Article(id=1322567084161217421, tenantId=1146029695717560320, journalId=1281212831689347082, issueId=1322567020940481144, articleNumber=null, orderNo=null, doi=10.14075/j.jgg.2025.04.118, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1744214400000, receivedDateStr=2025-04-10, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793254164972, onlineDateStr=2026-10-29, pubDate=1776182400000, pubDateStr=2026-04-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793254164972, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793254164972, creator=13701087609, updateTime=1793254164972, updator=13701087609, issue=Issue{id=1322567020940481144, tenantId=1146029695717560320, journalId=1281212831689347082, year='2026', volume='46', issue='4', pageStart='392', pageEnd='521', issueExtLink='null', onlineDate='null', pubDate='1776182400000', pubDateStr='2026-04-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793254149899, creator='13701087609', updateTime=1793254149899, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=408, endPage=417, ext={EN=ArticleExt(id=1322567084345766798, articleId=1322567084161217421, tenantId=1146029695717560320, journalId=1281212831689347082, language=EN, title=Deformation Characteristics and Disaster Prediction of the Yingzi Landslide in Jinyang County, Liangshan Prefecture, columnId=null, journalTitle=Journal of Geodesy and Geodynamics, columnName=null, runingTitle=null, highlight=null, articleAbstract=

We integrate multi-source heterogeneous data such as time-series InSAR, LiDAR, engineering geological survey, and drilling to systematically analyze the deformation evolution mechanism of Yingzi landslide in Jinyang county, Liangshan Yi autonomous prefecture, and construct a 3D high-resolution dynamic model that enables real-time forecasting of the hazard process. The results show that: 1) InSAR observations (from 31 Dec 2021 to 15 Dec 2024) reveal that the cumulative displacement of landslide reached -198.01 to 150.51 mm, with the most pronounced deformation localized in zone Ⅰ 1(frontal traction section) and zone Ⅰ 2 (ancient landslide zone). 