首页|基于InSAR的乌东德水电站库区边坡形变监测及分析

基于InSAR的乌东德水电站库区边坡形变监测及分析

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
  • 维普
水电站建成投产后,水库水位变化频繁,改变了库岸边坡原有的稳定性,易诱发边坡失稳破坏,从而对水电站的安全运行及周边居民区产生一定安全隐患.为了更好地掌握乌东德水电站蓄水过程中库区边坡的形变情况,通过SBAS-InSAR技术对该区域2020 年5 月至2022 年8 月间的升降轨哨兵数据进行解算,获取了研究区的地表形变特征;结合库水位变化情况、SAR数据反演出的边坡土壤含水量后向散射系数,对识别出的5 处不稳定区域的形变机理进行分析.结果表明:运用升降轨InSAR可准确识别出库岸边坡的形变情况,研究区最大年平均沉降速率为-92 mm/a;库岸边坡的形变趋势与库水位及土壤含水量后向散射系数变化有着明显的相关性,水库蓄水是致使边坡体加速沉降的主要因素.
Monitoring and analysis of slope deformation in Wudongde Hydropower Station reservoir area based on InSAR
Following the commissioning of hydropower stations,frequent water level fluctuations in the upstream reservoir area induced by activities such as reservoir storage and flood discharge,alter the original stability of the reservoir bank slopes.This al-teration poses a significant risk of slope instability and damage,thereby impacting the safe operation of the hydropower station and posing potential safety hazards to the surrounding residential areas.To comprehensively understand the deformation of reservoir bank slopes during the impoundment of Wudongde Hydropower Station,sentinel data from ascending and descending orbits were processed using SBAS-InSAR technology for the period from May 2020 to August 2022.This study obtained surface deformation characteristics in the research area.By integrating reservoir water level variations with the SAR-derived slope soil moisture con-tent backscattering coefficient,the deformation mechanisms of five identified unstable areas were analyzed.The results indicate that the use of ascending and descending InSAR accurately identifies the deformation of reservoir bank slopes,with the maximum annual average subsidence rate in the study area reaching-92 mm/a.The deformation trend of reservoir bank slopes exhibits a pronounced correlation with changes in reservoir water levels and soil moisture content backscattering coefficients.Reservoir im-poundment is the main factor causing the accelerated settlement of slope.

slope in reservoir areadeformation monitoringsoil moisture content backscattering coefficientlandslide identifica-tionInSARascending and descendingWudongde Hydropower Station

毕自航、李素敏、袁利伟、蔺瑜

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昆明理工大学 国土资源工程学院,云南 昆明 650093

对地观测数据云南应用研究中心,云南 昆明 650093

云南省高校高原山区空间信息测绘技术应用工程研究中心,云南 昆明 650093

昆明理工大学 公共安全与应急管理学院,云南 昆明 650093

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库区边坡 形变监测 土壤含水量后向散射系数 滑坡识别 InSAR 升降轨 乌东德水电站

国家自然科学基金国家自然科学基金云南省重点研发计划

5236402042161067202301AT070463

2024

10.16232/j.cnki.1001-4179.2024.01.020

人民长江
水利部长江水利委员会

人民长江

CSTPCD北大核心
影响因子：0.451
ISSN：1001-4179
年,卷(期)：2024.55(1)
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