Identification of Ground Deformation Patterns in Coal Mining Areas via Rapid Topographical Analysis

Zhen Du, Li Feng (), Haiheng Wang, Ying Dong, Da Luo, Xu Zhang, Hao Liu and Maosheng Zhang ()
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Zhen Du: School of Human Settlement Environment and Civil Engineering, Xi‘an Jiaotong University, Xi’an 712000, China
Li Feng: School of Human Settlement Environment and Civil Engineering, Xi‘an Jiaotong University, Xi’an 712000, China
Haiheng Wang: Software Engineering Center, The First Institute of Geographic Information Surveying and Mapping, Ministry of Natural Resources, Xi’an 710054, China
Ying Dong: Key Laboratory of Loess Geological Hazards, Ministry of Natural Resources, Xi’an 710054, China
Da Luo: Shaanxi Key Laboratory of Ecological Restoration in North Shaanxi Mining Area, College of Life Sciences, Yulin University, Yulin 719000, China
Xu Zhang: School of Human Settlement Environment and Civil Engineering, Xi‘an Jiaotong University, Xi’an 712000, China
Hao Liu: School of Human Settlement Environment and Civil Engineering, Xi‘an Jiaotong University, Xi’an 712000, China
Maosheng Zhang: School of Human Settlement Environment and Civil Engineering, Xi‘an Jiaotong University, Xi’an 712000, China

Land, 2023, vol. 12, issue 6, 1-18

Abstract: Coal mining inevitably brings some negative impacts, such as surface subsidence, aquifer breakage, and land degradation, to the eco-geological environment in the mining area. Among these impacts, coal mining-induced ground deformation is the most serious and has threatened the geological, ecological, and human settlement securities of mining areas. Efforts existing in the literature apply to ground deformation identification in mined-out areas at the meso-/micro and short-time scales. However, when looking back at coal mining history, there are few ways to quickly and accurately quantify ground deformation at the regional and long-time scales. In this context, we propose a method for identifying ground deformation patterns in coal mining areas using historical high-precision digital elevation models (DEMs), including data preprocessing, DEM subtraction operations, interpretation, and fitting correction. This method was applied to the Yulin National Energy and Chemical Base and successfully identified the ground deformation characteristics of the Yulin coal mining area from 2015 to 2019. By determining surface subsidence displacement, excavation depth, stacking height, and the position of the goaf suspended roof area, the objective situation of ground deformation in Yulin mining area was obtained, and the mining methods and distribution characteristics of different surface deformations were analyzed and determined. The research results are of great significance for the development of mineral resources in mining areas, reducing geological disaster risks, protecting the ecological environment, and achieving the goal of coordinated development in mining areas.

Keywords: coal mining; ground deformation; elevation difference calculation; image interpretation; morphological patterns (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:6:p:1221-:d:1169465

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