测绘通报 ›› 2026, Vol. 0 ›› Issue (3): 142-149.doi: 10.13474/j.cnki.11-2246.2026.0324

• 技术交流 • 上一篇    下一篇

卫星雷达观测揭示乌东德库区滑坡空间分布与运动特征

王利东1,2,3   

  1. 1. 山西省煤炭地质一一五勘查院有限公司, 山西 大同 037000;
    2. 山西省矿区综合监测与应急减灾技术创新中心, 山西 大同 037000;
    3. 山西遥云数智科技有限公司, 山西 大同 037000
  • 收稿日期:2025-07-21 发布日期:2026-04-08
  • 作者简介:王利东(1982—),男,硕士,高级工程师,主要研究方向为地理信息技术应用等。E-mail:396769792@qq.com
  • 基金资助:
    山西省科技成果转化引导专项(202404021301069);山西省地质勘查局省级地质勘查建设与发展专项(2024-20);大同市重点研发计划(2024024)

Satellite radar observation reveals the spatial distribution and motion characteristics of landslides in Wudongde Reservoir area

WANG Lidong1,2,3   

  1. 1. Shanxi Provincial Coal Geology 115 Exploration Institute Co., Ltd., Datong 037000 China;
    2. Shanxi Provincial Technical Innovation Center for Comprehensive Monitoring and Emergency Disaster Mitigation in Mining Areas, Datong 037000 China;
    3. Shanxi Yaoyun Smart Technology Co., Ltd., Datong 037000, China
  • Received:2025-07-21 Published:2026-04-08

摘要: 水电站蓄水会直接影响库区滑坡的运动状态。识别和监测库区滑坡,揭示滑坡形变与蓄水、降雨等影响因素之间的关系,对于减小滑坡灾害对库区居民和水电站的威胁至关重要。为了研究2020年乌东德水电站蓄水对库区滑坡的影响,本文基于SBAS-InSAR技术,利用升、降轨Sentinel-1数据集对乌东德库区的活动性滑坡进行探测。共识别到库区25个滑坡,其中有10个涉水滑坡和15个非涉水滑坡。大部分滑坡分布在海拔2000~5000 m、坡度角为1°~40°的区域。此外,从两种不同类型滑坡中各选择一个典型滑坡进行形变时间序列分析:利用K-means聚类分析蓄水对涉水滑坡的影响;利用小波变换分析降雨对非涉水滑坡的影响。结果表明,蓄水是驱动涉水滑坡加速变形的主导因素,而降雨影响了非涉水滑坡的季节性形变。本文的研究结果可为乌东德库区滑坡灾害预警和防治提供参考。

关键词: 乌东德水电站, InSAR, 水库滑坡, 诱发因素, K-means聚类, 小波变换

Abstract: Water storage in hydropower stations will directly affect the movement status of landslides in the reservoir area.Identifying and monitoring landslides in the reservoir area and revealing the relationship between landslide deformation and influencing factors such as water storage and rainfall is crucial to reducing the threat of landslide disasters to reservoir area residents and hydropower stations.In order to study the impact of water storage in Wudongde hydropower station on landslides in the reservoir area in 2020,this paper uses the Sentinel-1 dataset to detect active landslides in Wudongde Reservoir area based on SBAS-InSAR technology.A total of 25 landslides in the reservoir area are identified,including 10 water wading landslides and 15 non-wading landslides.Most landslides are distributed in areas with an altitude of 2000~5000 m and a slope angle of 1°~40°.In addition,a typical landslide is selected from each of two different types of landslides for deformation time series analysis: the effect of water storage on water wading landslides is analyzed by K-means clustering; and the effect of rainfall on non-water wading landslides is analyzed by wavelet transformation.The results show that water storage is the dominant factor driving accelerated deformation of water wading landslides,and rainfall affects seasonal deformation of non-water wading landslides.The research results of this article can provide reference for landslide disaster warning and prevention in Wudongde Reservoir area.

Key words: Wudongde hydropower station, InSAR, reservoir landslide, inducing factors, K-means cluster, wavelet transformation

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