煤层原煤视密度与发热量的线性回归分析——以内蒙古鄂托克前旗长城一号井田为例

Linear-Regression Analysis of Apparent Density and Heating Value of Raw Coal in Coal Seams——A Case Study on Great Wall 1# Shaft Area in Otog Front Banner of Inner Mongolia

长城一号井田位于内蒙古鄂托克前旗上海庙镇,主要可采煤层为3号、5号及9号煤层,根据各主采煤层煤样化验数据统计分析,发现井田内各主采煤层原煤视密度与发热量存在相关系数及99%的置信度下的线性回归方程。应用主采煤层原视密度与发热量导出的线性回归方程,可以提高煤样化验效率,而且能保证化验结果的准确性,同时对本井田及邻区井田煤样的检测工作具有一定的指导意义。

The Great Wall in 1# shaft area locates in hanghaimiao of Otog Front Banner of Inner Mongolia, the main ruinable coal seams are the 3#, 5#th and 9# coal seams. According to the statistical analysis of the assay data of coal sample of each main coal seam, it is found that equations of linear regression of correlation coefficient and 99% confidence level are existed between apparent density and heating value of raw coal in main minable coal seams. The application of the equations of linear regression derived from apparent density and heating value of raw coal in main minable coal seams can improve the testing efficiency of coal samples, ensure the accuracy of the test results, and is of some guiding significance to the testing of coal samples in this and adjacent areas.