| 基于多时相InSAR技术的黄河上游龙羊峡库区不稳定边坡识别与形变监测 |
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| 引用本文： | 费新峰,田 野,赵超英,,,刘海敏,陈恒祎.基于多时相InSAR技术的黄河上游龙羊峡库区不稳定边坡识别与形变监测[J].延边大学理工学报,2023,0(3):578-589. |
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| 作者姓名： | 费新峰 田 野 赵超英 刘海敏 陈恒祎 |
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| 作者单位： | (1. 国家电投集团青海黄河电力技术有限责任公司,青海 西宁 810003; 2. 长安大学 地质工程与测绘学院,陕西 西安 710054; 3. 长安大学 西部矿产资源与地质工程教育部重点实验室,陕西 西安 710054; 4. 长安大学 自然资源部生态地质与灾害防控重点实验室,陕西 西安 710054) |
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| 摘 要： | 黄河上游龙羊峡水库的建设改变了两岸的水文地质条件,库区水位周期性升降引起的渗透和侵蚀导致库岸坍塌和滑坡局部变形,非常有必要开展不稳定边坡的识别与监测,为库区坡体失稳因素研究以及预警预报提供技术支撑。采用2015年1月至2021年8月升降轨Sentinel-1A SAR影像,基于相干点目标分析(IPTA)方法对龙羊峡库区边坡进行识别,共识别出15处不稳定边坡。其中,查纳滑坡历史上多次发生塌滑现象,现今仍处于活跃状态,对库区人民生命财产与大坝工程安全造成潜在威胁,为此对查纳滑坡开展重点监测。首先,采用DS-InSAR技术获取该滑坡升降轨雷达视线向(LOS)形变; 然后,结合升降轨形变结果进行二维时序形变分解; 最后,采用小波分析定量分析了地表时序形变反演结果与降雨量、库区水位变化的相关性。结果表明:DS-InSAR技术获取的形变场比相干点目标分析方法更加完整; 查纳滑坡东部坡体位移大于中部与西部坡体位移,且垂直向位移大于东西向位移; 查纳滑坡位移时间序列与降雨量序列相关性不高,降雨可能不会显著促进滑坡的位移; 滑坡位移与库区水位均具有很强的年度周期变化,并且滑坡位移时间序列滞后库区水位序列约半年。
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| 关 键 词： | 边坡识别 相干点目标分析方法 DS-InSAR技术 形变监测 二维分解 小波分析 查纳滑坡 黄河 |
Identification and Deformation Monitoring of Unstable Slopes in Longyangxia Reservoir Area,the Upper Reach of Yellow River,China Based on Multi-temporal InSAR Technology |
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| FEI Xin-feng,TIAN Ye,ZHAO Chao-ying,,' target="_blank" rel="external">,LIU Hai-min,CHEN Heng-yi.Identification and Deformation Monitoring of Unstable Slopes in Longyangxia Reservoir Area,the Upper Reach of Yellow River,China Based on Multi-temporal InSAR Technology[J].Journal of Yanbian University (Natural Science),2023,0(3):578-589. |
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| Authors: | FEI Xin-feng TIAN Ye ZHAO Chao-ying " target="_blank">' target="_blank" rel="external"> LIU Hai-min CHEN Heng-yi |
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| Abstract: | The construction of Longyangxia reservoir on the upper reach of Yellow River has altered the hydrogeological conditions on both banks. Infiltration and erosion caused by the periodic rise and fall of the reservoir water level have led to the collapse of the reservoir banks and the local deformation of landslides. Therefore, it is necessary to identify and monitor the unstable slopes, in order to provide technical support for the study of slope instability factors as well as early warning and forecasting in the reservoir area. Both Sentinel-1A SAR images of the ascending and descending orbits from January 2015 to August 2021 were involved to identify the unstable slopes on the bank of Longyangxia reservoir based on interferometric point target analysis(IPTA)method, and 15 unstable slopes were identified. The Chana landslide, which has historically collapsed many times, is still active and poses a potential threat to people's lives and property in the reservoir area and the safety of the dam project, so key monitoring is carried out on the Chana landslide. For the Chana landslide, DS-InSAR technology was used to obtain the LOS deformation of SAR images of the ascending and descending orbits; then, the two-dimensional time series decomposition was carried out by combining the deformation inversion results of the ascending and descending orbits; finally, the wavelet analysis was used to quantitatively discuss the relationship of deformation inversion results of surface time series decomposition with the change of rainfall and reservoir water level. The results show that the deformation field obtained by DS-InSAR technology is more complete than that obtained by IPTA method; the deformation at the eastern section is larger than the one in the central and western section, and the vertical displacement is larger than the east-west displacement; the time series of Chana landslide displacement is not highly correlated with rainfall series, and rainfall may not significantly contribute to landslide displacement; both landslide displacement and reservoir water level have strong annual cycle changes, and the time series of landslide displacement lags reservoir water level series by about half a year. |
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| Keywords: | slope identification IPTA method DS-InSAR technology deformation monitoring two-dimensional decomposition wavelet analysis Chana landslide Yellow River |
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