2) The failure mode follows a compound mechanism of frontal traction-rear compression, which can easily drive shear-plane coalescence and trigger overall instability. 3) Scenario-based simulations indicate that the landslide motion-deposition process lasts about 300 s, with a peak velocity of 55 m/s, and forms a deposit covering 2.96×105 m2 with a volume of 5.84×106 m3 and a maximum accumulation thickness of 58.46 m, posing an extremely high risk of river blockage and collapse flooding disaster chain. 4) It is recommended to densify monitoring networks in zones Ⅰ 1 and Ⅰ 2 to capture abrupt deformation, install anti-slide piles and upgrade drainage system at the front edge of zone Ⅰ 1 to inhibit sliding, and initiate relocation of residents in the affected zone. The outcomes provide technical guidance for deformation mechanisms understanding, dynamic modeling, and risk mitigation of high-elevation and long-runout landslides.

, authors=Yang LI1, Xiong ZHANG1, 2, *, Haokun QIN1, Rui XIE1, Haiquan ZHANG1, authorsList=Yang LI, Xiong ZHANG, Haokun QIN, Rui XIE, Haiquan ZHANG, authorCompany=null, correspAuthors=Xiong ZHANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=All rights reserved. Unauthorized reproduction is prohibited., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322567089248908205, articleId=1322567084161217421, tenantId=1146029695717560320, journalId=1281212831689347082, language=CN, title=凉山州金阳县英子滑坡变形特征分析及致灾预测, columnId=1322566785874908034, journalTitle=大地测量与地球动力学, columnName=特色栏目: 地震大地测量学, runingTitle=null, highlight=null, articleAbstract=

集成时序InSAR、LiDAR、工程地质勘查与钻探等多源异构数据,系统揭示凉山州金阳县英子滑坡变形演化机制,并构建三维精细化动力学模型,实现致灾过程的动态预测。结果表明:1)InSAR监测(2021-12-31—2024-12-15)结果显示,滑坡累积变形量达-198.01~150.51 mm,显著变形区集中于Ⅰ 1区(前缘牵引段)与Ⅰ 2区(老滑坡复活区);2)滑坡破坏模式呈“前缘牵引-后缘推移”复合机制,易诱发滑面贯通并引发整体剪切失稳;3)模拟预测滑坡运动-堆积全过程历时约300 s,峰值速度55 m/s,最终堆积体面积29.6万m2、体积584万m3、最大堆积厚度58.46 m,存在极高堵河-溃决洪水灾害链风险;4)建议对Ⅰ 1、Ⅰ 2区加密监测网络以实时捕捉变形突变,在Ⅰ 1区前缘布设抗滑桩并完善截排水系统以抑制滑移,同时启动影响区居民避险搬迁工程。研究结果可为高位远程滑坡的变形机理认知、动态模拟与风险防控提供技术参考。

, authors=李扬1, 张雄1, 2, *, 覃浩坤1, 谢睿1, 张海泉1, authorsList=李扬, 张雄, 覃浩坤, 谢睿, 张海泉, authorCompany=null, correspAuthors=张雄, authorNote=

