Vulnerability Assessment of Groundwater Inrush from Underlying Aquifers Based on Variable Weight Model and its Application

被引:0
|
作者
Wu Qiang
Li Bo
Chen Yulong
机构
[1] China University of Mining and Technology,Key Laboratory of Karst Environment and Geohazard Prevention
[2] Guizhou University,College of Resource and Environmental Engineering
[3] Guizhou University,Department of Civil Engineering
[4] The University of Tokyo,undefined
来源
关键词
Variable weight model; Groundwater inrush; Vulnerability assessment; Mining; China;
D O I
暂无
中图分类号
学科分类号
摘要
Groundwater inrush from aquifers underlying coal seams is a serious geohazard during coal mining in China. Its occurrence is affected by multiple factors, while the importance of these factors may change over the entire mining area. Traditional model with constant weight cannot reflect the influence of index value mutates with changes in hydrogeological conditions on the comprehensive evaluation value. The theory of variable weight model is thus proposed to evaluate the dynamic processes involved in groundwater inrushes. The model is applied to the Yuzhou coalfield in north China to demonstrate the construction process of the variable weight model and to verify its improvement over the traditional constant weight model in assessing the vulnerability of groundwater inrushes from the underlying aquifers. This innovative method offers not only another tool on assessment of groundwater bursting but also has practical significance in reducing water geohazards in mines.
引用
收藏
页码:3331 / 3345
页数:14
相关论文
共 50 条
  • [1] Vulnerability Assessment of Groundwater Inrush from Underlying Aquifers Based on Variable Weight Model and its Application
    Wu Qiang
    Li Bo
    Chen Yulong
    [J]. WATER RESOURCES MANAGEMENT, 2016, 30 (10) : 3331 - 3345
  • [2] An analysis of parameters sensitivity for vulnerability assessment of groundwater inrush during mining from underlying aquifers based on variable weight model
    Li, Bo
    Wu, Qiang
    [J]. Caikuang yu Anquan Gongcheng Xuebao/Journal of Mining and Safety Engineering, 2015, 32 (06): : 911 - 917
  • [3] Risk assessment of ground water inrush from underlying aquifers based on fuzzy comprehensive evaluation and its application
    Li, Bo
    Xu, Lei
    [J]. Li, Bo (libo1512@163.com), 1600, Bentham Science Publishers B.V., P.O. Box 294, Bussum, 1400 AG, Netherlands (07): : 107 - 112
  • [4] Risk Assessment of Coal Floor Water Inrush from Underlying Aquifers Based on GRA–AHP and Its Application
    Li B.
    Chen Y.
    [J]. Geotechnical and Geological Engineering, 2016, 34 (1) : 143 - 154
  • [5] Prediction of groundwater inrush into coal mines from aquifers underlying the coal seams in China: vulnerability index method and its construction
    Wu, Qiang
    Zhou, Wanfang
    [J]. ENVIRONMENTAL GEOLOGY, 2008, 56 (02): : 245 - 254
  • [6] Assessment of groundwater inrush from underlying aquifers in Tunbai coal mine, Shanxi province, China
    Wu, Qiang
    Liu, Yuanzhang
    Wu, Xiaoli
    Liu, Shouqiang
    Sun, Wenjie
    Zeng, Yifan
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (09)
  • [7] Assessment of groundwater inrush from underlying aquifers in Tunbai coal mine, Shanxi province, China
    Qiang Wu
    Yuanzhang Liu
    Xiaoli Wu
    Shouqiang Liu
    Wenjie Sun
    Yifan Zeng
    [J]. Environmental Earth Sciences, 2016, 75
  • [8] Prediction of groundwater inrush into coal mines from aquifers underlying the coal seams in China: application of vulnerability index method to Zhangcun Coal Mine, China
    Wu, Qiang
    Zhou, Wanfang
    Wang, Jinhua
    Xie, Shuhan
    [J]. ENVIRONMENTAL GEOLOGY, 2009, 57 (05): : 1187 - 1195
  • [9] Application of DRASTIC Model based on Entropy Weight to the Assessment on Vulnerability of Groundwater in Weining Plain
    Li, Sheng
    Liang, Shichuan
    [J]. ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 4007 - 4014
  • [10] Sensitivity of an integrated groundwater flow model to model parameters-application to vulnerability assessment of karst aquifers
    Kassem, Assaad H.
    Doummar, Joanna
    Gurdak, Jason J.
    [J]. GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2022, 17