摘要
水库滑坡是水电工程建设中一种常见的地质灾害,当滑坡滑入库区中可能会引起涌浪、江河堵塞甚至溃坝,从而造成巨大的经济损失和人员伤亡,因此,研究水库滑坡形变特征对如何高效及时地开展对水库滑坡早期识别与监测具有重要意义。以白鹤滩库区为研究区域,基于哨兵一号(Sentinel-1)雷达影像,采用干涉堆叠法(stacking interferometry synthetic aperture radar,简称Stacking-InSAR)、小基线集干涉测量(small baseline subset interferometry synthetic aperture radar,简称SBAS-InSAR)方法开展了广域的活动滑坡灾害识别并获取了白鹤滩库区滑坡蓄水前后的形变信息,结合哨兵二号(Sentinel-2)影像利用自动水体提取指数(automated water extraction index,简称AWEI)提取库区水位数据,选取了形变较大的上升型、下降型、蓄水前形变型滑坡各一个作为典型滑坡,探讨了水库水位波动和降雨与滑坡变形的关系。研究表明:结合Sentinel-2影像利用AWEI提取库区水位数据的方法在研究区的应用效果较好,提取水位与实测水位平均误差为0.89 m,该方法对无水位数据的区域具有研究价值。白鹤滩库区在观测期内升轨、降轨影像共探测出活动滑坡共103个,其中前缘涉水活动滑坡37个,由水位波动引起形变的滑坡有23个。库岸滑坡变形与水位波动有较强相关性,与降雨量相关性较弱,且水位下降对库岸滑坡形变的影响较大。
[Objective]Landslides in reservoir areas represent one of the most prevalent geological hazards in hydropower engineering construction.Landslides in reservoir area,they can generate surge waves,obstruct river channels,and even trigger dam breaches,resulting in significant economic losses and casualties.Therefore,understanding the deformation behavior of reservoir landslides is critical for early identification and monitoring.[Methods]This study employs Stacking Interferometry Synthetic Aperture Radar(Stacking-InSAR)and Small Baseline Subset Interferometry Synthetic Aperture Radar(SBAS-InSAR)techniques with Sentinel-1 data to identify active landslides and analyze deformation patterns in the Baihetan Reservoir area before and after impoundment.In addition,Sentinel-2 imagery and the Automated Water Extraction Index(AWEI)were used to derive reservoir water level variations.Representative landslides exhibiting substantial deformation were selected—one each from asceding-track,descending-track,and pre-impoundment datasets—to analyze the influence of water level fluctuations and rainfall on deformation behavior.[Results and Conclusion]The results demonstrate that the AWEIbased water level extraction method using Sentinel-2 imagery achieved robust performance in the study area.The extracted water levels exhibited a mean error of 0.89 m compared to measured values,confirming the method's reliability for data-scarce regions.A total of 103 active landslides were identified in the Baihetan Reservoir area during the monitoring period through analysis of both ascending and descending orbit images.A total of 103 active landslides were detected in the Baihetan reservoir area during the obervation period,37 exhibited submergence of their front edges,while 23 demonstrated clear deformation responses to water level fluctuations.Reservoir bank landslides showed significantly stronger correlation with water level changes than with rainfall.Notably,drawdown conditions exerted particularly pronounced effects on bank stability,with deformation rates increasing during lowering phases compared to rising water levels.
作者
韦春豪
李为乐
吴章雷
周胜森
王新程
李雪清
李雨森
WEI Chunhao;LI Weile;WU Zhanglei;ZHOU Shengsen;WANG Xincheng;LI Xueqing;LI Yusen(State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,China;Laboratory of Landslide Risk Early-Warning and Control,Chengdu University of Technology,Chengdu 610059,China;Chengdu Engineering Corporation Limited,Power Construction Corporation,Chengdu 610059,China)
出处
《地质科技通报》
北大核心
2025年第4期62-77,共16页
Bulletin of Geological Science and Technology
基金
国家重点研发计划(2021YFC3000401)
四川省重点研发项目(2023YFS0435)
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(SKLGP2022Z007)
自然资源部−四川省合作项目(SCDZRS-2023)。
关键词
白鹤滩库区
INSAR
活动滑坡
识别
自动水体提取指数
水位波动
Baihetan Reservoir area
InSAR
active landslide
identification
automated water extraction index
water level fluctuation
