Analysis on Deformation Characteristics of Landslides Based on Comprehensive Monitoring
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摘要: 为定量描述滑坡空间变形特征,在对滑坡体地形地貌和地质构造勘察基础上,采用全球定位系统地表绝对位移监测、光纤光栅深部变形监测和自动拉线式裂缝变形监测综合监测技术,结合重庆市玉台村滑坡裂缝变形特点,综合分析玉台村滑坡空间变形规律和失稳破坏机制。结果表明:1)综合全球定位系统监测、光纤监测和自动拉线式裂缝监测的方法有利于从地表变形、深部变形和裂缝变形方面对玉台村滑坡三维变形特征进行全面分析,是一种高效经济、优势互补的监测方法。2)玉台村滑坡表现出深层滑体的阶段性变形特征。在失稳前期,滑体后部整体滑动速率较快,变形量随时间近似呈线性增长,且地表变形监测数据的波动对降雨有较强的响应。随着滑动的持续,后缘裂缝变形逐渐退出增长阶段,靠近中部滑体的裂缝变形仍较为活跃,变形差异与地形陡缓有关。3)不利的地形与汇水条件、连续降雨、基岩隔水性以及坡前切脚与坡后堆载构成了滑坡变形的主控因素。Abstract: In order to quantitatively describe the spatial deformation characteristics of landslides, based on the survey of the topography, landform and geological structure of Yutaicun Village Landslide in Chongqing, advanced comprehensive monitoring technology including absolute surface-displacement monitoring by GPS, deep deformation monitoring by Fiber Bragg Grating and crack-deformation monitoring by automatic pull-lines were conducted. Combined with the characteristics of crack deformation of Yutaicun Village Landslide, the spatial deformation law and instability failure mechanism of the landslide were analyzed comprehensively. The results showed that: 1) The comprehensive monitoring methods were conducive to comprehensive analysis of the three-dimensional deformation characteristics of Yutaicun Village Landslide in terms of surface deformation, deep deformation and crack deformation. It was an efficient, economical, and complementary monitoring method. 2) The deformation monitoring data of Yutaicun Village Landslide showed the characteristics of phased deformation for deep sliding bodies. In the early stage of instability, the overall sliding rate of the rear part of the landslide was relatively faster, and the amount of deformation increased approximately linearly with time, and the fluctuation of the surface monitoring data had a strong response on rainfall. With the development of sliding, the crack deformation at the trailing edge gradually withdrew from the growth stage, and the crack deformation near the middle sliding body was still more active, and the difference in deformation was related to the steep terrain. 3) The unfavorable terrain and water catchment condition, continuous rainfall, water resistance of bedrock, front cut slope and back-slope stacking constitute the main controlling factors for landslide deformation.
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Key words:
- landslide /
- comprehensive monitoring /
- deformation analysis /
- sliding mechanism
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[1] 崔鹏.中国山地灾害研究进展与未来应关注的科学问题[J].地理科学进展,2014,33(2):145-152. [2] 刘虎虎,缪海波,陈志伟,等.三峡库区侏罗系顺层滑坡滑带土的剪切蠕变特性[J].岩土工程学报,2019,41(8):1573-1580. [3] 朱元甲,贺拿,钟卫,等.间歇型降雨对堆积层斜坡变形破坏的物理模拟研究[J].岩土力学,2020,41(12):1-11. [4] 张泰丽,周爱国,孙强,等.基于深部位移监测的浙江省中林村滑坡变形特征分析[J].地质科技情报,2017,36(3):212-217. [5] 谭运钊,王正祥.乌东德水电站金坪子滑坡变形监测综合分析[J].人民长江,2015,46(14):91-93. [6] 冯振,金福喜,龚裔芳.红砂岩顺层边坡监测及变形破坏分析[J].岩石力学与工程学报,2011,30(增刊2):4078-4086. [7] HUANG F,WU P,ZIGGAH Y Y. GPS monitoring landslide deformation signal processing using time-series model[J]. International Journal of Signal Processing,Image Processing and Pattern Recognition,2016,9(3):321-332. [8] ZHANG Y,MENG X M,DIJKSTRA T A,et al. Forecasting the magnitude of potential landslides based on InSAR techniques[J]. Remote Sensing of Environment,2020,241:111-118. [9] 赵永红,王航,张琼,等.滑坡位移监测方法综述[J].地球物理学进展,2018,33(6):2606-2612. [10] 许强,董秀军,李为乐.基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J].武汉大学学报(信息科学版),2019,44(7):957-966. [11] 刘洋,李世海,刘晓宇.拉线式滑坡地表位移实时监测系统应用实例[J].中国地质灾害与防治学报,2011,22(4):24-31. [12] SUN Y J,ZHANG D,SHI B,et al. Distributed acquisition, characterization and process analysis of multi-field information in slope[J]. Engineering Geology,2014,182(A):49-62. [13] 万华琳,蔡德所,何薪基,等.高陡边坡深部变形的光纤传感监测试验研究[J].三峡大学学报(自然科学版),2001(1):20-23. [14] 王相超.地质灾害诱发的输油管道变形光纤监测技术研究[D].南京:南京大学,2019. [15] 黄润秋.论滑坡预报[J].国土资源科技管理,2004,21(6):15-20. [16] 顾冬生,郭正兴,吴刚,等.土木工程施工过程的光纤光栅监控技术[J].工业建筑,2006,36(1):54-57. [17] 赵能浩,易庆林.泥儿湾滑坡失稳机制及破坏后运动规律研究[J].防灾减灾工程学报,2016,36(6):984-993. [18] 管琪,易武.陈家湾尾矿库不稳定边坡变形特征及滑动机制分析[J].三峡大学学报(自然科学版),2018,40(4):39-42.
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