IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i11p3850-d822454.html
   My bibliography  Save this article

Height Prediction and 3D Visualization of Mining-Induced Water-Conducting Fracture Zone in Western Ordos Basin Based on a Multi-Factor Regression Analysis

Author

Listed:
  • Huiyong Yin

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Fangying Dong

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Yiwen Zhang

    (Shuifa Planning and Designing Co., Ltd., Jinan 250100, China)

  • Wenju Cheng

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Peihe Zhai

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Xuyan Ren

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Ziang Liu

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Yutao Zhai

    (Hebei Coal Research Institute Corporation Co., Ltd., Xingtai 054000, China)

  • Xin Li

    (Ningxia Coal Science and Technology Research Institute Co., Ltd., Ningxia 750004, China)

Abstract

The mining-induced water-conducting fracture zone (WCFZ) plays a critical role in roof water damage prevention and ecological protection. The measured heights of the WCFZ were collected from 52 working faces or boreholes in the Ordos Basin mining area. Four factors influencing the mining-induced height of the WCFZ, i.e., mining thickness, proportion coefficient of hard rock, working width, and mining depth, were analyzed. The optimal unitary function model of each factor and the height of the WCFZ were obtained through single-factor analysis. The grey correlation method and fuzzy ordered binary comparison method were used to determine the comprehensive weight, and the weighted improved multiple regression model was obtained by combination and iteration. The relative error of the model was basically controlled within 10%. Finally, taking the Qingshuiying Coalfield as an application case, we predicted the mining-induced height of the WCFZ by using the new prediction model. The spatial distribution characteristics of the WCFZ were analyzed by the geographic information system. In addition, Groundwater Modeling System (GMS) software was used to build a 3D structure model of WCFZ height to visualize the spatial distribution rules of the WCFZ. The results showed that the height of the WCFZ can be predicted quantitatively by this new method, and the visualization of the WCFZ can be realized. The proposed method effectively analyzes and predicts the mining-induced height of the WCFZ so that water gushing risks from overlying aquifers can be prevented or mitigated in mines.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:3850-:d:822454
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/11/3850/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/11/3850/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Wen-chuan Wang & Dong-mei Xu & Kwok-wing Chau & Guan-jun Lei, 2014. "Assessment of River Water Quality Based on Theory of Variable Fuzzy Sets and Fuzzy Binary Comparison Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4183-4200, September.
    3. Wen Zhai & Wei Li & Yanli Huang & Shenyang Ouyang & Kun Ma & Junmeng Li & Huadong Gao & Peng Zhang, 2020. "A Case Study of the Water Abundance Evaluation of Roof Aquifer Based on the Development Height of Water-Conducting Fracture Zone," Energies, MDPI, vol. 13(16), pages 1-16, August.
    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. Liyang Bai & Changlong Liao & Changxiang Wang & Meng Zhang & Fanbao Meng & Mingjin Fan & Baoliang Zhang, 2022. "Study on Height Prediction of Water Flowing Fractured Zone in Deep Mines Based on Weka Platform," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    2. 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.

