长江科学院院报2013，Vol.30Issue(1)：21-25,5.DOI:10.3969/j.issn.1001-5485.2013.01.004
逐步回归算法在边坡安全监测中的运用
Application of Stepwise Regression Algorithm to Slope Safety Monitoring
摘要
Abstract
Considering the effect of time, rainfall and temperature on slope deformation, we analyzed the deformation factors and their expressions in depth. We also established a statistical regression model of slope deformation through Matlab software and stepwise regression algorithm to carry out regression analysis and prediction of slope deformation. Analysis on the deformation monitoring data of high slope on the left bank of spillway of Dongjin hydro-power station showed that the statistical regression values of slope deformation were in good agreement with measured values, with large multiple correlation coefficients and small residual standard deviations. This model can well reflect the slope deformation and its trend, and it provides guidelines for analyzing the safty and predicting the deformation trend.关键词
边坡变形/统计回归模型/影响因子/复相关系数/剩余标准差Key words
slope deformation/ statistical regression model/ influencing factor/ multiple correlation coefficient/ residual standard deviation分类
天文与地球科学引用本文复制引用
陈兰,仲云飞,吴邦彬,许淼..逐步回归算法在边坡安全监测中的运用[J].长江科学院院报,2013,30(1):21-25,5.基金项目
国家自然科学基金资助项目(51079046,50909041,51139001) （51079046,50909041,51139001）
河海大学水文水资源与水利工程科学国家重点实验室专项基金(2009586012,2009586912,2010585212) （2009586012,2009586912,2010585212）
中央高校基本科研业务费项目(2009B08514,2010B20414,2010B01414,2010B14114) （2009B08514,2010B20414,2010B01414,2010B14114）
江苏省"333高层次人才培养工程"(2017-B08037) （2017-B08037）
江苏省普通高校研究生科研创新计划(CX09B_163Z) （CX09B_163Z）