李扬, 工程师, 主要从事地质灾害评价、预测及防治研究, E-mail:

, correspAuthorsNote=
张雄, 博士生, 高级工程师, 主要从事地质灾害防治与生态修复研究, E-mail:
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Micro-physical mechanical parameters of the landslide

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微观参数 参数取值
颗粒密度/kg·m-3 20.3
颗粒接触模量/Pa 1.1×106
黏结模量/Pa 1.1×106
黏结刚度比 2
法向黏结强度/Pa 0.6×104
切向黏结强度/Pa 0.6×104
球与球摩擦系数 0.255
球与墙体摩擦系数 0.2
颗粒最小半径/m 2
颗粒最大半径/m 3
颗粒孔隙率 0.3
颗粒数量/个 66 993
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滑体微观物理力学参数

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微观参数 参数取值
颗粒密度/kg·m-3 20.3
颗粒接触模量/Pa 1.1×106
黏结模量/Pa 1.1×106
黏结刚度比 2
法向黏结强度/Pa 0.6×104
切向黏结强度/Pa 0.6×104
球与球摩擦系数 0.255
球与墙体摩擦系数 0.2
颗粒最小半径/m 2
颗粒最大半径/m 3
颗粒孔隙率 0.3
颗粒数量/个 66 993
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凉山州金阳县英子滑坡变形特征分析及致灾预测
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李扬 1 , 张雄 1, 2, * , 覃浩坤 1 , 谢睿 1 , 张海泉 1
大地测量与地球动力学 | 特色栏目: 地震大地测量学 2026,46(4): 408-417
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大地测量与地球动力学 |特色栏目: 地震大地测量学 2026 , 46 (4) : 408 -417
凉山州金阳县英子滑坡变形特征分析及致灾预测
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李扬1 , 张雄1, 2, * , 覃浩坤1, 谢睿1, 张海泉1
作者信息
  • 1 四川省自然资源勘察设计集团有限公司, 成都, 610051
  • 2 地质灾害防治与地质环境保护全国重点实验室, 成都, 610059
通讯作者:
张雄, 博士生, 高级工程师, 主要从事地质灾害防治与生态修复研究, E-mail:
作者简介:

李扬, 工程师, 主要从事地质灾害评价、预测及防治研究, E-mail:

Deformation Characteristics and Disaster Prediction of the Yingzi Landslide in Jinyang County, Liangshan Prefecture
Yang LI1 , Xiong ZHANG1, 2, * , Haokun QIN1, Rui XIE1, Haiquan ZHANG1
Affiliations
  • 1 Sichuan Natural Resources Survey and Design Group Co Ltd, Chengdu 610051, China
  • 2 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu 610059, China
出版时间: 2026-04-15 doi: 10.14075/j.jgg.2025.04.118
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集成时序InSAR、LiDAR、工程地质勘查与钻探等多源异构数据,系统揭示凉山州金阳县英子滑坡变形演化机制,并构建三维精细化动力学模型,实现致灾过程的动态预测。结果表明:1)InSAR监测(2021-12-31—2024-12-15)结果显示,滑坡累积变形量达-198.01~150.51 mm,显著变形区集中于Ⅰ 1区(前缘牵引段)与Ⅰ 2区(老滑坡复活区);2)滑坡破坏模式呈“前缘牵引-后缘推移”复合机制,易诱发滑面贯通并引发整体剪切失稳;3)模拟预测滑坡运动-堆积全过程历时约300 s,峰值速度55 m/s,最终堆积体面积29.6万m2、体积584万m3、最大堆积厚度58.46 m,存在极高堵河-溃决洪水灾害链风险;4)建议对Ⅰ 1、Ⅰ 2区加密监测网络以实时捕捉变形突变,在Ⅰ 1区前缘布设抗滑桩并完善截排水系统以抑制滑移,同时启动影响区居民避险搬迁工程。研究结果可为高位远程滑坡的变形机理认知、动态模拟与风险防控提供技术参考。

