IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i5p1636-d147884.html
   My bibliography  Save this article

Prediction of the Heights of the Water-Conducting Fracture Zone in the Overlying Strata of Shortwall Block Mining Beneath Aquifers in Western China

Author

Listed:
  • Yun Zhang

    (State Key Laboratory of Coal Resources & Safe Mining, School of Mines, China University of Mining & Technology, Xuzhou 221116, China)

  • Shenggen Cao

    (State Key Laboratory of Coal Resources & Safe Mining, School of Mines, China University of Mining & Technology, Xuzhou 221116, China)

  • Rui Gao

    (State Key Laboratory of Coal Resources & Safe Mining, School of Mines, China University of Mining & Technology, Xuzhou 221116, China)

  • Shuai Guo

    (State Key Laboratory for Geomechanics & Deep Underground Engineering, China University of Mining & Technology, Xuzhou 221116, China)

  • Lixin Lan

    (State Key Laboratory of Coal Resources & Safe Mining, School of Mines, China University of Mining & Technology, Xuzhou 221116, China)

Abstract

Longwall mining leaves pillars and irregular blocks of coal behind in its aftermath. In this study, a shortwall block mining (SBM) technique for recovering these coal resources has been proposed. A mechanical analysis model for calculating the heights of the water-conducting fracture zone (HWFZ) in overlying strata of SBM was established based on the theory of beams on elastic foundations. Using this model and the data acquired from a working face in the experimental area, a height of 50.30 m was calculated for HWFZ corresponding to this working face. This observation indicates that the equation for predicting HWFZ in working faces specified by the Hydrogeological Procedures for Mines (HPM) standard is not suitable for application in SBM. For this reason, the Universal Distinct Element Code (UDEC) modeling program was used to analyze the developmental behavior of the water-conducting fracture zone under various determining factors in SBM. The UDEC simulations indicated that the HWFZ increase linearly with an increase in mining height, decrease linearly with an increase in the width of the protective coal pillars, and increase logarithmically with block length. A nonlinear regression analysis of HWFZ was performed using the SPSS software suite, from which a model for predicting HWFZ in SBM was constructed. This model predicted that the HWFZ was 52.58 m in the experimental area, while field measurements yielded HWFZ values varying from 47.98 to 50.06 m, which was basically consistent with the results of the prediction model and the mechanical model, thus confirming the accuracy of the mechanical model and the reliability of the regression model. The results of this study will provide critical practical references for the enhancement of coal recovery rates in mining areas and enhance theories on aquifer protection during mining operations.

Suggested Citation

  • Yun Zhang & Shenggen Cao & Rui Gao & Shuai Guo & Lixin Lan, 2018. "Prediction of the Heights of the Water-Conducting Fracture Zone in the Overlying Strata of Shortwall Block Mining Beneath Aquifers in Western China," Sustainability, MDPI, vol. 10(5), pages 1-20, May.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1636-:d:147884
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/5/1636/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/10/5/1636/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yun Zhang & Shenggen Cao & Lixin Lan & Rui Gao & Hao Yan, 2017. "Analysis of Development Pattern of a Water-Flowing Fissure Zone in Shortwall Block Mining," Energies, MDPI, vol. 10(5), pages 1-13, May.
    2. Feng Du & Rui Gao, 2017. "Development Patterns of Fractured Water-Conducting Zones in Longwall Mining of Thick Coal Seams—A Case Study on Safe Mining Under the Zhuozhang River," Energies, MDPI, vol. 10(11), pages 1-16, November.
    3. Wei Zhang & Dong-Sheng Zhang & Li-Xin Wu & Hong-Zhi Wang, 2014. "On-Site Radon Detection of Mining-induced Fractures from Overlying Strata to the Surface: A Case Study of the Baoshan Coal Mine in China," Energies, MDPI, vol. 7(12), pages 1-25, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Changfang Guo & Zhen Yang & Shen Li & Jinfu Lou, 2020. "Predicting the Water-Conducting Fracture Zone (WCFZ) Height Using an MPGA-SVR Approach," Sustainability, MDPI, vol. 12(5), pages 1-15, February.

