基于SBAS-InSAR的库区活动滑坡变形特征与库水位变化响应关系: 以四川省黑水县毛尔盖水电站为例
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P237

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国家重点研发计划(2021YFC3000401);四川省重点研发项目(2023YFS0435);长江生态环境保护修复联合研究二期项目(2022-LHYJ-02-0201);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)


Relationship between Deformation Characteristics of Active Landslides in Reservoir Areas and Response to Reservoir Water Level Changes Based on SBAS-InSAR—A case study of Maoergai Hydropower Station in Heishui County, Sichuan Province
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    摘要:

    水库滑坡是水电工程建设中的一种常见地质灾害,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情况,因此如何高效及时地开展对库岸滑坡早期识别与监测具有重要意义。本文利用短基线集干涉测量技术(small baseline subsets interferometric synthetic aperture radar, SBAS-InSAR)对毛尔盖库区开展活动滑坡的探测识别,在此基础上,结合高分辨率光学遥感影像、无人机航空摄影测量以及现场调查对库区典型活动滑坡的变形特征与库水位变化响应关系作了初步分析。通过研究认为:(1)研究区活动滑坡共65处,其中复活型古老滑坡堆积体36处,新孕育型滑坡29处;(2)结合两类典型滑坡来看,坡体变形与库水位快速下降存在正相关关系,且当库水位日平均降速大于0.67m/d时,InSAR时间序列曲线均会出现加速变形的情况;(3)对于短时间内发生的大变形滑坡, SBAS-InSAR技术很难有效捕捉到滑坡失稳前的真实加速变形信息导致不能提前识别和监测,因此结合多时相高分辨率光学遥感影像可以起到有效补充的作用。研究结果可为库岸滑坡的早期识别与监测提供参考。

    Abstract:

    Reservoir landslide is a common geological disaster in hydropower project construction, when the landslide slides into the reservoir area may cause surge, river blockage or even dam failure, thus causing huge economic losses and casualties, so how to efficiently and timely carry out the early identification and monitoring of the reservoir bank landslides is of great significance. This paper utilizes short baseline subsets interferometric synthetic aperture radar (SBAS-InSAR) to detect and identify active landslides in the Maoergai reservoir area, and on this basis, we com-bined high-resolution optical remote sensing images, UAV aerial photogrammetry and on-site investigation to make a preliminary analysis of the relationship between the deformation characteristics of typical active landslides in the reservoir area and the reservoir water level changes response. Through the study, it is concluded that: (1) there are 65 active landslides in the study area, of which 36 are resurrection-type ancient landslide accumulations and 29 are new breeding-type landslides; (2) in combination with the two types of typical landslides, there is a positive cor-relation between the deformation of the slopes and the rapid decline of the reservoir level, and when the average daily rate of decline of the reservoir water level is greater than 0.67 m/d, the accelerated deformation occurs in both the InSAR time-series curves; (3) for large deformation landslides occurring within a short period of time, it is difficult for SBAS-InSAR to effectively capture the real acceleration and deformation information of landslides before destabilization, which leads to the inability to identify and monitor the landslides in advance, therefore, the combination of multi-temporal high-resolution optical remote sensing imagery can play an effective complemen-tary role. The results of the study can provide a reference for the early identification and monitoring of reservoir bank landslides.

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张攀,李为乐,陆会燕,等. 基于SBAS-InSAR的库区活动滑坡变形特征与库水位变化响应关系: 以四川省黑水县毛尔盖水电站为例[J]. 科学技术与工程, 2024, 24(28): 11991-12002.
Zhang Pan, Li Weile, Lu Huiyan, et al. Relationship between Deformation Characteristics of Active Landslides in Reservoir Areas and Response to Reservoir Water Level Changes Based on SBAS-InSAR—A case study of Maoergai Hydropower Station in Heishui County, Sichuan Province[J]. Science Technology and Engineering,2024,24(28):11991-12002.

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  • 收稿日期:2024-01-05
  • 最后修改日期:2024-08-03
  • 录用日期:2024-02-20
  • 在线发布日期: 2024-11-05
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