凉山州金阳县  /  英子滑坡  /  InSAR  /  滑坡变形  /  灾害预测

We integrate multi-source heterogeneous data such as time-series InSAR, LiDAR, engineering geological survey, and drilling to systematically analyze the deformation evolution mechanism of Yingzi landslide in Jinyang county, Liangshan Yi autonomous prefecture, and construct a 3D high-resolution dynamic model that enables real-time forecasting of the hazard process. The results show that: 1) InSAR observations (from 31 Dec 2021 to 15 Dec 2024) reveal that the cumulative displacement of landslide reached -198.01 to 150.51 mm, with the most pronounced deformation localized in zone Ⅰ 1(frontal traction section) and zone Ⅰ 2 (ancient landslide zone). 2) The failure mode follows a compound mechanism of frontal traction-rear compression, which can easily drive shear-plane coalescence and trigger overall instability. 3) Scenario-based simulations indicate that the landslide motion-deposition process lasts about 300 s, with a peak velocity of 55 m/s, and forms a deposit covering 2.96×105 m2 with a volume of 5.84×106 m3 and a maximum accumulation thickness of 58.46 m, posing an extremely high risk of river blockage and collapse flooding disaster chain. 4) It is recommended to densify monitoring networks in zones Ⅰ 1 and Ⅰ 2 to capture abrupt deformation, install anti-slide piles and upgrade drainage system at the front edge of zone Ⅰ 1 to inhibit sliding, and initiate relocation of residents in the affected zone. The outcomes provide technical guidance for deformation mechanisms understanding, dynamic modeling, and risk mitigation of high-elevation and long-runout landslides.

Jinyang county of Liangshan prefecture  /  Yingzi landslide  /  InSAR  /  landslide deformation  /  disaster prediction
李扬, 张雄, 覃浩坤, 谢睿, 张海泉. 凉山州金阳县英子滑坡变形特征分析及致灾预测. 大地测量与地球动力学, 2026 , 46 (4) : 408 -417 . DOI: 10.14075/j.jgg.2025.04.118
