摘要
以中山市长坑三级水库大坝为案例,绘制了该水库大坝2014年渗透压力变化过程线,采用SPSS软件,建立了2014年渗透压力资料与有关环境量之间的逐步回归模型,通过建立的逐步回归模型反算各环境量影响因子所产生的渗透压力分量效应。结果表明:该水库大坝河床段坝基渗流受库水位和时效影响,且与库水位呈正相关;坝肩绕坝渗流除受库水位和时效影响外,还受降雨影响,与实际情况较为吻合;由时效引起的渗透压力分量所占渗透压力总水头的比例非常小,该水库大坝抗渗性能基本稳定。
Taking the third cascade reservoir dam in Changkeng fiver 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 regTession model, the effect of osmotic pressure component caused by various environmental factors was calculated. The result show that the seepage of the fiver 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.
出处
《广东水利水电》
2015年第10期47-51,共5页
Guangdong Water Resources and Hydropower
基金
广东省山洪灾害突发事件应急技术研究中心(201405002)项目资助
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
seepage monitoring data analysis
SPSS software
multivariate stepwise regression analysis
component effect
