基于熵权-灰色关联度理论的矿井突水水源判别模型研究

Research on discrimination model of water inrush source in mines based on entropy weight method of grey correlation theory

黄淮地区是我国东部煤炭集中地之一,尤其在进行浅部煤层开采时极易发生突水事故。为了快速准确地识别突水水源,文章收集安徽省淮南矿区、淮北矿区和阜阳市谢桥矿区等5个矿区的100个水样数据,先通过Piper三线图分析黄淮地区各主要突水含水层的水化学特征,然后选取七大离子、pH和TDS为判别指标,通过熵权法与灰色关联度理论相结合的方法,建立了灰色加权关联度水源判别模型,最后利用该模型对11个待判样本进行预判,错判了一个。结果表明,熵权-灰色关联度矿井突水水源判别模型能够有效的提高识别精度,迅速准确地判断突水水源,为以后黄淮地区的煤矿安全工作提供了依据。

The Huanghuai area is one of the concentrated coal areas in the eastern part of China,especially in the shallow coal seam mining. In order to quickly and accurately identify the water source of water inrush,the paper collected 100 water samples from 5 mining areas including Huainan mining area,Huaibei mining area and Xieqiao mining area in Fuyang City.The Piper three-line diagram was used to analyze the main water inrush aquifers in Huanghuai area. The water chemistry characteristics were selected,and the seven major ions,PH and TDS were selected as the discriminant indexes. The gray weighted correlation water source discrimination model was established by the combination of entropy weight method and gray correlation degree theory. Finally,the model was used to treat 11. The sample was judged for prejudgment and one was wrongly judged. The results show that the entropygray correlation degree mine water inrush water source discriminant model can effectively improve the recognition accuracy,and quickly and accurately determine the water inrush,which provides a basis for coal mine safety work in the Huanghuai area.