Yang LI, Xiong ZHANG, Haokun QIN, Rui XIE, Haiquan ZHANG. Deformation Characteristics and Disaster Prediction of the Yingzi Landslide in Jinyang County, Liangshan Prefecture[J]. Journal of Geodesy and Geodynamics, 2026 , 46 (4) : 408 -417 . DOI: 10.14075/j.jgg.2025.04.118
近年来,在青藏高原持续隆升、全球气候变暖加剧及地震活动频发的多重动力作用下,我国高山峡谷区崩塌、滑坡、泥石流等灾害的发生频率和规模均呈显著上升趋势[1-2]。云南、贵州、四川等地相继发生多起典型滑坡事件[3-6],造成重大人员伤亡与经济损失。其中,位于构造活跃、地形陡峻的四川省凉山州金阳县天地坝镇唐家屋基村的英子滑坡,是该区域持续蠕滑变形的典型代表,直接威胁下方居民的生命安全、金阳河行洪安全及上方唐家屋基村组团建设,亟需开展系统研究。
在滑坡变形监测方面,许强等[7-8]在“天-空-地”三查体系基础上,进一步提出“天-空-地-内”协同观测框架,通过光学遥感、InSAR、LiDAR、地面传感器及内部结构探测的深度融合,实现滑坡时空演化的高精度刻画。短基线时序InSAR(SBAS-InSAR)可大范围、以mm级精度监测地表形变,已成为滑坡早期识别与长期监测的核心手段。无人机摄影测量与机载LiDAR技术可构建cm级三维地形模型,精细刻画滑坡微地貌特征[9-10],结合现场地质调查、钻探与岩土实验,可查明滑坡体边界、地质结构、变形情况、地下水分布等[11]。在致灾预测方面,数值模拟技术可为滑坡动力过程研究提供重要支撑。光滑粒子流体动力学(SPH)、质点法、CFD及离散元法(DEM)等方法被广泛使用[5, 12]。其中,基于颗粒力学理论的PFC3D离散元法能够精细再现滑坡失稳后的整体运动与局部破坏过程,已被成功用于揭示灾害运动机制及威胁范围评估[13-15],并在滑坡-堵江-溃决洪水灾害链研究中展现出良好的适用性[16-17]。
本文以英子滑坡为研究对象,构建“多源技术融合”研究模式:结合SBAS-InSAR广域形变探测与LiDAR高精度地形建模,实现宏观变形场与微观地表形态重构;整合地质钻探、原位测试与岩土力学实验,揭示滑坡内部结构与力学参数;基于PFC3D颗粒流离散元技术,动态预测滑坡致灾全过程。
英子滑坡所在的金阳县位于凉山彝族自治州东部边缘(图 1),该县城地处较为偏僻,交通不便[18]。英子滑坡位于金阳县县城东南侧,金阳河左岸斜坡,隶属金阳县马依足乡唐家屋基村,北接木腊沟组团,南至下瓦溪沟一带(务科村组团),东邻唐家屋基村组团规划区,西至金阳河右岸,滑坡中心地理位置为103°15′40.18″E、27°41′10.67″N,后缘有S208公路穿过。
根据滑坡周围地形地貌特征及地层变化情况,结合坡体现状变形特征圈定地质灾害体区域边界。研究区划分为滑坡区(Ⅰ区)、滑坡堆积区(Ⅱ区)以及崩塌堆积区(Ⅲ区),其中,滑坡区根据变形发育特征以及地貌特征进一步细分为牵引变形区(Ⅰ 1区)、老滑坡区(Ⅰ 2区),滑坡堆积区根据坡表冲沟发育特征和垮塌情况划分为Ⅱ 1区、Ⅱ 2区,具体分区如图 1所示。
Ⅰ区滑坡整体主滑方向为305°,滑坡范围纵向长约625 m,横向宽525~635 m,滑坡区面积0.36 km2。根据钻孔和探槽揭露,滑体平均厚度为18 m(图 2),下伏基岩为奥陶系上统(O3)灰岩夹页岩,体积约648万m3。滑坡前缘剪出口位于陡缓变换土岩交界面(图 1(d)),后缘以省道S208外侧陡坎、拉张裂缝LF2、LF1为界限(图 1(a)),左侧与下瓦溪沟沟岸相邻,边界以山脊线、冲沟为依据划分(图 1(c)),右侧以冲沟为界(图 1(b)),冲沟陡壁可见基岩。Ⅰ区主要由两个部分组成,分别为老滑坡区Ⅰ 2区以及受老滑坡牵引影响的牵引变形区Ⅰ 1区。Ⅰ 2区后缘高程1 380~1 390 m,前缘高程1 225~1 270 m,相对高差135 m,纵向长约500 m,横向宽500~600 m,目前坡表主要为耕地,坡面形态呈平台-缓坡状;Ⅰ 1区主要为老滑坡滑动形成的陡坎上方斜坡区域,为一缓坡,坡度约15°。
Ⅱ区位于斜坡下部,根据地貌特征以及变形情况,可分为Ⅱ 1区、Ⅱ 2区(图 1),Ⅱ 1区位于斜坡下部右侧区域,Ⅱ 2区位于斜坡下部左侧区域。Ⅱ区沿金阳河岸坡坡脚走向延伸,剪出口位于侵蚀基准面附近,金阳河阶地平台宽20~35 m,与河谷高差为5~10 m。
Ⅲ区位于斜坡体下部,Ⅱ 2滑坡堆积体左侧,地形上为一凹地形,坡体物质组成主要为崩坡积物,为早期崩塌堆积体(图 1),碎块石土层胶结较好。该堆积体滑坡后缘高程1 060~1 120 m,前缘以金阳河侵蚀基准面为界,相对高差约165 m,两侧以山脊线为界。根据现场调查,上部土体垮塌后形成陡崖裸露基岩,基岩条带宽340 m,高40 m,岩性为奥陶系上统(O3)灰岩夹页岩。
