基于S-SAR边坡雷达的滑坡形变监测分析研究
Analysis of landslide deformation monitoring based on S-SAR
周可鹏 1陈旺旺1
作者信息
- 1. 中安国泰(北京)科技发展有限公司,北京 101318
- 折叠
摘要
露天矿山边坡安全是矿山安全的保障,边坡表面变形监测数据分析有助于获得准确的滑坡时间预测,因此,滑坡形变监测分析研究是研究的重点.本文对比分析了两个矿山滑坡时的合成孔径边坡雷达变形监测数据,获得了在滑坡时边坡表面变形监测特征曲线,进而建立了变形特征曲线与滑坡之间的关系.通过分析发现了边坡在发生破坏性变形之前会有多次异常的加速变形现象,这一点与斋藤法的三阶段变形相符.边坡在滑坡前并不会呈加速—匀速—再加速的变形规律,而是会重复多次加速—匀速—加速循环的变形现象.
Abstract
In order to improve the safety of open-pit mine slope and ensure the normal production of enterprises,it is the focus of research to strengthen the monitoring data analysis of slope surface deformation to obtain more accurate landslide time prediction.In this paper,the characteristic curve of slope surface deformation monitoring value in landslide is obtained by comparing and analyzing the radar deformation monitoring data of slope in two different mines,and then the relationship between deformation curve and landslide is judged.It is found that the slope will have several abnormal accelerated deformation phenomena before the destructive deformation,which is consistent with the three-stage deformation of Saito method.However,the slope will not only have one accelerated-uniform-re-accelerated deformation law before the landslide,but will repeat the deformation phenomenon of multiple accelerated-uniform-accelerated cycles.
关键词
S-SAR/滑坡/边坡雷达/边坡稳定性/形变监测Key words
S-SAR/landslide/slope radar/slope stability/deformation monitoring引用本文复制引用
基金项目
中国安全生产科学研究院基本科研业务费专项资金项目(2024JBKY20)
出版年
2024
NETL
NSTL
万方数据