    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. 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.
    2. Weili Duan & Bin He & Daniel Nover & Guishan Yang & Wen Chen & Huifang Meng & Shan Zou & Chuanming Liu, 2016. "Water Quality Assessment and Pollution Source Identification of the Eastern Poyang Lake Basin Using Multivariate Statistical Methods," Sustainability, MDPI, vol. 8(2), pages 1-15, January.
    3. Dagnachew Adugna & Marina Bergen Jensen & Brook Lemma & Geremew Sahilu Gebrie, 2018. "Assessing the Potential for Rooftop Rainwater Harvesting from Large Public Institutions," IJERPH, MDPI, vol. 15(2), pages 1-11, February.
    4. Baoxin Zhao & Qimeng Liu & Jingzhong Zhu, 2023. "Risk Assessment and Zonation of Roof Water Inrush Based on the Analytic Hierarchy Process, Principle Component Analysis, and Improved Game Theory (AHP–PCA–IGT) Method," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    5. Yudan Dou & Xiaolong Xue & Zebin Zhao & Xiaowei Luo & Ankang Ji & Ting Luo, 2018. "Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China," IJERPH, MDPI, vol. 15(9), pages 1-20, September.
    6. Yingru Li & Huixuan Li & Zhongwei Liu & Changhong Miao, 2016. "Spatial Assessment of Cancer Incidences and the Risks of Industrial Wastewater Emission in China," Sustainability, MDPI, vol. 8(5), pages 1-19, May.
    7. de Andrade, Lúcio Pereira & Espíndola, Rogério Pinto & Pereira, Gilberto Carvalho & Ebecken, Nelson Francisco Favilla, 2016. "Fuzzy modeling of plankton networks," Ecological Modelling, Elsevier, vol. 337(C), pages 149-155.
    8. 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.
    9. Vincent Paul Obade & Rattan Lal & Richard Moore, 2014. "Assessing the Accuracy of Soil and Water Quality Characterization Using Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5091-5109, November.
    10. Shiguo Xu & Tianxiang Wang & Suduan Hu, 2015. "Dynamic Assessment of Water Quality Based on a Variable Fuzzy Pattern Recognition Model," IJERPH, MDPI, vol. 12(2), pages 1-19, February.
    11. Chunlin Li & Miao Liu & Yuanman Hu & Tuo Shi & Min Zong & M. Todd Walter, 2018. "Assessing the Impact of Urbanization on Direct Runoff Using Improved Composite CN Method in a Large Urban Area," IJERPH, MDPI, vol. 15(4), pages 1-14, April.
    12. Peng Zhang & Xiangsu Chen & Chaohai Fan, 2020. "Research on a Safety Assessment Method for Leakage in a Heavy Oil Gathering Pipeline," Energies, MDPI, vol. 13(6), pages 1-19, March.
    13. Wen-chuan Wang & Kwok-wing Chau & Dong-mei Xu & Lin Qiu & Can-can Liu, 2017. "The Annual Maximum Flood Peak Discharge Forecasting Using Hermite Projection Pursuit Regression with SSO and LS Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 461-477, January.
    14. Lele Xiao & Fan Li & Chao Niu & Gelian Dai & Qian Qiao & Chengsen Lin, 2022. "Evaluation of Water Inrush Hazard in Coal Seam Roof Based on the AHP-CRITIC Composite Weighted Method," Energies, MDPI, vol. 16(1), pages 1-20, December.
    15. Iván P. Vizcaíno & Enrique V. Carrera & Sergio Muñoz-Romero & Luis H. Cumbal & José Luis Rojo-Álvarez, 2018. "Spatio-Temporal River Contamination Measurements with Electrochemical Probes and Mobile Sensor Networks," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    16. Linxian Huang & Lichun Wang & Jingli Shao & Xingwei Liu & Qichen Hao & Liting Xing & Lizhi Zheng & Yong Xiao, 2018. "Parallel Processing Transport Model MT3DMS by Using OpenMP," IJERPH, MDPI, vol. 15(6), pages 1-16, May.
    17. Yucheng Liu & Chuansheng Wang & Yutong Chun & Luxin Yang & Wei Chen & Jack Ding, 2019. "A Novel Method in Surface Water Quality Assessment Based on Improved Variable Fuzzy Set Pair Analysis," IJERPH, MDPI, vol. 16(22), pages 1-24, November.
    18. Sarita Gajbhiye Meshram & Vijay P. Singh & Ozgur Kisi & Chandrashekhar Meshram, 2021. "Soil erosion modeling of watershed using cubic, quadratic and quintic splines," 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. 108(3), pages 2701-2719, September.
    19. 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.
    20. Changshun Liu & Lili Liang & Lin Wang & Shuai Zheng, 2022. "Allocation and Utilization of Coal Mine Water for Ecological Protection of Lakes in Semi-Arid Area of China," Sustainability, MDPI, vol. 14(15), pages 1-18, July.

    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:11:p:3850-:d:822454. 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.