基于主成分分析法的奥灰富水性评价

发布时间：2019-08-05 11:21

【摘要】：针对因钻孔单位涌水量数据严重不足而无法评判整个井田奥灰含水层富水性的实际情况,选取了新汶煤田良庄井田井下奥灰水文孔钻孔涌水量、影响煤层安全开采的奥灰上部马家沟组上段含水层厚度、井田内断层分维值、井田内褶皱分维值和奥灰上部峰峰组含水层深度5个影响因素,作为评价奥灰富水性的指标,采用主成分分析法从这5个因素中提取出主控影响因素并获得对应的权重,建立了富水性指数的数学模型。通过确定分区阈值,绘制了以富水性指数为依据的良庄井田奥灰富水性分区图,为煤矿的安全开采提供基础资料。
[Abstract]:In view of the fact that the water abundance of Ordovician ash aquifer can not be judged because of the serious shortage of drilling unit water inflow data, five influencing factors, namely, the thickness of aquifer in the upper section of Majiagou formation, the fractal dimension value of fault in well field, the fractal dimension value of fold in well field and the depth of aquifer in the upper peak formation of Ordovician ash in Liangzhuang coalfield, Xinwen coalfield, are selected, which affect the thickness of aquifer in the upper Majiagou formation of coal seam safe mining, the fractal dimension value of fold in well field and the depth of aquifer in the upper peak formation of Ordovician ash. As an index to evaluate the water enrichment of Austrian ash, the main control influencing factors are extracted from these five factors by principal component analysis (PCA), and the corresponding weights are obtained, and the mathematical model of water enrichment index is established. By determining the partition threshold, the water-rich zoning map of Ordovician ash in Liangzhuang mine field based on water-rich index is drawn, which provides the basic data for the safe mining of coal mine.
【作者单位】：山东科技大学地球科学与工程学院;山东科技大学计算机科学与工程学院;
【基金】：国家自然科学基金资助项目(41572244) 高等学校博士学科点专项科研基金资助项目(20133718110004) 山东省自然科学基金资助项目(ZR2015DM013)
【分类号】：TD742

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