基于多元线性回归的瓦斯放散初速度影响因素试验研究

    Experimental study on influencing factors of initial gas emission velocity based on multiple linear regression

    • 摘要: 煤的瓦斯放散初速度指标△p在判定煤矿是否具有突出危险性中起到重要作用。通过从全国13个省市的77个煤矿采取77个煤样,在实验室实测煤样的水分、灰分、挥发分、真密度、视密度、孔隙率、常压瓦斯吸附量、瓦斯吸附常数、煤的坚固性系数、瓦斯放散初速度等11个瓦斯基础参数,利用SPSS数据分析软件,采用逐步多元线性回归法进行统计分析,得出对△p产生显著影响的因素为常压瓦斯吸附量、瓦斯吸附常数b和煤的坚固性系数,且常压瓦斯吸附量对△p的影响最为显著。试验结果表明:常压瓦斯吸附量和瓦斯吸附常数b与△p呈正相关性;煤的坚固性系数与△p呈负相关性,同时建立了多元线性回归模型,拟合相关系数为0.892。

       

      Abstract: The initial gas emission velocity(△p) of coal plays an important role in judging whether the coal mine has outburst hazard. By taking 77 coal samples from 77 coal mines in 13 provinces and cities across the country, 11 basic gas parameters, including the moisture, ash, volatile, true density, apparent density, porosity, atmospheric gas adsorption, gas adsorption constants a and b, coal firmness coefficient f, and initial gas release velocity △p, of the coal samples were measured in the laboratory. By using SPSS data analysis software combined with stepwise multiple linear regression method, the factors that have a significant influence on △p can be determined as atmospheric gas adsorption capacity, gas adsorption constant b and coal firmness coefficient, and atmospheric gas adsorption capacity has the most significant effect on △p. The results showed that atmospheric gas adsorption capacity and gas adsorption constant b are positively correlated with △p; f and △p are negatively correlated. Meanwhile, a multiple linear regression model has been established. The fitted correlation coefficient is 0.892.

       

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