| 基于SPSS的瓦斯赋存规律研究 |
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| 引用本文： | 杨帅,赵磊. 基于SPSS的瓦斯赋存规律研究[J]. 适用技术之窗, 2014, 0(12): 247-250 |
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| 作者姓名： | 杨帅 赵磊 |
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| 作者单位： | 六盘水师范学院矿业工程系,贵州六盘水553004 |
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| 基金项目： | 六盘水师范学院校级基金项目（编号：LPSSYKYJJ201412） |
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| 摘 要： | 本文通过对瓦斯含量有影响的各因素做一元线性回归，得出影响C5煤层瓦斯含量的主要因素为埋深，同时得出影响最大的另两个因素为煤厚、20米岩层效应厚度。利用SPSS软件做多元回归，最终得出瓦斯含量的定量计算公式。通过验证可知，该公式具有良好的可靠性，可以用来定量的计算瓦斯含量，在一定意义上指导了安全生产。
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| 关 键 词： | 线性回归 SPSS 瓦斯含量 |
Study on Gas Occurrence Regularity Based on SPSS |
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| Yang Shuai,Zhao Lei. Study on Gas Occurrence Regularity Based on SPSS[J]. Science & Technology Plaza, 2014, 0(12): 247-250 |
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| Authors: | Yang Shuai Zhao Lei |
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| Affiliation: | ( Mining Engineering Department of Liupanshui Normal University, Guizhou Liupanshui 553004 ) |
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| Abstract: | Through simple linear regression on the single factors influencing the gas content, we get that the main factors that affect the C5 coal seam gas content are buried deeply and at the same time we get three maximum influencing factors：buried depth, coal thickness, and 20 meters of strata thickness effect. By conducting a multi-variate regression analysis with SPSS software, we finally get the quantitative calculation formula of gas content. This formula has good reliability against validation and can be used to calculate the gas content, which, in a certain sense, can guide safety production. |
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| Keywords: | Linear Regression SPSS Gas Content |
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