IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i13p4627-d846847.html
   My bibliography  Save this article

Predicting Mining Areas Deformations under the Condition of High Strength and Depth of Cover

Author

Listed:
  • Piotr Strzałkowski

    (Faculty of Mining, Safety Engineering and Industrial Automation, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland)

Abstract

This paper presents an analysis of mining area deformations in the rock mass consisting of high depth and strength strata deposited in the cover. The analysis of land surveying results enabled the identification of the parameters required to predict subsidence, which differed from the typical parameters for the Upper Silesian Coal Basin. The parameters of the Budryk–Knothe theory were determined based on the results of geodetic measurements. The calculations of the final state of deformations for planned mining were made using the average and characteristics for the study area parameter values. Based on experience, it is known that the range of subsidence trough depends on the mechanical properties of the rock mass. This study shows that the presence of high-strength rocks also reduces the value of the coefficient of roof control. Subsequently, calculations were made by a computer simulation of longwall mining to determine the course of indices of deformation over time. The calculations were conducted twice: on the assumption that the impact was immediate and on the assumption of the parameter values typical for the basin, and formula expressing the course of subsidence over time with the parameter values based on the measurement results. The obtained distributions of deformation indicators were diametrically opposed to each other. The results of the calculations with the parameter values appropriate for the region indicate that it is possible to carry out a planned mining operation without creating a risk to objects on the surface.

