Elucidating the complex interplay between natural and anthropogenic factors in the deformation of the Muyubao landslide through time-series InSAR analysis
In the Three Gorges Reservoir area, landslide disasters occur frequently, making scientific monitoring and risk prediction crucial for disaster prevention and mitigation. However, most previous studies have been constrained by analysis of singular influencing factors. In this study, we employed mult...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2024.1337209/full |
| _version_ | 1797305232424697856 |
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| author | Rui Yang Wenli Liang Chunyong Yu Pinglang Kou Pinglang Kou |
| author_facet | Rui Yang Wenli Liang Chunyong Yu Pinglang Kou Pinglang Kou |
| author_sort | Rui Yang |
| collection | DOAJ |
| description | In the Three Gorges Reservoir area, landslide disasters occur frequently, making scientific monitoring and risk prediction crucial for disaster prevention and mitigation. However, most previous studies have been constrained by analysis of singular influencing factors. In this study, we employed multi-temporal InSAR techniques coupled with multivariate geospatial statistical analysis to monitor and analyze the dynamic evolution of the Muyuba landslide in Zigui County, Hubei Province, China from 2016 to 2023. The findings indicate that the Muyuba landslide was predominantly characterized by continuous, gradual subsidence. Key factors inducing deformation included well-developed drainage networks, gentle slopes of 15–30°, and the orientation of rock strata. Deformation rates in residential areas and along roadways exceeded background levels, implicating anthropogenic activities in the heightened landslide risk. A significant correlation was observed between landslide deformation and reservoir water level fluctuations, as opposed to rainfall patterns, highlighting reservoir regulation disturbances as a critical landslide triggering factor. |
| first_indexed | 2024-03-08T00:22:01Z |
| format | Article |
| id | doaj.art-7637e21b08774cfca92a796fab5e791a |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-03-08T00:22:01Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-7637e21b08774cfca92a796fab5e791a2024-02-16T04:38:57ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632024-02-011210.3389/feart.2024.13372091337209Elucidating the complex interplay between natural and anthropogenic factors in the deformation of the Muyubao landslide through time-series InSAR analysisRui Yang0Wenli Liang1Chunyong Yu2Pinglang Kou3Pinglang Kou4Civil Aviation of Flight University of China, Guanghan, Sichuan, ChinaChongqing Key Laboratory of GIS Application, School of Geography and Tourism, Chongqing Normal University, Chongqing, ChinaMud Logging Company, CNPC Bohai Drilling Engineering Co. Ltd., Tianjin, ChinaChongqing Engineering Research Center of Spatial Big Data Intelligent Technology, Chongqing University of Posts and Telecommunications, Chongqing, ChinaKey Laboratory of Tourism Multisource Data Perception and Decision, Ministry of Culture and Tourism (TMDPD, MCT), Chongqing University of Posts and Telecommunications, Chongqing, ChinaIn the Three Gorges Reservoir area, landslide disasters occur frequently, making scientific monitoring and risk prediction crucial for disaster prevention and mitigation. However, most previous studies have been constrained by analysis of singular influencing factors. In this study, we employed multi-temporal InSAR techniques coupled with multivariate geospatial statistical analysis to monitor and analyze the dynamic evolution of the Muyuba landslide in Zigui County, Hubei Province, China from 2016 to 2023. The findings indicate that the Muyuba landslide was predominantly characterized by continuous, gradual subsidence. Key factors inducing deformation included well-developed drainage networks, gentle slopes of 15–30°, and the orientation of rock strata. Deformation rates in residential areas and along roadways exceeded background levels, implicating anthropogenic activities in the heightened landslide risk. A significant correlation was observed between landslide deformation and reservoir water level fluctuations, as opposed to rainfall patterns, highlighting reservoir regulation disturbances as a critical landslide triggering factor.https://www.frontiersin.org/articles/10.3389/feart.2024.1337209/fulltime-series InSARMuyuba landslidedeformation monitoringmultisource statistical analysisZigui county |
| spellingShingle | Rui Yang Wenli Liang Chunyong Yu Pinglang Kou Pinglang Kou Elucidating the complex interplay between natural and anthropogenic factors in the deformation of the Muyubao landslide through time-series InSAR analysis Frontiers in Earth Science time-series InSAR Muyuba landslide deformation monitoring multisource statistical analysis Zigui county |
| title | Elucidating the complex interplay between natural and anthropogenic factors in the deformation of the Muyubao landslide through time-series InSAR analysis |
| title_full | Elucidating the complex interplay between natural and anthropogenic factors in the deformation of the Muyubao landslide through time-series InSAR analysis |
| title_fullStr | Elucidating the complex interplay between natural and anthropogenic factors in the deformation of the Muyubao landslide through time-series InSAR analysis |
| title_full_unstemmed | Elucidating the complex interplay between natural and anthropogenic factors in the deformation of the Muyubao landslide through time-series InSAR analysis |
| title_short | Elucidating the complex interplay between natural and anthropogenic factors in the deformation of the Muyubao landslide through time-series InSAR analysis |
| title_sort | elucidating the complex interplay between natural and anthropogenic factors in the deformation of the muyubao landslide through time series insar analysis |
| topic | time-series InSAR Muyuba landslide deformation monitoring multisource statistical analysis Zigui county |
| url | https://www.frontiersin.org/articles/10.3389/feart.2024.1337209/full |
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