IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p11978-d922127.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/11978/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/19/11978/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.

    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. Meichen Wang & Herong Gui & Rongjie Hu & Honghai Zhao & Jun Li & Hao Yu & Hongxia Fang, 2019. "Hydrogeochemical Characteristics and Water Quality Evaluation of Carboniferous Taiyuan Formation Limestone Water in Sulin Mining Area in Northern Anhui, China," IJERPH, MDPI, vol. 16(14), pages 1-14, July.
    2. Yang Chen & Shuyun Zhu & Shuaijun Xiao, 2019. "Discussion on controlling factors of hydrogeochemistry and hydraulic connections of groundwater in different mining districts," 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. 99(2), pages 689-704, November.
    3. Hengjie Luan & Huili Lin & Yujing Jiang & Yahua Wang & Jiankang Liu & Pu Wang, 2018. "Risks Induced by Room Mining Goaf and Their Assessment: A Case Study in the Shenfu-Dongsheng Mining Area," Sustainability, MDPI, vol. 10(3), pages 1-17, February.
    4. Yilong Liu & Tianhong Yang & Wenxue Deng & Honglei Liu & Yuan Gao & Kai Ma & Yong Zhao & Dongdong Sun, 2024. "Characteristics of Overburden Damage and Rainfall-Induced Disaster Mechanisms in Shallowly Buried Coal Seam Mining: A Case Study in a Gully Region," Sustainability, MDPI, vol. 16(17), pages 1-22, August.

    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:14:y:2022:i:19:p:11978-:d:922127. 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.