线性回归方程对煤吸附常数计算的影响

Influence of Linear Regression Equation on Coal Adsorption Constant

为了解线性回归方程对计算煤的瓦斯吸附常数的影响,利用高压容量法对4个矿井煤样进行了等温吸附试验,计算了莱恩威弗-伯克、伊蒂-霍夫斯第、斯卡查德和朗缪尔4种线性回归方程的煤的瓦斯吸附常数,并对比分析了采用不同煤的瓦斯吸附常数计算的瓦斯吸附量与试验吸附量之间的差异,结果表明:根据线性回归相关系数的大小,在4种线性回归方程计算煤的瓦斯吸附常数过程中莱恩威弗-伯克方程回归效果最好;4种的线性回归方法计算煤的瓦斯吸附量的误差率变化趋势相一致,呈现一种偏态分布;根据绝对误差率的大小,不同的线性回归方法适用于不同吸附压力范围。

In order to understand the influence of linear regression equation on gas adsorption constants,isothermal adsorption test of four kinds of coal samples was tested by volumetric method. Adsorption constants were fitted to data by four kinds of linear regression equations including Lineweaver-Burk,Eadie-Hofstee,Scatchard and Langmuir. The difference of adsorption capacity was compared and analyzed between experiment and calculation from the different adsorption constants. The results show that the Lineweaver-Burk equation is the best in the calculation process of adsorption constant according to correlative coefficients of linear regression; all the linear regression equations have a consistent variation trend of adsorption capacity error rate,and the curves is a skewed distribution; different equations of linear regression is applied to different ranges of adsorption pressure due to absolute error rate.