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结合SBAS-InSAR与离散元模拟的茂县核桃坪滑坡变形破坏趋势分析 被引量:1

Deformation and Failure Trend Analysis of Hetaoping Landslide in Maoxian County Using SBAS-InSAR and Particle Flow Code
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摘要 为研究核桃坪滑坡的运动学特征,选择Sentinel-1A升轨数据集(2019-02-26~2021-02-27),利用小基线集技术(small baseline subsets, SBAS)获得视线向的时间序列变形,结合离散元颗粒流方法(particle flow code, PFC)模拟预测其变形破坏趋势,同时开展现场地质调查复核。依据坡体表面形变速率以及运动特征识别出滑坡减损带和滑覆堆积区,分析滑坡形变趋势、滑移机制和位移演化特征,讨论主要滑塌体变形原因。结果表明,SBAS-InSAR技术解译结果及PFC数值模拟结果与核桃坪滑坡变形迹象和运动学规律相吻合。基于遥感技术结合数值模拟方法对地质条件复杂的山区滑坡进行稳定性分析具有一定的适用性和可靠性,可作为防灾减灾工作的重要技术手段和决策依据。 To study the kinematic characteristics of Hetaoping landslide,we select Sentinel-1A ascending orbit data set(2019-02-26-2021-02-27),and use small baseline subsets InSAR(SBAS-InSAR)to obtain the time series deformation in the line of sight(LOS)direction.Combined with particle flow code,we predict the deformation and failure trend of the landslide and undertake on-site geological survey.According to the deformation rate and movement characteristics of the slope surface,we identify the depletion zone and sliding accumulation area of the landslide,and analyze the deformation trend,sliding mechanism and displacement change of the landslide,and discuss the main deformation causes of the landslide.The results show that SBAS-InSAR technology and PFC numerical simulation are in good agreement with the deformation signs and kinematic laws of Hetaoping landslide.Remote sensing technology combined with numerical simulation method has high applicability and reliability for landslide stability analysis in mountainous areas with complex geological conditions.It can be used as an important technical means and decision-making basis for disaster prevention and reduction.
作者 王安迪 李龙起 WANG Andi;LI Longqi(State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,China)
出处 《大地测量与地球动力学》 CSCD 北大核心 2023年第7期685-691,共7页 Journal of Geodesy and Geodynamics
基金 国家自然科学基金(41502299)。
关键词 核桃坪滑坡 SBAS-InSAR 空间特征 颗粒流方法(PFC) 变形趋势 Hetaoping landslide SBAS-InSAR spatial characteristics particle flow code deformation trend
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