广东水利水电Issue(10)：47-51,5.
基于 SPSS 的长坑三级大坝渗流监测资料多元逐步回归分析
Multivariate Stepwise Regression Analysis of Seepage Monitoring Data of the Third Cascade Reservoir Dam in Changkeng River in Zhongshan City based on SPSS
摘要
Abstract
Taking the third cascade reservoir dam in Changkeng river in Zhongshan City as a case, the change of permeability of the reservoir dam in 2014 was drawn out, and the stepwise regression model between the osmotic pressure data and the relevant environmental variables in 2014 was established by using SPSS software.Through the stepwise regression model, the effect of osmotic pressure component caused by various environmental factors was calculated.The result show that the seepage of the river bed section dam foundation was affected by reservoir water level and aging effect, and it had positive correlation with reservoir water level; the seepage of the dam abutment was not only influenced by the reservoir water level and aging effect, but also by the rainfall, which was in good agreement with the actual situation; the proportion of the total water head of the pressure component caused by aging was very small, and the permeability of the reservoir was stable.关键词
渗流监测资料分析/SPSS软件/多元逐步回归分析/分量效应Key words
seepage monitoring data analysis/SPSS software/multivariate stepwise regression analysis/component effect分类
建筑与水利引用本文复制引用
夏甜,袁明道,张旭辉,刘洪,李飞..基于 SPSS 的长坑三级大坝渗流监测资料多元逐步回归分析[J].广东水利水电,2015,(10):47-51,5.基金项目
广东省山洪灾害突发事件应急技术研究中心(201405002)项目资助. （201405002）
