1.国网辽宁省电力有限公司,辽宁 沈阳,110004
2.国网思极位置服务有限公司,北京,102209
3.长安大学地质工程与测绘学院,陕西 西安,710054
王磊,工程师,研究方向为数据智能化处理。lnsgwanglei@163.com
杜建涛,博士。jiantao.du@chd.edu.cn
收稿:2024-12-25,
纸质出版:2025-11-05
移动端阅览
王磊,吕广涵,杜建涛,等.黄河上游玛沁段活动滑坡InSAR探测与时空特征分析[J].武汉大学学报(信息科学版),2025,50(11):2226-2235.
WANG Lei,LÜ Guanghan,DU Jiantao,et al.InSAR Detection and Spatiotemporal Characteristics of Active Landslides in the Maqin Section of the Upper Yellow River[J].Geomatics and Information Science of Wuhan University,2025,50(11):2226-2235.
王磊,吕广涵,杜建涛,等.黄河上游玛沁段活动滑坡InSAR探测与时空特征分析[J].武汉大学学报(信息科学版),2025,50(11):2226-2235. DOI:10.13203/j.whugis20240490
WANG Lei,LÜ Guanghan,DU Jiantao,et al.InSAR Detection and Spatiotemporal Characteristics of Active Landslides in the Maqin Section of the Upper Yellow River[J].Geomatics and Information Science of Wuhan University,2025,50(11):2226-2235. DOI:10.13203/j.whugis20240490
滑坡作为黄河上游普遍存在的地质环境灾害现象,严重制约黄河流域生态保护和高质量发展。基于升、降轨时序合成孔径雷达干涉(interferometric synthetic aperture radar
InSAR)测量获取的地表形变速率和时间序列,开展黄河上游玛沁段的活动滑坡空间分布与军功巨型滑坡的时空演化特征分析。研究结果表明,黄河上游玛沁段发育活动滑坡124处,主要集中在黄河干流的两岸边坡,其聚集发育与黄河的长期下切和侵蚀作用密切相关。军功滑坡的三维形变揭示出该滑坡在空间上具有显著的不均匀形变特征,且水平向形变速率大于垂直向。独立成分分析进一步揭示了军功滑坡在不同区域表现出时空演化特征的差异性,表明了军功滑坡形变机理的复杂性。基于独立成分的层次聚类将军功滑坡分为3个活动区域,分别反映了滑坡不同的演化规律和风险等级。该研究不仅为黄河上游滑坡灾害的管理和防治提供了科学依据,同时也为类似地质灾害的监测和分析提供了新的思路和方法。
Objectives
2
For a long time
landslides
as geological hazards
have been significant factors influencing the ecological environment
landform evolution
and even the pattern of human settlement in the upper Yellow River basin. Studying the spatial distribution patterns and temporal evolution mechanisms of active landslides can help provide a scientific basis for the management and prevention of landslide hazards in the upper Yellow River. Simultaneously
it promotes the engineering application of radar remote sensing technology in landslide research
offering new ideas and methods for monitoring and analyzing similar geological hazards.
Methods
2
First
based on 358 ascending and descending Sentinel-1 images spanning from January 2017 to July 2023
the small baseline subset interferometric synthetic aperture radar (InSAR) technique was employed to obtain the surface deformation rates and time series in the study area. Subsequently
active landslides were interpreted and mapped by integrating InSAR velocities
optical imagery
and topographic data. Finally
a three-dimensional deformation model constrained by topographic factors was utilized to obtain the true deformation field of the Jungong landslide. Additionally
independent component analysis and hierarchical clustering methods were introduced to investigate the spatiotemporal evolution characteristics of the Jungong landslide.
Results
2
There are 124 active landslides developed in the Maqin section of the upper Yellow River
primarily concentrated on the slopes on both sides of the main stream
with more landslides occurring on the right bank than on the left. As a typical case
the Jungong landslide has undergone considerable surface deformation over the past few years
with horizontal movement being the dominant type of sliding. The surface deformation of the Jungong landslide exhibits spatially uneven distribution and significant variability in temporal evolution
which are related to the formation process and geological background of the landslide. Based on the distribution results of independent components
the landslides are clustered into three active zones
revealing different deformation patterns and risk levels.
Conclusions
2
The concentrated occurrence of active landslides in the Maqin section of the upper Yellow River is related to the local landform changes caused by the long-term undercutting and erosion of the Yellow River. Specific areas of the Jungong landslide exhibit accelerated deformation
posing a risk of localized collapse
and thus require long term monitoring.
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