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基于EWM和PCA的底板突水危险性评价 被引量:2

Risk Assessment of Floor Water Inrush Based on EWM and PCA
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摘要 依据熵权系数法(EWM)与主成分分析(PCA)的原理与方法,将2个方法相结合,选取含水层水压、隔水层厚度、含水层的富水性、地质构造4个影响因素,计算各个因素的综合权重,对鲁西煤矿17煤底板的突水危险性进行评价分析并分区,并与传统的突水系数法相比较分析,对17煤开采奥灰水防治具有指导意义。 According to the principle and method of entropy weight coefficient method (EWM) andprincipal component analysis (PCA), the two methods are-combined to select the influence factors ofaquifer water pressure, the thickness of the aquifer, the water abundance of the aquifer and thegeological structure, calculate the weight of each factor, the evaluation and analysis of the waterbursting risk of the 17 coal seam in Luxi coal mine are conducted and compared with the traditionalmethod of water inrush coefficient, which is of guiding significance for the prevention and control of the17 coal mining.
出处 《煤炭技术》 CAS 2018年第2期162-164,共3页 Coal Technology
基金 国家自然科学基金资助(41372290 41402250) 山东省自然科学基金(ZR2015PD010)
关键词 熵权系数法 主成分分析 突水危险性 entropy weight coefficient method principal component analysis water inrush risk
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