采矿与安全工程学报 ›› 2013, Vol. 30 ›› Issue (6): 911-916.

• 论文 • 上一篇    下一篇

基于无量纲多源信息融合的底板突水危险性评价方法研究

  

  1. 中国矿业大学资源与地球科学学院,江苏 徐州 221116
  • 出版日期:2013-11-15 发布日期:2013-12-05
  • 作者简介:朱宗奎(1981-),男,江苏省徐州市人,博士,讲师,从事矿井水害防治方面的研究。 E-mail:zhzk@cumt.edu.cn Tel:13813298155
  • 基金资助:

    中央高校基本科研业务费专项资金项目(2010QNB35)

Research on the risk evaluation methods of water inrush from coal floor based on dimensionless multi-source information fusion technique

  • Online:2013-11-15 Published:2013-12-05

摘要: 矿井底板突水危险性的有效评价是矿井水害防治和实现安全开采的基本前提与重要基础。开展了以无量纲多源信息融合为基础的底板突水危险性评价方法研究,并以新安煤矿为例,在系统分析该矿底板突水致灾机理的基础上,从构造条件和水文地质条件2个方面确定了断层分布带、断层交点和端点分布带、断层突水指数、奥灰含水层水压、奥灰含水层富水性、有效隔水层等效厚度6个要素为该矿二1煤层底板突水的关键影响因素,并对其进行无量纲处理。通过定性排列定量转化的方法确定了各因素的权重,基于GIS的多源信息融合技术,构建了新安煤矿二1煤底板突水危险性评价的无量纲多源信息融合模型,并应用到该煤矿底板突水评价及预测中,结果真实可靠。

关键词: 底板突水, 突水危险性评价, 多源信息融合, 地理信息系统

Abstract: Effective evaluation of the risk of water inrush from coal floor is the prerequisite and basis for coal mine water hazard control and safety mining. The paper researches the risk evaluation methods of water inrush from coal floor based on dimensionless multi-source information fusion technique. Taking Xin’an coal mine as example and based on systematic analysis of floor water inrush mechanism, six key factors affecting the water inrush from the floor of NO.21 coal seam including distribution of faults belts, distribution of the endpoints and intersection-points in faults, index of water inrush caused by faults, water pressure and watery of the Ordovician limestone aquifer and the effective aquifuge thickness are identified and dealt with dimensionless quantity due to the structural and hydro-geological conditions. The weights of each factor are determined by qualitative arrangement and quantitative transformation. After that, dimensionless multi-source information fusion model for the evaluation of the water inrush risk of NO.21 coal seam in Xin’an coal mine are established on the basis of the GIS multi-source information fusion technique. The result is proved to be reliable when the model is applied into the evaluation and prediction work of water inrush from coal floor in this coal mine.

Key words: water inrush from coal floor, evaluation of the water inrush risk, multi-source information fusion;geographic information system