为了全面分析英子滑坡的变形演化规律,从ASF Data Search收集2021-12-31—2024-12-15的83景Sentinel-1降轨数据影像,利用SBAS-InSAR技术经过连接图生成、干涉处理、SBAS反演、地理编码等步骤对该区域进行变形分析(图 3)。干涉处理阶段利用GACOS数据对干涉像对进行大气校正处理[19],结果中的变形量方向为LOS方向,该方向为沿着卫星到地面点的线性方向,规定地面点形变致使其远离卫星时LOS向观测结果为负值(沉降),反之则为正值(隆升)。
2021-12-31—2024-12-15期间滑坡及周边区域累积变形量为-198.01~150.51 mm(图 4),监测点时序变形如图 5所示。可以看出,发生明显沉降变形的区域主要为:英子滑坡后缘公路边坡、英子滑坡范围、滑坡前缘外侧陡坡、Ⅱ 1区(滑坡堆积区)、Ⅱ 2区(滑坡堆积区)、Ⅲ区(崩塌堆积区),以下将结合InSAR结果以及现场踏勘情况进行分析。
InSAR结果显示(图 4),Ⅰ 1区(牵引变形区)变形速率为27.80 mm/a,最大累积变形量为9.91 mm。结合现场调查发现,Ⅰ 1区(牵引变形区)后缘可见多条张拉裂缝,暂未形成贯通性的后缘裂缝,前缘陡壁下方坡体上可见鼓胀裂缝,坡体上电线杆歪斜、倒塌,局部陡坎处土体垮塌。其中在英子滑坡后缘由于公路修建开挖(图 6(a)),导致该道路边坡变形明显(图 5监测点1),累积变形量达91.31 mm,同时弃渣堆积于公路外侧坡体上,导致已建抗滑桩一侧地面沉降1 m(图 6(b))。2-2’剖面线附近的房屋墙体出现严重开裂(LF1),该裂缝位于图 5监测点2附近,累积变形量达8.91 mm,走向210°~240°,墙体拉开宽度4~7 cm,竖向拉开长度2~3 m,裂缝下宽上窄(图 6(c))。在滑坡后缘边界处发育一处裂缝(LF2),走向与LF1基本一致,延伸长度2~5 m,裂缝宽度3~5 cm,可见深度约6 cm(图 6(d))。在Ⅰ 1区左前侧平行发育2条拉张裂缝(LF3),走向约215°,延伸长度2~5 m,拉开宽度3~5 cm,可见深度约6 cm(图 6(e))。在Ⅰ 1区左侧前缘发现一条由牵引变形区蠕滑膨胀挤压形成的裂缝(LF4),延伸长度约15 m,宽度3~5 cm,可见深度约5 cm,错移高度约5 cm(图 6(g))。LF5与LF4走向一致,均位于Ⅰ 1区左侧前缘,LF5延伸长度较短,但形成了空洞,深度达20 cm(图 6(h))。总体来看,Ⅰ 1区(牵引变形区)变形迹象强烈,老滑坡滑动后形成的高陡滑坡壁为其创造了良好的前缘临空条件(图 6(i)),且在降雨入渗作用下,滑坡后部荷载不断增加,一定程度上增加了滑体自重,增大了下滑力,且抗剪强度大大降低,后部牵引变形区在滑移变形过程中对中前部滑坡区施加了推移力。
Ⅰ 2区(老滑坡区)变形速率为61.63 mm/a,最大累积变形量为198.01 mm。现场调查发现,坡体前缘斜坡中部地形陡缓交界处岩土体多年来出现不同程度的局部垮塌,在坡脚形成滑坡堆积体。其中滑坡中部发育一处明显裂缝LF6,裂缝位于2-2’剖面滑坡中部,走向215°~220°,延伸长度1.5 m,拉开宽度4 cm,可见深度5 cm(图 7(a))。该裂缝位于监测点3附近,累积变形量为-113.61 mm,形变速率为-33.59 mm/a。滑坡前缘下错变形较大,该变形区位于监测点4附近,形变速率为66 mm/a,累积变形量为198.01 mm,是滑坡区内变形最大的区域,位于坡表中前部。这是由于在坡表中间发育一条宽8 m、深5~10 m的冲沟(图 6(i)),自Ⅰ区后缘延伸至前缘,该冲沟与前缘陡坡坡表上树枝状分布的冲沟连通,坡表降水流向金阳河方向时,冲沟内汇集大量坡表水流,持续浸润、冲刷滑坡前缘坡顶开口线附近的岩土体,造成滑坡前缘坡顶开口线附近局部土体发生不同程度的垮塌及滑移现象(图 7(b))。由图 5可以看出,监测点4最先发生明显变形,滑体上其余监测点随着监测点4变形而被牵引,该滑坡整体变形破坏表现出以前缘强烈变形区土体的局部垮塌为主的渐进式破坏,持续向后牵引上部缓坡区的岩土体蠕动变形。
综合现场调查及InSAR分析,Ⅰ区目前整体处于基本稳定状态,而滑坡前部(前缘垮塌区)与后部(牵引变形区)在不利工况下易转化为欠稳定状态。因此,英子滑坡在后缘推移与前缘牵引的共同作用下,易产生贯通的滑动面,并沿此面发生整体剪切破坏,其破坏模式为前缘牵引为主,后缘推移为辅的变形破坏模式。
Ⅱ区主要为早期滑坡堆积层,物质组成主要为碎块石土层,胶结较好,变形主要位于Ⅱ 2区范围内(图 4),监测点6为该区变形特征点(图 5),变形速率为-16.60 mm/a,累积变形量为38.91 mm。该区坡表发育多条冲沟,且Ⅰ区坡体中部冲沟与该区冲沟连通,降雨期间坡体上部地表径流向Ⅱ 2区汇集,冲刷该区坡表土体,造成该区表层土体溜滑。Ⅱ 1区坡表植被发育较好,冲沟不发育,且坡度较缓,为10°~15°,坡表未见明显的变形破坏迹象。结合监测点5时序变形(图 5)可知,该区变形速率约为6.22 mm/a,较为稳定。综上,Ⅱ区变形以Ⅱ 2区上部冲沟两侧浅表层土体溜滑为主。
