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

Author

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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)

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.

Suggested Citation

  • Zhen Du & Li Feng & Haiheng Wang & Ying Dong & Da Luo & Xu Zhang & Hao Liu & Maosheng Zhang, 2023. "Identification of Ground Deformation Patterns in Coal Mining Areas via Rapid Topographical Analysis," Land, MDPI, vol. 12(6), pages 1-18, June.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:6:p:1221-:d:1169465
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    References listed on IDEAS

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    1. Michel Jaboyedoff & Thierry Oppikofer & Antonio Abellán & Marc-Henri Derron & Alex Loye & Richard Metzger & Andrea Pedrazzini, 2012. "Use of LIDAR in landslide investigations: a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(1), pages 5-28, March.
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    Cited by:

    1. Fengyu Wang & Shuai Tong & Yun Chu & Tianlong Liu & Xiang Ji, 2023. "Spatio-Temporal Evolution of Key Areas of Territorial Ecological Restoration in Resource-Exhausted Cities: A Case Study of Jiawang District, China," Land, MDPI, vol. 12(9), pages 1-25, September.

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