The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China
The ancient Suoertou landslide seriously threatens the surrounding population's lives and property. Monitoring and predicting this landslide is crucial to ensure the affected areas’ safety. The previous research on the landslide's displacement characteristics and mec...
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IEEE
2024-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10412641/ |
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| author | Yumin Fang Lifeng Zhang Yi He Wang Yang Tianbao Huo Qing Zhang Jiangang Lu |
| author_facet | Yumin Fang Lifeng Zhang Yi He Wang Yang Tianbao Huo Qing Zhang Jiangang Lu |
| author_sort | Yumin Fang |
| collection | DOAJ |
| description | The ancient Suoertou landslide seriously threatens the surrounding population's lives and property. Monitoring and predicting this landslide is crucial to ensure the affected areas’ safety. The previous research on the landslide's displacement characteristics and mechanisms has lacked detailed analyses. In addition, its future development trends must be understood. Therefore, we conducted a detailed analysis of the ancient Suoertou landslide's displacement characteristics and mechanisms using small baseline subset interferometric synthetic aperture radar monitoring results from 2018 to 2023. Furthermore, by applying a gated recurrent unit prediction mode that incorporates the refined displacement characteristics and mechanisms, we forecasted the landslide's displacement trends. The results show that this landslide is currently undergoing overall slow displacement with violent fluctuations in localized areas. Tectonic movement, precipitation, human activities, river erosion, and other factors interact, forming a vicious development displacement mechanism. According to our prediction, the displacement of this landslide will be in a trend of fluctuating increase from June 2023 to June 2024. In particular, the local area will undergo abnormal displacement acceleration. The results of the current research provide a scientific basis upon which to monitor landslides, promote their management, and reduce the risk of losses due to landslide disasters. |
| format | Article |
| id | doaj-art-8ea4c24e7c05485f907cc5ccd3f08217 |
| institution | DOAJ |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-8ea4c24e7c05485f907cc5ccd3f082172025-08-20T03:01:27ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352024-01-01174139416310.1109/JSTARS.2024.335752010412641The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, ChinaYumin Fang0https://orcid.org/0009-0004-9259-843XLifeng Zhang1https://orcid.org/0000-0001-6560-9042Yi He2https://orcid.org/0000-0003-4017-0488Wang Yang3https://orcid.org/0000-0003-4885-4550Tianbao Huo4https://orcid.org/0000-0001-7250-4927Qing Zhang5Jiangang Lu6Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaThe ancient Suoertou landslide seriously threatens the surrounding population's lives and property. Monitoring and predicting this landslide is crucial to ensure the affected areas’ safety. The previous research on the landslide's displacement characteristics and mechanisms has lacked detailed analyses. In addition, its future development trends must be understood. Therefore, we conducted a detailed analysis of the ancient Suoertou landslide's displacement characteristics and mechanisms using small baseline subset interferometric synthetic aperture radar monitoring results from 2018 to 2023. Furthermore, by applying a gated recurrent unit prediction mode that incorporates the refined displacement characteristics and mechanisms, we forecasted the landslide's displacement trends. The results show that this landslide is currently undergoing overall slow displacement with violent fluctuations in localized areas. Tectonic movement, precipitation, human activities, river erosion, and other factors interact, forming a vicious development displacement mechanism. According to our prediction, the displacement of this landslide will be in a trend of fluctuating increase from June 2023 to June 2024. In particular, the local area will undergo abnormal displacement acceleration. The results of the current research provide a scientific basis upon which to monitor landslides, promote their management, and reduce the risk of losses due to landslide disasters.https://ieeexplore.ieee.org/document/10412641/Displacement mechanismgated recurrent unit (GRU)Suoertou landslidetwo-dimensional decompositionwavelet analysis |
| spellingShingle | Yumin Fang Lifeng Zhang Yi He Wang Yang Tianbao Huo Qing Zhang Jiangang Lu The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Displacement mechanism gated recurrent unit (GRU) Suoertou landslide two-dimensional decomposition wavelet analysis |
| title | The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China |
| title_full | The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China |
| title_fullStr | The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China |
| title_full_unstemmed | The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China |
| title_short | The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China |
| title_sort | displacement analysis and prediction of a creeping ancient landslide at suoertou zhouqu county china |
| topic | Displacement mechanism gated recurrent unit (GRU) Suoertou landslide two-dimensional decomposition wavelet analysis |
| url | https://ieeexplore.ieee.org/document/10412641/ |
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