisite for improving the surface deformation induced by underground mining.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Laboratory Experiment-determination Of Reconstruction Parame...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of Surface Deformation Induced by Underground Mining of Metal Mines on Above-Ground Structures: A Case Study

Liu,

Li,

Wang

et al. 2023

Minerals

View full text Add to dashboard Cite

show abstract

“…The interferometric phase (ϕInt) is composed of several phase components, including the phase due to deformation (ϕDef), the atmospheric phase resulting from variations in atmospheric delay at the two acquisition times (ϕAtm), the phase component related to Earth's curvature (ϕCurv), the phase component associated with topography (∆ϕTopo) and the noise term due to decorrelation (ϕNoise) [71]. In order to obtain the contribution of deformation to the interferometric phase, it is necessary to calculate and subtract all of the relevant features from the interferogram, thus producing differential interferograms [72].…”

Section: Interferometric Synthetic Aperture Radar (Insar)mentioning

confidence: 99%

Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran

Gharechaee

Samani

Sigaroodi

et al. 2023

Land

View full text Add to dashboard Cite

Most published studies identify groundwater extraction as the leading cause of land subsidence (LS). However, the causes of LS are not only attributable to groundwater extraction. Other land-use practices can also affect the occurrence of LS. In this study, radar interferometric techniques and machine learning (ML) models were used for the prediction, susceptibility zoning, and prioritization of influential variables in the occurrence of LS in the Bakhtegan basin. The LS rate was characterized by applying an interferometric synthetic aperture radar (InSAR). The recursive feature elimination (RFE) method was used to detect and select the dominant combination of indicators to prepare an LS susceptibility map. Three ML models, including random forest (RF), k-nearest neighbors (KNN), and classification and regression trees (CART), were used to develop predictive models. All three models had acceptable performance. Among the ML models, the RF model performed the best (i.e., Nash–Sutcliffe efficiency, Kling–Gupta efficiency, correlation coefficient, and percent bias metrics of 0.76, 0.78, 0.88, and 0.70 for validating phase, respectively). The analysis conducted on all three ML model outputs showed that high and very high LS susceptibility classes were located on or near irrigated agricultural land. The results indicate that the leading cause of land LS in the study region is not due to groundwater withdrawals. Instead, the distance from dams and the proximity to anticlines, faults, and mines are the most important identifiers of LS susceptibility. Additionally, the highest probability of LS susceptibility was found at distances less than 18 km from synclines, 6 to 13 km from anticlines, 23 km from dams, and distances less than 20 to more than 144 km from mines. The validated methods presented in this study are reproducible, transferrable, and recommended for mapping LS susceptibility in semiarid and arid climate zones with similar environmental conditions.

show abstract

“…The mining (coal, stone, or Karstic) causes UG voids (man-made or natural), relatively adjacent to the earth's crust surface. The areas in Raniganj, Jharna, Bailadila, Talcher, Sukinda mines, and Rajgamar coal mines of Korba [44,45].…”

Section: Subsidence In Mining Areas: Mining Activity Inmentioning

confidence: 99%

The Geohazard as Land Subsidence in Anthropocene, India

Mishra

2023

JGEESI

View full text Add to dashboard Cite

Land subsidence events, natural or anthropogenic, will be future national challenges for India. The positioning of the Indian plate in the globe, and human activities on the frustum compel land subsidence everywhere, on mountains, in deltas, riverbeds and in settlements. Many mega deltas of the globe including India are sinking, shrinking, and subsiding which shall invite catastrophes. The present search uses the available datasets in print media, books, information technology and electronic media. The survey responses sourced from websites were physically ground verified, etc. Considering Bhuban data, Arc GIS software and Microsoft Excel, India's hazard, organic and inorganic maps are prepared to alert our forthcoming ancestors. Using those maps the zonal map of geo-hazards in various states of India can be prepared and future action plans can be shorted out. Studies reveal that geo-hazards in various zones of India are different. Hazards on mountains are land slide, torrential rain, and land subsidence, whereas the calamities along the coasts, and deltas are cyclones, coastal erosions, floods, and deltaic subsidence. With surging human activities, the frequency and intensity of geo-hazards are swelling presently. It is high time to plan to appease the vulnerability of the rising devastation to attain sustainability of SDG Targets 11.5, and 13 which will moderate the adverse effects of such disasters.

show abstract

Underground mine deformation monitoring using Synthetic Aperture Radar technique: A case study of Rajgamar coal mine of Korba Chhattisgarh, India

Cited by 9 publications

References 29 publications

Impacts of Surface Deformation Induced by Underground Mining of Metal Mines on Above-Ground Structures: A Case Study

Impacts of Surface Deformation Induced by Underground Mining of Metal Mines on Above-Ground Structures: A Case Study

Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran

The Geohazard as Land Subsidence in Anthropocene, India

Contact Info

Product

Resources

About