Suggested Citation

  • Piotr Strzałkowski, 2022. "Predicting Mining Areas Deformations under the Condition of High Strength and Depth of Cover," Energies, MDPI, vol. 15(13), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4627-:d:846847
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/13/4627/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/13/4627/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Artur Guzy & Wojciech T. Witkowski, 2021. "Land Subsidence Estimation for Aquifer Drainage Induced by Underground Mining," Energies, MDPI, vol. 14(15), pages 1-36, July.
    2. Bingchao Zhao & Yaxin Guo & Xuwei Mao & Di Zhai & Defu Zhu & Yuming Huo & Zedong Sun & Jingbin Wang, 2022. "Prediction Method for Surface Subsidence of Coal Seam Mining in Loess Donga Based on the Probability Integration Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
    3. Jihuan Han & Jiuqun Zou & Chenchen Hu & Weihao Yang, 2019. "Study on Size Design of Shaft Protection Rock/Coal Pillars in Thick Soil and Thin Rock Strata," Energies, MDPI, vol. 12(13), pages 1-17, July.
    4. Gang Li & Qinghe Yang, 2020. "Corrigendum to “Prediction of Mining Subsidence in Shallow Coal Seam”," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-1, September.
    5. Zhanjie Feng & Wenbing Guo & Feiya Xu & Daming Yang & Weiqiang Yang, 2019. "Control Technology of Surface Movement Scope with Directional Hydraulic Fracturing Technology in Longwall Mining: A Case Study," Energies, MDPI, vol. 12(18), pages 1-18, September.
    6. Bin Zhang & Jiacheng Ye & Zhongjian Zhang & Liang Xu & Nengxiong Xu, 2019. "A Comprehensive Method for Subsidence Prediction on Two-Seam Longwall Mining," Energies, MDPI, vol. 12(16), pages 1-18, August.
    7. Gang Li & Qinghe Yang, 2020. "Prediction of Mining Subsidence in Shallow Coal Seam," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-9, February.
    8. Wenbing Guo & Mingjie Guo & Yi Tan & Erhu Bai & Gaobo Zhao, 2019. "Sustainable Development of Resources and the Environment: Mining-Induced Eco-Geological Environmental Damage and Mitigation Measures—A Case Study in the Henan Coal Mining Area, China," Sustainability, MDPI, vol. 11(16), pages 1-34, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hesam Dehghani & Marc Bascompta & Ali Asghar Khajevandi & Kiana Afshar Farnia, 2023. "A Mimic Model Approach for Impact Assessment of Mining Activities on Sustainable Development Indicators," Sustainability, MDPI, vol. 15(3), pages 1-15, February.
    2. André Vervoort, 2020. "The Time Duration of the Effects of Total Extraction Mining Methods on Surface Movement," Energies, MDPI, vol. 13(16), pages 1-12, August.
    3. Xiaoping Shao & Xin Li & Long Wang & Zhiyu Fang & Bingchao Zhao & Ershuai Liu & Yeqing Tao & Lang Liu, 2020. "Study on the Pressure-Bearing Law of Backfilling Material Based on Three-Stage Strip Backfilling Mining," Energies, MDPI, vol. 13(1), pages 1-16, January.
    4. Magdalena Tutak, 2019. "The Influence of the Permeability of the Fractures Zone Around the Heading on the Concentration and Distribution of Methane," Sustainability, MDPI, vol. 12(1), pages 1-24, December.
    5. Bingchao Zhao & Yaxin Guo & Xuwei Mao & Di Zhai & Defu Zhu & Yuming Huo & Zedong Sun & Jingbin Wang, 2022. "Prediction Method for Surface Subsidence of Coal Seam Mining in Loess Donga Based on the Probability Integration Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
    6. Longjun Dong & Yanlin Zhao & Wenxue Chen, 2022. "Mining Safety and Sustainability—An Overview," Sustainability, MDPI, vol. 14(11), pages 1-6, May.
    7. Chenyang Wu & Yichen Zhang & Jiquan Zhang & Yanan Chen & Chenyu Duan & Jiawei Qi & Zhongshuai Cheng & Zengkai Pan, 2022. "Comprehensive Evaluation of the Eco-Geological Environment in the Concentrated Mining Area of Mineral Resources," Sustainability, MDPI, vol. 14(11), pages 1-19, June.
    8. Pan Wu & Guoyan Zhao & Yang Li, 2022. "Green Mining Strategy Selection via an Integrated SWOT-PEST Analysis and Fuzzy AHP-MARCOS Approach," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    9. Huaiting Luo & Wei Zhou & Izhar Mithal Jiskani & Zhiming Wang, 2021. "Analyzing Characteristics of Particulate Matter Pollution in Open-Pit Coal Mines: Implications for Green Mining," Energies, MDPI, vol. 14(9), pages 1-19, May.
    10. Yanhui Guo & Luo Luo & Rui Ma & Shunyin Li & Wei Zhang & Chuangye Wang, 2023. "Study on Surface Deformation and Movement Caused by Deep Continuous Mining of Steeply Inclined Ore Bodies," Sustainability, MDPI, vol. 15(15), pages 1-23, August.
    11. Margarida Casau & Diana C. M. Cancela & João C. O. Matias & Marta Ferreira Dias & Leonel J. R. Nunes, 2021. "Coal to Biomass Conversion as a Path to Sustainability: A Hypothetical Scenario at Pego Power Plant (Abrantes, Portugal)," Resources, MDPI, vol. 10(8), pages 1-20, August.
    12. Bingchao Zhao & Yaxin Guo & Wei Wang & Shenglin He, 2023. "Impact of Underground Coal Seam Mining on Stability and Slippage of the Loess Slope," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    13. Shuang Gong & Shibin Yao & Furui Xi & Juan Liu & Xingyang Ren & Dengyun Niu & Jiaxing Ding & Hao Zhang & Jingkuo Wang & Shuai Wang, 2022. "A Comparison of Research Methods to Determine the Sustainability of Mineral Resources in Henan Province Based on Cloud Analysis," Sustainability, MDPI, vol. 14(23), pages 1-20, November.
    14. Qingjie Qi & Bingqian Yan & Wengang Liu & Bo Zhang & Jianzhong Liu, 2022. "Study on the Mechanism and Chain Generation Relationship of Geological Disaster Secondary Coal Mine Accidents," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    15. Leszek Chomacki & Janusz Rusek & Leszek Słowik, 2022. "Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines," Energies, MDPI, vol. 15(11), pages 1-23, May.
    16. Rasa Smaliukiene & Svajone Bekesiene, 2020. "Towards Sustainable Human Resources: How Generational Differences Impact Subjective Wellbeing in the Military?," Sustainability, MDPI, vol. 12(23), pages 1-21, November.
    17. Ranjan, Ram, 2022. "Optimal restoration of common property resources under uncertainty," Resources Policy, Elsevier, vol. 77(C).
    18. Xiuchang Shi & Jixing Zhang, 2021. "Characteristics of Overburden Failure and Fracture Evolution in Shallow Buried Working Face with Large Mining Height," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    19. Dawid Szurgacz & Magdalena Tutak & Jarosław Brodny & Leszek Sobik & Olga Zhironkina, 2020. "The Method of Combating Coal Spontaneous Combustion Hazard in Goafs—A Case Study," Energies, MDPI, vol. 13(17), pages 1-22, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4627-:d:846847. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.