首页|堆积层滑坡多源遥感动态演变特征分析研究

堆积层滑坡多源遥感动态演变特征分析研究

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堆积层滑坡随库水位变动的响应规律是一个重要的研究课题,以往研究多采用地表位移实时监测数据耦合库水位数据开展分析,然而大多库岸边坡不具有开展专业监测的条件,这给滑坡的历史变形追溯带来一定困难.采用星载与机载平台多源立体化观测技术,从多角度、多尺度监测瀑布沟水电站红岩子滑坡从蓄水至今10余年的变形演化规律.综合研究表明,红岩子滑坡这类蓄水、降雨诱发的蠕滑-拉裂式滑坡具有典型的长期性、缓慢性与季节性特征;长时间序列合成孔径雷达能够较为准确地捕捉到这些特征信息;多期次光学遥感影像比对分析可较为直观地显现出滑坡不同位置宏观变形破坏特征的差异性,机载LiDAR获取的地表点云信息进行植被剔除后可准确识别出长期蠕滑的滑坡要素变化,在以上工作基础上结合地质条件与地表滑坡调查开展工程地质分析,最终研判出滑坡成因机制、变形模式与未来发展趋势.该研究可为类似工程案例研究提供科学的思路和方法,对蓄水诱发的缓慢蠕滑型滑坡的防治提供一定参考.
Multi-source Remote Sensing Dynamic Deformation Monitoring of Accumulation Landslide
Objectives:The response law of ancient(old)landslides in the reservoir area is an important re-search topic.Previous research primarily analyzed real-time surface displacement and reservoir water level data.However,professional monitoring conditions are often lacking on most reservoir bank slopes.This complicates tracking the landslide's historical deformation.Satellite and airborne remote sensing platforms enable multi-scale,long-term monitoring of landslide deformation and damage.Methods:This study em-ploys multi-source three-dimensional observation technologies including aerial,space-based,and terrestrial platforms to monitor the deformation and evolution of the Pubugou Hydropower Station's Hongyanzi land-slide over approximately 10 years.It utilizes unmanned aerial vehicle photography(optical imaging)and light detection and ranging(LiDAR)for detailed topographic mapping and deformation analysis from 2009 to 2020.Additionally,time-series interferometric synthetic aperture radar(InSAR)technology is used to track long-term surface deformations from October 2014 to July 2020.Field investigations have identified typical deformation and failure characteristics of the landslide,incorporating geological conditions and exter-nal factors such as rainfall and reservoir water levels to analyze causal mechanisms and dynamic trends.Re-sults:The irregularly semicircular Hongyanzi landslide spans 20-50 m in thickness,encompasses approxi-mately 15.53 million m3 in volume,and slides at an approximate bearing of 340°.Composed of quaternary pebbled stones,silty sand,and clay,the landslide's bed slopes between 20° and 25°.Its lithology includes Emeishan Formation basalt and Yangxin Formation dolomite.Existing since 2006 or earlier,the landslide features elements like walls and steps.LiDAR imagery from 2009 clearly delineates its boundaries,though it shows no new signs of deformation or failure.Following reservoir impoundment,the reactivated land-slide develops new,widening cracks along its rear edge.Post-reactivation,the landslide predominantly un-dergos uniform deformation,with more significant movement at the trailing edge than the leading edge,without marked acceleration.Heavy rainfall is the most significant control factor,imparting stepwise defor-mation characteristics to the landslide.Conclusions:A comprehensive analysis of multi-source data reveals that phenomena like the Hongyanzi landslide exhibit typical long-term,gradual,and seasonal movements.Long-term InSAR effectively captures these characteristics.Multi-stage optical remote sensing and surface point cloud data from LiDAR,after vegetation removal,enable more intuitive comparisons of macroscopic deformation across different landslide areas.Integrating this with geological assessments and field investiga-tions allows for detailed engineering analyses to ascertain the causes,patterns,and future trends of land-slide activity.

accumulation landslidecreep deformationdeformation evolutionmulti-source stereo obser-vationdata fusion

高志良、解明礼、巨能攀、黄细超、彭涛、何朝阳

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大连理工大学海岸和近海工程国家重点实验室,辽宁 大连,116023

大连理工大学岩石破裂与失稳研究所,辽宁 大连,116023

国能大渡河流域水电开发有限公司,四川 成都,610093

成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川 成都,610059

四川省地质调查院稀有稀土战略资源评价与利用四川省重点实验室,四川 成都,610081

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堆积层滑坡 蠕滑变形 变形演化 多源立体观测 数据融合

四川省科技计划地质灾害防治与地质环境保护国家重点实验室自主研究课题

2022YFG0183SKLGP2020Z006

2024

武汉大学学报(信息科学版)
武汉大学

武汉大学学报(信息科学版)

CSTPCD北大核心
影响因子:1.072
ISSN:1671-8860
年,卷(期):2024.49(8)
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