基于表面与深部位移相协同的滑坡分级预警方法
Landslide classification warning method based on coordination of surface and deep displacement
王东 1王艳婷 1李广贺 1张周爱 2周志伟 2丁春健2
作者信息
- 1. 辽宁工程技术大学 矿业学院,辽宁 阜新 123000;辽宁工程技术大学 鄂尔多斯研究院,内蒙古 鄂尔多斯 017000
- 2. 国能宝日希勒能源有限公司,内蒙古 呼伦贝尔 021000
- 折叠
摘要
针对滑坡分级预警方法准确率低、预警重复率高、不具有普适性的问题,基于滑坡过程中位移演化的统计学特征,利用正态性检验原理,建立基于表面位移与深部位移信息相结合的滑面超前辨识与滑坡分级预警方法.对表面位移速度、表面位移加速度、深部位移错动量进行正态性检验,由此判断滑坡启动、滑坡加速和滑坡加加速的三级预警时间,通过工程实例验证了三级预警时间的准确性、推断的滑面位置的合理性.研究结论可丰富滑坡预警理论及方法,提高预警精度,为露天矿边坡工程设计提供参考.
Abstract
Aiming at the issues of low accuracy,high repetition rate,and non-universality of the landslide classification early warning method,based on the statistical characteristics of displacement evolution during the landslide process and the principle of normality test,a method for slip surface advance identification and landslide classification early warning based on surface displacement and deep displacement information was established.The normality tests of surface displacement velocity,surface displacement acceleration,and deep displacement dislocation momentum were carried out to determine the three-level early warning times of landslide start-up,landslide acceleration,and landslide rapid acceleration.The accuracy of the three-level early warning times and the rationality of the inferred position of the slide surface were verified through engineering examples.The research results can enrich the theory and method of landslide warning,enhance the warning precision,and provide references for the design of open-pit slope engineering.
关键词
位移监测/正态分布/随机变量/滑坡预警/滑面辨识Key words
displacement monitoring/normal distribution/random variables/landslide warning/identification of sliding surface引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据