中国地质灾害与防治学报2026，Vol.37Issue(4)：210-218,9.DOI:10.16031/j.cghc.202601010
融合无人机与LiDAR测量的天门洞高位崩塌精细化勘查与稳定性评价
Refined investigation and stability evaluation of high-elevation collapse at Tianmen cave using UAV and LiDAR measurements
摘要
Abstract
To address the core problems of low efficiency,insufficient data accuracy,and substantial ecological disturbance in the exploration of high-elevation collapse hazards,this study develops an efficient,accurate,and environmentally friendly refined investigation technology system.Taking the Tianmen Cave collapse in Zhangjiajie as a typical case,we optimized the integration of UAV oblique photogrammetry,terrestrial 3D laser scanning,and close-range photogrammetry,and constructed a"macro-meso-micro"layered complementary data acquisition scheme.The iterative closest point algorithm and Poisson surface reconstruction method were used to achieve high-precision registration and fusion modeling of multi-source data,and to generate a 3D photorealistic point-cloud fusion model with millimeter-level accuracy.Based on this model,the geometric parameters of structural planes in unstable rock masses were intelligently extracted,and the key mechanical parameter(cohesion)was back-calculated from the collapsed mass,and stability calculations and quantitative benefit evaluation were carried out according to relevant specifications.The three-dimensional fusion model with millimeter accuracy in the study area was successfully constructed,and microcracks(width<1.0 cm)were clearly identified.Based on the cohesion obtained by inversion(c=90 kPa),the stability coefficients of W1-1 and W1-2 that remained uncollapsed were calculated as 1.14 and 1.15,respectively,indicating a critically stable state.Quantitative comparison shows that,compared with traditional manual investigation,the proposed technology system improved fieldwork efficiency by about 40%,reduced the area of vegetation disturbance by about 84%,reduced carbon emissions by about 61%,and improved data extraction efficiency by about 30%.The multi-source data fusion technology system constructed in this study effectively solves the challenges of refined investigation of high and steep terrain and hidden areas,improves the reliability of stability evaluation,and significantly reduces ecological disturbance,forming a scalable green refined investigation solution for high-elevation collapse hazards.关键词
崩塌/精细化勘查/地质灾害/三维建模/无人机测绘/崩塌/稳定性分析/多源数据融合Key words
collapse/refined investigation/geohazards/3D modeling/UAV mapping/collapse/stability analysis/multi-source data fusion分类
天文与地球科学引用本文复制引用
欧阳红军..融合无人机与LiDAR测量的天门洞高位崩塌精细化勘查与稳定性评价[J].中国地质灾害与防治学报,2026,37(4):210-218,9.基金项目
张家界天门山旅游公司崩塌勘查基金项目(2022KZ2022) （2022KZ2022）
