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面向山区公路弃渣场滑坡风险管控的"天—空—地"一体化智慧监测研究

吴美 汪斌 刘惠妹 徐伟恒 王秋华 刘运

水土保持通报2025,Vol.45Issue(2):136-150,180,16.
水土保持通报2025,Vol.45Issue(2):136-150,180,16.DOI:10.13961/j.cnki.stbctb.2025.02.015

面向山区公路弃渣场滑坡风险管控的"天—空—地"一体化智慧监测研究

Integrated space-air-ground intelligent monitoring for landslide risk managment at highway waste disposal sites in mountainous area

吴美 1汪斌 2刘惠妹 3徐伟恒 4王秋华 5刘运1

作者信息

  • 1. 西南林业大学林学院,云南 昆明 650224
  • 2. 云南今禹生态工程咨询有限公司,云南 昆明 650233
  • 3. 西南林业大学大数据与智能工程学院,云南 昆明 650224
  • 4. 西南林业大学大数据与智能工程学院,云南 昆明 650224||西南林业大学森林生态大数据国家林业和草原局重点实验室,云南 昆明 650224
  • 5. 西南林业大学土木工程学院,云南 昆明 650224
  • 折叠

摘要

Abstract

[Objective]Real-time monitoring and scientific early warning of landslide risk at waste disposal areas along mountainous highway from three perspectives-space,air,and ground were conducted to provide key data and technical support for accurately monitoring the safety status of slag abandonment sites.The results provide a theoretical reference for the formulation of landslide risk assessment and control strategies for waste disposal areas.[Methods]Xuanwe-Qujing Expressway waste disposal areas(38#,41#,and 45#)were selected as the research objects,and a real-time dynamic waste disposal area landslide safety early warning and monitoring platform was constructed using modern monitoring and network communication technologies.By integrating satellite remote sensing technology and unmanned aerial photogrammetry with ground sensors,the pattern of slope feature variation and surface deformation in the waste disposal areas from 2015 to 2024 at multi-spatial and multi-temporal scales was analyzed.In addition,the early warning of landslide risk was determined by utilizing evidence of cumulative deformation and deformation rate.[Results]① Vegetation was gradually reestablished within the disturbed areas,and the overall vegetation coverage of the waste disposal areas in 38#,41#,and 45# increased by an average of 50%from 2018 to 2024.② The actual disturbed areas of 38# and 41# were only 0.04 beyond the designed disturbed area,whereas the disturbed range of 45# remained unchanged.Furthermore,the amount of slag and disturbed area,maximum pile height,slope,and slope ratio were in line with the stability requirements for landslides,indicating that the overall slopes of the waste disposal areas maintained a stable state,and the possibility of landslide risk was low.③ The total average deformation rate of each monitoring point showed that cumulative deformation in the direction of 41 # JCD3-elevation reached a maximum value of 1 815.4 mm,which is within the critical interval of cumulative deformation with respect to warning level,and the landslide deformation exhibited a decreasing trend.Thus,the likelihood of landslide risk is reduced.[Conclusion]Based on the early warning judgment method,the landslide warning level of different waste disposal areas was level Ⅰ(the lowest risk level),and when the cumulative amount of displacement reached the preset threshold that triggered the early warning system,the intelligent space-air-ground monitoring performance was effectively verified.

关键词

山区公路/弃渣场/天空地一体化/滑坡风险/智慧监测

Key words

mountainous highway/waste disposal sites/space-air-ground integration/landslide risk/intelligent monitoring

分类

交通运输

引用本文复制引用

吴美,汪斌,刘惠妹,徐伟恒,王秋华,刘运..面向山区公路弃渣场滑坡风险管控的"天—空—地"一体化智慧监测研究[J].水土保持通报,2025,45(2):136-150,180,16.

基金项目

国家自然科学基金地区资助项目"遥感三维绿量支持下的城市生态质量定量评价"(32060320) (32060320)

云南省基础研究计划面上项(202101AT070039) (202101AT070039)

云南省"万人计划"青年拔尖人才专项(YNWR-QNBJ-2020047) (YNWR-QNBJ-2020047)

云南省重大科技专项(202202AD080010) (202202AD080010)

水土保持通报

OA北大核心

1000-288X

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