灵宝市新近堆积黄土物理性质指标相关性分析  

Correlation Analysis of Physical Indexes of Recently Accumulated Loess in Lingbao City

作　　者：王新建[1] 吴琦[1] 母霓莎 

机构地区：[1]华北水利水电大学,河南郑州450011

出　　处：《人民黄河》2013年第8期137-140,共4页Yellow River

基　　金：河南省基础与前沿技术研究计划项目(112300410252)

摘　　要：新近堆积黄土形成时间短,固结较差,结构普遍松散,因而压缩性高,强度偏低。结合灵宝市某边坡工程地质勘查资料,对区内新近堆积黄土物理性质指标相关性进行统计分析,统计含水量、颗粒相对密度、土体容重、干容重、孔隙比、饱和度及塑性指数的深度相关系数,结果表明各指标与深度有不同程度的相关性,颗粒相对密度与深度的相关系数最小,土体容重的最大,上述指标之间的相关性也较强。最后建立了直接测试物理性质指标之间、塑性指数与各指标间的一元线性及多元线性回归方程,通过统计检验判别了回归的显著性。Recently Accumulated Loess （RAL） is highly compressible and with low strength for its poor consolidation, loose structure and short for- mation time. Combing with the geological exploration data of a slope engineering in Lingbao City, this paper analyzed the correlations of the RAL physical indexes in the study area and calculated the correlation coefficients among water content, particle relative density, soil bulk density, dry density, porosity, saturation, plasticity index. The result shows that indexes and depth have different extent correlations. The correlation coefficient between particle relative density and depth is the smallest and the correlation coefficient between soil bulk density and depth is the largest. One sim- ple linear and multiple linear regression equations to directly test physical indexes, and plasticity index with each index are set up finally, and the regression significance is identified through statistical tests.

关 键 词：新近堆积黄土 物理性质指标 相关性 线性回归 灵宝市 

分 类 号：TV223.2[水利工程—水工结构工程]