基于灰色关联模型的矿井突水水源分析方法

Discrimination on mine water inrush source by gray correlation analysis method

良庄煤矿51101工作面开采推进480 m时遇断层破碎带导致矿井突水,为了快速判别突水水源类型,选取K^++Na^+、Ca^2+、Mg^2+、Cl^-、SO^2-4、HCO^-3这6种水化学成分指标作为判别依据,应用水化学特征分析结果和灰色关联判别相结合的方法建立矿井突水水源识别模型。选取22组水样(编号分别为1~22),计算各水样毫克当量百分数,绘制Piper三线图,对水样一般化学特征及水质类型进行综合分析。借助DPS软件将各出水点水样依次作为母序列进行灰色关联数据建模,确定灰色关联序列表,最终结合突水实际情况判定突水水源。结果表明,51101工作面突水水源来自于奥灰水。

Water inrush in Liangzhuang coal mine occurred when the mine’s 51101 working face was pushed 480 meters through a fault.In order to quickly identify the source of water inrush in coal mine,the paper selected six kinds of the water chemical component index with K^++Na^+,Ca^2+,Mg^2+,Cl^-,SO^2-4and HCO^-3 as the water source discriminated basis.We establish a mine water inrush identification model based on the combination of water chemical characteristics and grey correlation analysis.After 22 groups of water samples were selected,we firstly converted the units of the sample into milligram equivalent percentages,and then plotted the Piper diagram and made a comprehensive analysis of the general chemical characteristics and water quality types of water samples.With the help of DPS software,the water samples of each outlet point were successively taken as the parent sequence for grey relational data modeling,and the grey relational sequence table was determined.Finally,based on the actual water inrush situation,the conclusion was drawn that the water inrush source of 51101 working face came from the Ordovician limestone water.