A GIS-based method of risk assessment on no. 11 coal-floor water inrush from Ordovician limestone in Hancheng mining area, China

被引:17
|
作者
Dai, Gelian [1 ,2 ]
Xue, Xiaoyuan [1 ]
Xu, Ke [1 ]
Dong, Lei [1 ]
Niu, Chao [1 ]
机构
[1] Xian Univ Sci & Technol, Coll Geol & Environm, 58 Yanta Rd, Xian 710054, Shaanxi, Peoples R China
[2] Minist Land & Resources, Key Lab Coal Resources Explorat & Comprehens Util, 26 Wenjing Rd, Xian 710054, Shaanxi, Peoples R China
基金
美国国家科学基金会;
关键词
Coal floor; Water inrush; Analytic hierarchy process (AHP); GIS; Vulnerability index method (VIM); NUMERICAL-SIMULATION; GROUNDWATER; AQUIFERS; MINE; VULNERABILITY; EVOLUTION; MODEL; SEAM;
D O I
10.1007/s12517-018-4071-8
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The no. 11 coal seam in the deep area of Hancheng mining area is mining in recent years, which is threatened by the water inrush from the Ordovician limestone aquifer. Coal-floor water inrush is governed by the water abundance of coal-floor aquifer, the water-resisting performance of coal-floor aquitard, and the pathway connecting the water source and the working face. To make an accuracy risk assessment of water inrush from the no. 11 coal seam floor, a GIS-based vulnerability index method (VIM) is adopted for its superior comprehensive consideration of more controlling factors, powerful spatial analysis, and intuitively display functions. This study firstly established an index system including the water pressure of the coal-floor aquifer, the unit water inflow, the thickness, the core recovery percentage, the thickness ratio of brittle rocks to ductile rocks, the thickness of effective aquitard, and the accumulated length of faults and folds, of which the former six indexes governed the water abundance of the coal-floor aquifer which was combined with the last two factors to determine the risk of coal-floor water inrush. Secondly, the thematic map of each controlling factor is established by GIS using the geological prospecting data, and the weight of each factor is determined by the analytic hierarchy process (AHP) after consulting the expert review panel. At last, a vulnerability index is obtained and used to assess the risk of coal-floor water inrush of the no. 11 coal seam. The risk of water inrush of the no. 11 coal seam of the study area was ranked to three zones: the southeastern shallow area in red color is the dangerous zone, the wide northwestern area in green color is the safe zone, and the transition area in yellow color is the moderate-risk zone. Compared with the actual water-inrush incidents, the risk assessment result was verified to achieve an accuracy of 82.35%, which is proved to be a dependable reference for the prevention and controlling of coal-floor water inrush of the no. 11 coal seam in Hancheng mining area.
引用
收藏
页数:10
相关论文
共 46 条
  • [1] A GIS-based method of risk assessment on no. 11 coal-floor water inrush from Ordovician limestone in Hancheng mining area, China
    Gelian Dai
    Xiaoyuan Xue
    Ke Xu
    Lei Dong
    Chao Niu
    Arabian Journal of Geosciences, 2018, 11
  • [2] Using random forest for the risk assessment of coal-floor water inrush in Panjiayao Coal Mine, northern China
    Zhao, Dekang
    Wu, Qiang
    Cui, Fangpeng
    Xu, Hua
    Zeng, Yifan
    Cao, Yufei
    Du, Yuanze
    HYDROGEOLOGY JOURNAL, 2018, 26 (07) : 2327 - 2340
  • [3] Prediction of Floor Water Inrush: The Application of GIS-Based AHP Vulnerable Index Method to Donghuantuo Coal Mine, China
    Qiang Wu
    Yuanzhang Liu
    Donghai Liu
    Wanfang Zhou
    Rock Mechanics and Rock Engineering, 2011, 44
  • [4] Prediction of Floor Water Inrush: The Application of GIS-Based AHP Vulnerable Index Method to Donghuantuo Coal Mine, China
    Wu, Qiang
    Liu, Yuanzhang
    Liu, Donghai
    Zhou, Wanfang
    ROCK MECHANICS AND ROCK ENGINEERING, 2011, 44 (05) : 591 - 600
  • [5] Relative Impermeability of the Ordovician Top and Risk Assessment of Water Inrush from Coal Floor in Baode Coalfield
    Zhang, Weijie
    Li, Shucai
    Wei, Jiuchuan
    Zhang, Qingsong
    Liu, Rentai
    Li, Zhipeng
    Sun, Zizheng
    CONSTRUCTION AND URBAN PLANNING, PTS 1-4, 2013, 671-674 : 85 - +
  • [6] GIS-based evaluation of water-inrush risk from coal floor using logistic regression and certainty factor models
    Qiqing Wang
    Yuxiang Lin
    Wenping Li
    Xiaoyang Yu
    Yong Zhang
    Arabian Journal of Geosciences, 2022, 15 (3)
  • [7] GIS-based water inrush risk evaluation of the 10th coal seam floor in Zhuxianzhuang Coal Mine, northern Anhui Province, China
    Jiang, Qilin
    Liu, Qimeng
    Chai, Huichan
    Hu, Xianxiang
    WATER SUPPLY, 2024, 24 (05) : 1714 - 1733
  • [8] Risk Assessment of Water Inrush of a Coal Seam Floor Based on the Combined Empowerment Method
    Yin, Huiyong
    Xu, Guoliang
    Zhang, Yiwen
    Zhai, Peihe
    Li, Xiaoxuan
    Guo, Qiang
    Wei, Zongming
    WATER, 2022, 14 (10)
  • [9] Method for assessing coal-floor water-inrush risk based on the variable-weight model and unascertained measure theory
    Wu, Qiang
    Zhao, Dekang
    Wang, Yang
    Shen, Jianjun
    Mu, Wenping
    Liu, Honglei
    HYDROGEOLOGY JOURNAL, 2017, 25 (07) : 2089 - 2103
  • [10] Relative strata impermeability in Ordovician top and risk assessment of water inrush from coal floor in xinyi coalfield
    Bai, Xiqing
    Bai, Haibo
    Shen, Zhihui
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2009, 28 (02): : 273 - 280