基于多元线性回归对瓦斯含量和涌出量预测的实验研究  

Experimental Study on Gas Content and Emission Quantity Predicting Based on Multiple Linear Regression

作　　者：胡魏魏 Hu Weiwei(Shaanxi Coal Industry Chemical Engineering Technology Research Institute Co.,Ltd.,Shaanxi Xi'an 710100)

机构地区：[1]陕西煤业化工技术研究院有限责任公司,陕西西安710100

出　　处：《山东煤炭科技》2023年第9期138-140,共3页Shandong Coal Science and Technology

摘　　要：为了准确预测矿井瓦斯含量和涌出量,通过对实验矿井煤层瓦斯含量的测定,运用多元线性回归的方法,对影响瓦斯含量的单因素和多因素影响进行分析比较,得出多因素预测瓦斯含量拟合度更高,并以此为基础,可以预测煤层瓦斯含量和涌出量。In order to accurately predict the gas content and emission quantity in the mine,the measurement of the gas content in the experimental mine coal seams is conducted using the method of multiple linear regression to analyze and compare the single and multiple factors that affect the gas content.It is found that the multi factor prediction of gas content has a higher fitting degree,and based on this,the gas content and emission quantity in coal seams can be predicted.

关 键 词：瓦斯含量 多元线性回归 赋存规律 涌出规律 

分 类 号：TD712.6[矿业工程—矿井通风与安全]