Ⅲ区坡体物质组成主要为崩坡积物,目前上部土体垮塌后形成基岩陡壁,基岩条带宽340 m,高40 m,岩性为奥陶系上统(O3)灰岩,最近一期垮塌体堆积于斜坡下部坡体表面,堆积面积1.9万m2,厚度3~4 m,堆积方量约6万m3,堆积休止角35°。下部崩塌堆积体坡度整体约20°,小于自然休止角35°,结合监测点7时序变形(图 5)可知,该区变形速率为18.44mm/a,变形区主要表现为上部基岩条带的崩落以及表层土体在雨水冲刷侵蚀下的溜滑现象,坡体整体较为稳定。
通过以上研究发现,该滑坡及周边区域中的Ⅱ区(滑坡堆积区)和Ⅲ区(崩塌堆积区)较为稳定,但Ⅰ 1区仍在持续发生蠕滑,故对Ⅰ区开展进一步的灾害预测研究。前期已通过踏勘、钻探与土工实验等方式查明Ⅰ区边界、地质结构以及滑体物理力学性质,在此基础上建立滑坡三维数值模型(图 8)。建模关键步骤如下:1)开展虚拟三轴实验标定岩土体微观参数,并利用LiDAR对场地进行扫描,得到三维高精度模型;2)应用无人机航测等高线、LiDAR获取的高精度点云以及剖面线数据,基于Rhino建模软件建立精细化三维数值模型;3)分别将地形文件与滑体文件导入PFC3D,在滑体中填充球体颗粒(使用标定微观参数),最终得到滑坡动力学数值模型。
通过PFC3D中的三轴压缩实验可以确定岩土体的宏观应力-应变曲线,因此可以利用颗粒之间的微观参数表征岩土体的宏观参数,若PFC3D的常三轴实验曲线数据能与现实宏观参数吻合,则该参数即为该土体可靠的微观参数。该滑体中共生成66 993个颗粒,为了更好地模拟滑坡,三轴实验中的颗粒半径须与滑坡模型保持一致[15],故建立高200 m、直径100 m的土体三轴实验模型(图 8)。
经物理力学实验测得该滑坡体的宏观物理力学参数:饱和密度为2 030 kg/m3,饱和内摩擦角为1.8°,饱和黏聚力为19.5 kPa。为了方便标定微观参数,以破坏点的轴向应力σ1为纵坐标,围压σ3为横坐标,绘制关系曲线[19],并按下式求得黏聚力c和内摩擦角φ:
$\begin{aligned}c =\frac{\sigma_c(1-\sin \varphi)}{2 \cos \varphi}\end{aligned}$
$\begin{aligned}\varphi =\arcsin \left(\frac{m-1}{m+1}\right)\end{aligned}$
式中,σc为直线与纵坐标的截距(单位kPa);m为直线斜率;c为土体黏聚力(单位kPa);φ为土体内摩擦角(单位°)。
根据上式得出σc=48.854 kPa,m=1.569 2。滑体最大深度接近30 m,故围压σ3分别取200 kPa、400 kPa、600 kPa,轴向应力和围压的关系可表示为:
$\sigma_1=m \times \sigma_3+\sigma_c$
由图 9、10可以看出,通过不断调整参数与模拟,得到了合理的轴向应力峰值,该峰值与实测轴向应力峰值较为吻合,不同围压下的三轴实验结果表现出与现实岩土体一致的力学性质。结合已有滑坡离散元研究,摩擦系数取值0.20~0.35,考虑到复杂的地形和植被特征,以及移动过程中滑坡对地表的刮擦和气垫效应,为了得到最危险工况下的模拟结果,本次模拟设置坡面摩擦系数为0.2,具体参数如表 1所示。
图 11为英子滑坡的整体运动过程云图,图 12为英子滑坡颗粒平均速度、位移与加速度特征。可以看出,英子滑坡运动-堆积全程历时300 s,颗粒最大平均速度达16 m/s。英子滑坡滑源区位于金阳河上方,滑源区平均坡度为20°,滑源区下方与金阳河相接处的坡体较为陡峭(约为35°),“靠椅状”地形使得滑体具有良好的临空面。0~10 s时,重力作用下的滑源区后缘发生明显沉降,滑体前缘沿着凹凸不平的陡峭坡面向金阳河急速滑动;10~20 s时,滑坡前中部倾泻而下,滑坡前缘释放的大量重力势能转化为动能,前缘部分颗粒迅速冲入金阳河,加速度维持10 s稳定状态后又急剧下降;T=33 s时,颗粒平均速度迅速攀升至峰值16.08 m/s,且滑坡前缘已在金阳河形成小规模的堵塞,随着滑坡体中后部向前推移,大量颗粒集中在滑体中下部,逐渐向金阳河左岸坡体上方堆积;40~50 s时,滑坡右前侧的冲沟中逐渐积淤大量土体;60~70 s时,70%的滑体已进入金阳河,滑源区仅存两块残留区;T=110 s之后,滑源区左侧的残留物基本冲入河道,河道中的颗粒已使金阳河出现大量淤塞,滑源区仅剩长条状残留区,残留区前缘仍向坡下不断滑动,此时所有颗粒的平均速度已降到2 m/s以下;直到T=300 s时,颗粒基本停止运动,最终颗粒平均位移为797.51 m。
英子滑坡能量变化如图 13所示。滑坡过程能量监测显示,总重力势能释放量达28.83×1011 J,其中摩擦耗能占比49.99%(14.41×1011 J),阻尼耗能占比49.14%(14.17×1011 J),两者共同主导能量消耗;应变能峰值仅0.25×1011 J,占总耗能的0.87%,可忽略不计。动能于33 s达到峰值(1.81×1011 J),占此时重力势能释放量的15.73%,随后因颗粒-地形及颗粒间持续摩擦碰撞而急剧衰减,最终归零。这表明,滑坡运动的终止源于摩擦与阻尼机制对动能的消耗。
