金沙江上游敏都对岸滑坡遥感调查与堵江溃决模拟OA
Remote sensing investigation and simulation of landslide-induced river blocking and dam-break flood on the opposite bank of Mindu in the upper Jinsha River
[研究目的]为揭示金沙江上游敏都对岸滑坡因斜坡完整性差、变形明显而存在的整体失稳风险,以及可能引发的滑坡—堵江—溃决灾害链,并评估其对重大工程与下游安全的影响.[研究方法]综合运用多源多时相遥感影像动态监测与数值模拟手段,系统分析滑坡变形特征与稳定性,并模拟天然工况与暴雨工况下的堵江—溃决过程.[研究结果]研究结果表明,该滑坡体积约为 682.5×104 m3,为大型滑坡,滑体物质为碎块石土,滑床为云母石英片岩,变形可追溯至 1965 年,变形历程近60 a,目前处于蠕滑—滑动变形阶段,破坏模式为牵引式渐进破坏,可划分为 2 个变形区,天然工况下Ⅰ区欠稳定、Ⅱ区欠稳定—基本稳定.模拟显示,天然工况下Ⅰ区失稳,滑体持续运动时间约 50 s,最大速度约 55 m/s,预计形成堰塞坝高度约 77 m,堰塞湖库容约 1.17×108 m3,洪水至拉哇电站坝址处峰值流量约 1875 m3/s,最大洪峰高度约 8 m;暴雨工况下滑坡整体失稳,预计形成堰塞坝高度约 88m,堰塞湖库容约 1.48×108 m3,洪水至拉哇电站坝址处峰值流量约 2690 m3/s,最大洪峰高度约 11 m.[结论]敏都对岸滑坡失稳后堵江风险高,建议采用天—空—地一体化监测手段进行持续追踪,确保金沙江上游重大工程建设的安全,以及沿江交通设施、人民生命财产的安全.
This paper is the result of landslide remote sensing investigation and numerical simulation.[Objective]This study aims to reveal the overall instability risk of the landslide on the opposite bank of Mindu in the upper Jinsha River,attributed to its poor slope integrity and pronounced deformation,and to assess the potential chain of landslide,river blocking,dam-break flood,as well as its impacts on major engineering works and downstream safety.[Methods]A combined approach of dynamic monitoring using multi-source,multi-temporal remote sensing imagery and numerical simulation was employed to systematically analyze the deformation characteristics and stability of the landslide.The processes of river blocking and dam-break flood under both natural and heavy rainfall conditions were simulated.[Results]The landslide has a volume of approximately 682.5×104 m3,classifying it as a large-scale landslide.The sliding mass consists of debris-filled soil,while the sliding bed is composed of mica-quartz schist.Deformation can be traced back to 1965,spanning nearly 60 years,and the landslide is currently in a creep-sliding deformation stage.The failure mode is a retrogressive progressive failure,and the landslide can be divided into two deformation zones.Under natural conditions,Zone I is in an unstable state,while Zone II ranges from unstable to basically stable.Simulations indicate that under natural conditions,failure of Zone I would result in a sliding mass movement duration of approximately 50 s with a maximum velocity of about 55 m/s,forming a landslide dam with an estimated height of 77 m and a dammed lake capacity of approximately 1.17×108 m3.The resulting flood peak discharge at the Lawa hydropower station dam site would be about 1875 m3/s,with a maximum flood crest height of approximately 8 m.Under heavy rainfall conditions,the entire landslide would become unstable,with an estimated dam height of 88 m and a lake capacity of 1.48×108 m3.The flood peak discharge at the Lawa dam site would reach about 2690 m3/s,with a maximum flood crest height of about 11 m.[Conclusions]The landslide poses a high river blocking risk upon failure.It is recommended to employ an integrated space-air-ground monitoring system for continuous tracking,so as to ensure the safe construction of major engineering projects in the upper Jinsha River and to safeguard the transportation infrastructure along the river as well as the safety of local communities and property.
刘文;王猛;王军;余天彬;董继红;宋班;黄细超
四川省综合地质调查研究所,四川 成都 610081四川省综合地质调查研究所,四川 成都 610081四川省综合地质调查研究所,四川 成都 610081四川省综合地质调查研究所,四川 成都 610081四川省综合地质调查研究所,四川 成都 610081四川省综合地质调查研究所,四川 成都 610081四川省综合地质调查研究所,四川 成都 610081
天文与地球科学
敏都对岸滑坡数值模拟堵江溃决发育特征遥感调查金沙江上游
landslide on the opposite bank of Mindunumerical simulationriver blocking and dam-break flooddevelopment characteristicsremote sensing inverstigationin the upper Jinsha River
《地质通报》 2026 (7)
1299-1312,14
四川省地质调查研究院项目《四川省重大滑坡灾害隐患综合遥感识别监测应用关键技术研究》(编号:SCIGS-CZDXM-2024006)、四川省自然资源厅项目《四川省科技赋能防灾减灾救灾揭榜挂帅项目》(编号:2025YFN0004)、自然资源部项目《部省合作试点四川省滑坡灾害隐患遥感智能防控体系研究》(编号:SCDZRS-2023) Supported by the Project of Sichuan Institute of Geological Survey(No.SCIGS-CZDXM-2024006),the Open Competition Program of the Department of Natural Resources of Sichuan Province(No.2025YFN0004),and the Provincial-Ministry Cooperative Pilot Project of the Ministry of Natural Resources(No.SCDZRS-2023)
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