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Risk Assessment of Water Inrush from Coal Seam Roof Based on Combination Weighting-Set Pair Analysis

Author

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  • Daolei Xie

    (Hydrological Department, College of Earth Science & Engineering, Shandong University of Science and Technology, No. 579, Qianwangang Road, West Coast New District, Qingdao 266590, China)

  • Jing Han

    (Hydrological Department, College of Earth Science & Engineering, Shandong University of Science and Technology, No. 579, Qianwangang Road, West Coast New District, Qingdao 266590, China)

  • Huide Zhang

    (Shandong Lineng Luxi Minging Co., Ltd., Jining 272000, China)

  • Kai Wang

    (Feicheng Baizhuang Coal Mine Co., Ltd., Tai’an 271000, China)

  • Zhongwen Du

    (Hydrological Department, College of Earth Science & Engineering, Shandong University of Science and Technology, No. 579, Qianwangang Road, West Coast New District, Qingdao 266590, China)

  • Tianyu Miao

    (Hydrological Department, College of Earth Science & Engineering, Shandong University of Science and Technology, No. 579, Qianwangang Road, West Coast New District, Qingdao 266590, China)

Abstract

When exploiting Jurassic-era coal resources in Northwest China, there are risks of water inrush and sand burst disasters from coal seam roofs. To improve the safety of coal mining, it is imperative to accurately and objectively evaluate the water inrush risk of sandstone aquifers from coal seam roofs and to reasonably and effectively prevent and control water disasters. In this paper, the 221 mining area of the Shilawusu Coal Mine was considered. By combining the basic geological condition data, hydrogeological condition data, and drilling data in the area studied, four main control factors, including the equivalent thickness of sandstone, the lithology coefficient of sandstone, the interbedded coefficient of sand and mud, and the core recovery rate, were selected as evaluation indexes for predicting the water inrush risk from the coal seam roof. A hierarchical prediction and discrimination model of water inrush risk based on combination weighting-set pair analysis was established. The combination weighting method, which is based on the sum of squared deviations, was used to optimize the subjective and objective weight values obtained by the improved analytic hierarchy process and entropy weight methods. By applying set pair analysis theory, the comprehensive connection degree was determined using the set pair connection degree function that was constructed with 31 instances of drilling data in the study area. Then, the risk grade of each drilling data instance was evaluated by the confidence criterion of set pair analysis to calculate the water inrush risk evaluation index. Finally, the obtained index was combined with the borehole pumping test data and the discharging test data to partition the water inrush risk from the coal seam roof. The results indicated that most of the 221 mining area is safe, and the small transitional and dangerous areas are only in the central and northern regions. Based on the combination weighting-set pair analysis method, the water inrush risk from the coal seam roofs in the study area was accurately and objectively classified by a discrimination model.

Suggested Citation

  • Daolei Xie & Jing Han & Huide Zhang & Kai Wang & Zhongwen Du & Tianyu Miao, 2022. "Risk Assessment of Water Inrush from Coal Seam Roof Based on Combination Weighting-Set Pair Analysis," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:11978-:d:922127
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    References listed on IDEAS

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    1. Herong Gui & Manli Lin, 2016. "Types of water hazards in China coalmines and regional characteristics," 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. 84(2), pages 1501-1512, November.
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    Cited by:

    1. Tao Yan & Chuanqu Zhu & Qingfeng Li & Qian Xu, 2023. "Investigating Disaster Mechanisms Triggered by Abrupt Overburden Fracture Alterations in Close-Seam Mining Beneath an Exceptionally Thick Sandstone Aquifer," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
    2. Daolei Xie & Zhongwen Du & Chenghao Han & Jie Han & Jiuchuan Wei & Jiulei Yan, 2023. "Prediction of the Water Inrush Risk from an Overlying Separation Layer in the Thick Overburden of a Thick Coal Seam," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    3. 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.
    4. 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.
    5. Aorui Bi & Shuya Huang & Xinguo Sun, 2023. "Risk Assessment of Oil and Gas Pipeline Based on Vague Set-Weighted Set Pair Analysis Method," Mathematics, MDPI, vol. 11(2), pages 1-21, January.
    6. Xin Li & Bo Li & Ye Luo & Tao Li & Hang Han & Wenjie Zhang & Beibei Zhang, 2023. "Water-Richness Zoning Technology of Karst Aquifers at in the Roofs of Deep Phosphate Mines Based on Random Forest Model," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    7. Jie Liu & Qian Ma & Wanqing Wang & Guanding Yang & Haowen Zhou & Xinyue Hu & Liangyun Teng & Xuehua Luo, 2022. "Risk Level Assessment and CO Prediction of Underground Mines for Poisoning and Asphyxiation Accidents," Sustainability, MDPI, vol. 14(24), pages 1-22, December.

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