马雷, 钱家忠, 赵卫东. 基于GIS和水质水温的矿井突水水源快速判别[J]. 煤田地质与勘探, 2014, 42(2): 49-53. DOI: 10.3969/j.issn.1001-1986.2014.02.010
引用本文: 马雷, 钱家忠, 赵卫东. 基于GIS和水质水温的矿井突水水源快速判别[J]. 煤田地质与勘探, 2014, 42(2): 49-53. DOI: 10.3969/j.issn.1001-1986.2014.02.010
MA Lei, QIAN Jiazhong, ZHAO Weidong. An approach for quickly identifying water-inrush source of mine based on GIS and groundwater chemistry and temperature[J]. COAL GEOLOGY & EXPLORATION, 2014, 42(2): 49-53. DOI: 10.3969/j.issn.1001-1986.2014.02.010
Citation: MA Lei, QIAN Jiazhong, ZHAO Weidong. An approach for quickly identifying water-inrush source of mine based on GIS and groundwater chemistry and temperature[J]. COAL GEOLOGY & EXPLORATION, 2014, 42(2): 49-53. DOI: 10.3969/j.issn.1001-1986.2014.02.010

基于GIS和水质水温的矿井突水水源快速判别

An approach for quickly identifying water-inrush source of mine based on GIS and groundwater chemistry and temperature

  • 摘要: 针对淮南潘谢矿区新生界下含松散孔隙水与石炭系太原组石灰岩岩溶裂隙水水质接近的特殊情况,提出了基于GIS和水质水温的矿井突水水源快速判别方法。该法是利用测温钻孔的温度-深度拟合结果,构建基于GIS的利用水温识别突水水源的模型,并将其判别结果与基于水质的模糊综合评判计算的结果相结合,综合判别矿井突水水源。本法应用于潘一煤矿86-1号突水判别,实例结果显示,该法可以较好地适用于水质判别效果不佳,而含水层之间存在较大的地温差(埋深差)情况下的突水水源识别。

     

    Abstract: Aiming at the similarity of water quality of Cenozoic pore water and limestone karst fracture water of Carboniferous Taiyuan Formation, the paper put forward a method based on GIS and groundwater chemistry and temperature for quickly discriminating water-inrush source. The method used the fitting results of temperature and depth, built a model based on GIS for discriminating water inrush source by using water temperature, combined the discrimination results with fuzzy comprehensive evaluation based on water quality to identify water inrush source. The method was used to discriminate the water source of No.86-1 water-inrush in Panyi Mine. The results of application case showed that the method is suitable to discriminate water inrush source in areas where the discrimination effect is good by water quality and there is relative big ground temperature difference between aquifers (difference in buried depth).

     

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