    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. Yun Zhang & Shenggen Cao & Lixin Lan & Rui Gao & Hao Yan, 2017. "Analysis of Development Pattern of a Water-Flowing Fissure Zone in Shortwall Block Mining," Energies, MDPI, vol. 10(5), pages 1-13, May.
    2. Yaokun Fu & Jianxuan Shang & Zhenqi Hu & Pengyu Li & Kun Yang & Chao Chen & Jiaxin Guo & Dongzhu Yuan, 2021. "Ground Fracture Development and Surface Fracture Evolution in N00 Method Shallowly Buried Thick Coal Seam Mining in an Arid Windy and Sandy Area: A Case Study of the Ningtiaota Mine (China)," Energies, MDPI, vol. 14(22), pages 1-18, November.
    3. Peng Li & Xufeng Wang & Wenhao Cao & Dongsheng Zhang & Dongdong Qin & Hongzhi Wang, 2018. "Influence of Spatial Relationships between Key Strata on the Height of Mining-Induced Fracture Zone: A Case Study of Thick Coal Seam Mining," Energies, MDPI, vol. 11(1), pages 1-11, January.
    4. Huiyong Yin & Fangying Dong & Yiwen Zhang & Wenju Cheng & Peihe Zhai & Xuyan Ren & Ziang Liu & Yutao Zhai & Xin Li, 2022. "Height Prediction and 3D Visualization of Mining-Induced Water-Conducting Fracture Zone in Western Ordos Basin Based on a Multi-Factor Regression Analysis," Energies, MDPI, vol. 15(11), pages 1-16, May.
    5. Weiyong Lu & Changchun He & Xin Zhang, 2020. "Height of overburden fracture based on key strata theory in longwall face," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-15, January.
    6. Ziwei Ding & Shaoyi Wang & Jinglong Liao & Liang Li & Jindui Jia & Qingbao Tang & Xiaofei Li & Chengdeng Gao, 2023. "Reasonable Working-Face Size Based on Full Mining of Overburden Failure," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
    7. Yang Li & Xinghai Lei & Nan Wang & Yuqi Ren & Xiangyang Jin & Guoshuai Li & Tiezheng Li & Xiangji Ou, 2023. "Study on the failure characteristics of overburden and the evolution law of seepage field in deep buried thick coal seam under aquifers," 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. 118(2), pages 1035-1064, September.
    8. Qingxiang Huang & Yanpeng He & Jian Cao, 2019. "Experimental Investigation on Crack Development Characteristics in Shallow Coal Seam Mining in China," Energies, MDPI, vol. 12(7), pages 1-16, April.
    9. Timofey Leshukov & Aleksey Larionov & Konstantin Legoshchin & Yuriy Lesin & Svetlana Yakovleva, 2020. "The Assessment of Radon Emissions as Results of the Soil Technogenic Disturbance," IJERPH, MDPI, vol. 17(24), pages 1-11, December.
    10. Xueyi Yu & Chi Mu & Dongdong Zhang, 2020. "Assessment of Land Reclamation Benefits in Mining Areas Using Fuzzy Comprehensive Evaluation," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    11. Meng Li & Nan Zhou & Jixiong Zhang & Zhicheng Liu, 2017. "Numerical Modelling of Mechanical Behavior of Coal Mining Hard Roofs in Different Backfill Ratios: A Case Study," Energies, MDPI, vol. 10(7), pages 1-18, July.
    12. Dongjing Xu & Suping Peng & Shiyao Xiang & Yunlan He, 2017. "A Novel Caving Model of Overburden Strata Movement Induced by Coal Mining," Energies, MDPI, vol. 10(4), pages 1-13, April.

    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:jsusta:v:10:y:2018:i:5:p:1636-:d:147884. 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.