A review of monitoring, calculation, and simulation methods for ground subsidence induced by coal mining

Subsidence data acquisition methods are crucial to mining subsidence research and an essential component of achieving the goal of environmentally friendly coal mining. The origin and history of the existing methods of field monitoring, calculation, and simulation were introduced. It summarized and a...

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Vydáno v:International journal of coal science & technology Ročník 10; číslo 1; s. 32 - 23
Hlavní autoři: Cai, Yinfei, Jin, Yutian, Wang, Zuoyang, Chen, Tao, Wang, Yaru, Kong, Weiyu, Xiao, Wu, Li, Xiaojing, Lian, Xugang, Hu, Haifeng
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 01.12.2023
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ISSN:2095-8293, 2198-7823
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Abstract Subsidence data acquisition methods are crucial to mining subsidence research and an essential component of achieving the goal of environmentally friendly coal mining. The origin and history of the existing methods of field monitoring, calculation, and simulation were introduced. It summarized and analyzed the main applications, flaws and solutions, and improvements of these methods. Based on this analysis, the future developing directions of subsidence data acquisition methods were prospected and suggested. The subsidence monitoring methods have evolved from conventional ground monitoring to combined methods involving ground-based, space-based, and air-based measurements. While the conventional methods are mature in technology and reliable in accuracy, emerging remote sensing technologies have obvious advantages in terms of reducing field workload and increasing data coverage. However, these remote sensing methods require further technological development to be more suitable for monitoring mining subsidence. The existing subsidence calculation methods have been applied to various geological and mining conditions, and many improvements have already been made. In the future, more attention should be paid to unifying the studies of calculation methods and mechanical principles. The simulation methods are quite dependent on the similarity of the model to the site conditions and are generally used as an auxiliary data source for subsidence studies. The cross-disciplinary studies between subsidence data acquisition methods and other technologies should be given serious consideration, as they can be expected to lead to breakthroughs in areas such as theories, devices, software, and other aspects.
AbstractList Subsidence data acquisition methods are crucial to mining subsidence research and an essential component of achieving the goal of environmentally friendly coal mining. The origin and history of the existing methods of field monitoring, calculation, and simulation were introduced. It summarized and analyzed the main applications, flaws and solutions, and improvements of these methods. Based on this analysis, the future developing directions of subsidence data acquisition methods were prospected and suggested. The subsidence monitoring methods have evolved from conventional ground monitoring to combined methods involving ground-based, space-based, and air-based measurements. While the conventional methods are mature in technology and reliable in accuracy, emerging remote sensing technologies have obvious advantages in terms of reducing field workload and increasing data coverage. However, these remote sensing methods require further technological development to be more suitable for monitoring mining subsidence. The existing subsidence calculation methods have been applied to various geological and mining conditions, and many improvements have already been made. In the future, more attention should be paid to unifying the studies of calculation methods and mechanical principles. The simulation methods are quite dependent on the similarity of the model to the site conditions and are generally used as an auxiliary data source for subsidence studies. The cross-disciplinary studies between subsidence data acquisition methods and other technologies should be given serious consideration, as they can be expected to lead to breakthroughs in areas such as theories, devices, software, and other aspects.
Abstract Subsidence data acquisition methods are crucial to mining subsidence research and an essential component of achieving the goal of environmentally friendly coal mining. The origin and history of the existing methods of field monitoring, calculation, and simulation were introduced. It summarized and analyzed the main applications, flaws and solutions, and improvements of these methods. Based on this analysis, the future developing directions of subsidence data acquisition methods were prospected and suggested. The subsidence monitoring methods have evolved from conventional ground monitoring to combined methods involving ground-based, space-based, and air-based measurements. While the conventional methods are mature in technology and reliable in accuracy, emerging remote sensing technologies have obvious advantages in terms of reducing field workload and increasing data coverage. However, these remote sensing methods require further technological development to be more suitable for monitoring mining subsidence. The existing subsidence calculation methods have been applied to various geological and mining conditions, and many improvements have already been made. In the future, more attention should be paid to unifying the studies of calculation methods and mechanical principles. The simulation methods are quite dependent on the similarity of the model to the site conditions and are generally used as an auxiliary data source for subsidence studies. The cross-disciplinary studies between subsidence data acquisition methods and other technologies should be given serious consideration, as they can be expected to lead to breakthroughs in areas such as theories, devices, software, and other aspects.
ArticleNumber 32
Audience Academic
Author Lian, Xugang
Wang, Zuoyang
Jin, Yutian
Chen, Tao
Kong, Weiyu
Li, Xiaojing
Wang, Yaru
Xiao, Wu
Cai, Yinfei
Hu, Haifeng
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  fullname: Cai, Yinfei
  email: caiyinfei@tyut.edu.cn
  organization: College of Mining Engineering, Taiyuan University of Technology
– sequence: 2
  givenname: Yutian
  surname: Jin
  fullname: Jin, Yutian
  organization: College of Mining Engineering, Taiyuan University of Technology
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  surname: Wang
  fullname: Wang, Zuoyang
  organization: College of Mining Engineering, Taiyuan University of Technology
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  givenname: Tao
  surname: Chen
  fullname: Chen, Tao
  organization: College of Mining Engineering, Taiyuan University of Technology
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  surname: Wang
  fullname: Wang, Yaru
  organization: College of Mining Engineering, Taiyuan University of Technology
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  fullname: Xiao, Wu
  organization: School of Public Affairs, Zhejiang University
– sequence: 8
  givenname: Xiaojing
  surname: Li
  fullname: Li, Xiaojing
  organization: School of Public Administration, Shanxi University of Finance and Economics
– sequence: 9
  givenname: Xugang
  surname: Lian
  fullname: Lian, Xugang
  organization: College of Mining Engineering, Taiyuan University of Technology
– sequence: 10
  givenname: Haifeng
  surname: Hu
  fullname: Hu, Haifeng
  organization: College of Mining Engineering, Taiyuan University of Technology
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Keywords Mining subsidence
Subsidence simulation
Subsidence calculation
Subsidence monitoring
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Snippet Subsidence data acquisition methods are crucial to mining subsidence research and an essential component of achieving the goal of environmentally friendly coal...
Abstract Subsidence data acquisition methods are crucial to mining subsidence research and an essential component of achieving the goal of environmentally...
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StartPage 32
SubjectTerms Analysis
Coal industry
Coal mining
Data acquisition
Energy
Fossil Fuels (incl. Carbon Capture)
Geotechnical Engineering & Applied Earth Sciences
Mineral industry
Mineral Resources
Mining industry
Mining subsidence
Monitoring methods
Remote sensing
Review
Simulation
Simulation methods
Subsidence
Subsidence calculation
Subsidence monitoring
Subsidence simulation
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Title A review of monitoring, calculation, and simulation methods for ground subsidence induced by coal mining
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