将离散元模拟结果的点数据导入GIS,转为栅格数据,即可获取英子滑坡堆积区及部分残留区的厚度空间分布(图 14)。整体来看,英子滑坡运动结束后,主要可分为滑坡残留区与河道之间的堆积区。经过统计计算可知,滑坡残留区面积为6.08万m2,体积为54.74万m3;滑坡堆积区面积为29.6万m2,体积为584万m3。滑源区正下方堆积区横断面最宽,约为508 m,堆积区沿着金阳河向两侧展布,纵向长约1 064 m,最大厚度可达58.46 m(图 15)。
剖面A-A′展示了沿金阳河河道的滑坡堆积区的厚度分布规律(图 15)。从金阳河流动方向看,水平距离为100~200 m时形成小土丘,最大厚度达25 m;随后抵达英子滑坡滑源区正下方,水平距离为300~600 m时,堆积区平均厚度可达40 m;直到水平距离大于1 000 m时,堆积区厚度减小为8 m左右。剖面B-B′展示了金阳河道两岸滑坡堆积区的厚度分布规律(图 15),堆积区厚度呈振荡变化,最大厚度出现在金阳河左岸岸坡上,为58.46 m;剖面线水平距离大于430 m后,厚度骤然减小。剖面C-C′展示了英子滑坡残留区厚度分布规律(图 15),残留区两侧较薄,水平距离在50~300 m时,残留区平均厚度可达9 m,最大厚度达到11 m。
1) 英子滑坡变形机制表现为“前缘牵引-后部推挤”的复合模式。InSAR长时序监测(2021-12-31—2024-12-15)结果显示,滑坡及周缘累积变形量为-198.01~150.51 mm,变形集中在Ⅰ 1区(后缘牵引区)与Ⅰ 2区(老滑坡区)。现场调查发现,贯通性冲沟在雨季汇集坡面径流,持续冲刷并浸润前缘坡顶岩土体,诱发局部滑塌。InSAR时序曲线进一步揭示,滑坡先由前缘垮塌启动,呈渐进式破坏,并持续牵引后部岩土体蠕滑。同时,Ⅰ 2区老滑坡滑后形成的高陡滑坡壁使Ⅰ 1区临空面扩大,下滑力骤增而抗剪强度锐减,对中前部产生强烈推挤。在前缘牵引与后部推挤的协同作用下,滑坡整体蠕滑不断加剧。
2) 英子滑坡从启动至堆积完成历时约300 s。受“靠椅状”地形控制,滑体拥有良好临空面,仅在滑坡发生后33 s颗粒平均速度跃升至峰值16.08 m/s,随后迅速衰减。T=110 s时,滑源区左缘残留物已基本冲入金阳河,在河道内形成显著淤塞;至300 s时,滑源区仅余右侧长条状残留带,滑坡运动过程结束。
3) 运动终止后,滑体可分为两大区域:残留区与河道堆积区。残留区面积6.08万m2,体积54.74万m3;堆积区面积29.6万m2,体积584万m3。堆积体横断面最宽处508 m,沿金阳河纵向延伸1 064 m,最大厚度58.46 m。巨量堆积体瞬间堰塞河道,上游村庄被蓄水淹没,存在极高溃决洪水灾害链风险。
4) 建议在Ⅰ 1区(牵引变形区)、Ⅰ 2区(老滑坡区)及贯通冲沟沿线加密布设多源监测设备,实时协同解析Ⅰ 1区牵引与Ⅰ 2区推挤的动态机制,为精准预警提供科学依据。在Ⅰ 1区前缘(施工条件便利处)布设抗滑桩,桩体须深入滑床并满足嵌固长度,以遏制后部高陡临空诱发的推挤变形;同步完善截排水系统,切断地表水入渗路径,消除地下水对滑带的软化效应。立即启动滑坡运动-堆积影响范围内居民的避险搬迁,科学遴选地质安全场地进行安置,从根本上化解灾害威胁。
  • 四川省自然资源厅科技项目(KJ-2024-001)
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doi: 10.14075/j.jgg.2025.04.118
  • 接收时间:2025-04-10
  • 首发时间:2026-10-29
  • 出版时间:2026-04-15
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  • 收稿日期:2025-04-10
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四川省自然资源厅科技项目(KJ-2024-001)
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    1 四川省自然资源勘察设计集团有限公司, 成都, 610051
    2 地质灾害防治与地质环境保护全国重点实验室, 成都, 610059

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张雄, 博士生, 高级工程师, 主要从事地质灾害防治与生态修复研究, E-mail:
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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