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基于表面与深部位移相协同的滑坡分级预警方法

王东 王艳婷 李广贺 张周爱 周志伟 丁春健

辽宁工程技术大学学报(自然科学版)2024,Vol.43Issue(5):515-523,9.
辽宁工程技术大学学报(自然科学版)2024,Vol.43Issue(5):515-523,9.DOI:10.11956/j.issn.1008-0562.20240277

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

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

分类

矿业与冶金

引用本文复制引用

王东,王艳婷,李广贺,张周爱,周志伟,丁春健..基于表面与深部位移相协同的滑坡分级预警方法[J].辽宁工程技术大学学报(自然科学版),2024,43(5):515-523,9.

基金项目

国家自然科学基金项目(52374124 ()

52204135) ()

辽宁省"兴辽英才计划"项目(XLYC2202004) (XLYC2202004)

第九届青托工程项目(2023QNRC001) (2023QNRC001)

辽宁工程技术大学学报(自然科学版)

OA北大核心CSTPCD

1008-0562

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