Research on geological hazard characteristics and susceptibility of the Duku Highway based on SBAS-InSAR and improved spatiotemporal clustering
Abstract The high-altitude Duku Highway is characterized by complex terrain changes and frequent geological hazards, which severely impact the lives of local residents and the sustainable development of the regional economy. The lack of understanding of terrain deformation, coupled with scarce found...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-11-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-80286-5 |
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| _version_ | 1846147880055734272 |
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| author | Yaxuan Niu Yan Xu Chenyu Guo Jie Liu Jiangpeng Zhang Qi Liu Zhiwei Yang Jun Zhang |
| author_facet | Yaxuan Niu Yan Xu Chenyu Guo Jie Liu Jiangpeng Zhang Qi Liu Zhiwei Yang Jun Zhang |
| author_sort | Yaxuan Niu |
| collection | DOAJ |
| description | Abstract The high-altitude Duku Highway is characterized by complex terrain changes and frequent geological hazards, which severely impact the lives of local residents and the sustainable development of the regional economy. The lack of understanding of terrain deformation, coupled with scarce foundational observation data, makes it challenging to apply mainstream susceptibility assessment methods such as slope modeling and causality analysis. Consequently, this study utilizes Sentinel-1 A data and employs the SBAS-InSAR technique to extract and analyze the deformation characteristics of 184 hazard areas along the Duku Highway over nearly three years. Furthermore, the Correlation Clustering Evaluation Model is proposed, attributing hazard properties to unsupervised spatial clustering results, thus enabling the study of hazard susceptibility in data-scarce regions without prior knowledge. The results indicate that the SBAS-InSAR coherence is 0.64, with a validation accuracy of 85%. The high, relatively-high, and moderate susceptibility areas account for 24.7%, 17.1%, and 32.6% of the total area, respectively. The rapid uplift of terrain due to plate compression is a major factor leading to frequent hazards in high and relatively-high susceptibility areas. These regions may spontaneously experience cyclic hazards (minimum of 2 months) without extreme external factors. The research findings offer new insights into regional hazards and provide a basis for the sustainable management of highways. |
| format | Article |
| id | doaj-art-4fbbcd112bb14cb99f09aef535cc9038 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-4fbbcd112bb14cb99f09aef535cc90382024-12-01T12:21:11ZengNature PortfolioScientific Reports2045-23222024-11-0114112410.1038/s41598-024-80286-5Research on geological hazard characteristics and susceptibility of the Duku Highway based on SBAS-InSAR and improved spatiotemporal clusteringYaxuan Niu0Yan Xu1Chenyu Guo2Jie Liu3Jiangpeng Zhang4Qi Liu5Zhiwei Yang6Jun Zhang7Xinjiang Transportation Planning Survey and Design Institute Co., LtdXinjiang Transportation Planning Survey and Design Institute Co., LtdUniversity of Chinese Academy of SciencesXinjiang Transportation Planning Survey and Design Institute Co., LtdXinjiang Transportation Planning Survey and Design Institute Co., LtdXinjiang Transportation Planning Survey and Design Institute Co., LtdXinjiang Transportation Planning Survey and Design Institute Co., LtdXinjiang Transportation Planning Survey and Design Institute Co., LtdAbstract The high-altitude Duku Highway is characterized by complex terrain changes and frequent geological hazards, which severely impact the lives of local residents and the sustainable development of the regional economy. The lack of understanding of terrain deformation, coupled with scarce foundational observation data, makes it challenging to apply mainstream susceptibility assessment methods such as slope modeling and causality analysis. Consequently, this study utilizes Sentinel-1 A data and employs the SBAS-InSAR technique to extract and analyze the deformation characteristics of 184 hazard areas along the Duku Highway over nearly three years. Furthermore, the Correlation Clustering Evaluation Model is proposed, attributing hazard properties to unsupervised spatial clustering results, thus enabling the study of hazard susceptibility in data-scarce regions without prior knowledge. The results indicate that the SBAS-InSAR coherence is 0.64, with a validation accuracy of 85%. The high, relatively-high, and moderate susceptibility areas account for 24.7%, 17.1%, and 32.6% of the total area, respectively. The rapid uplift of terrain due to plate compression is a major factor leading to frequent hazards in high and relatively-high susceptibility areas. These regions may spontaneously experience cyclic hazards (minimum of 2 months) without extreme external factors. The research findings offer new insights into regional hazards and provide a basis for the sustainable management of highways.https://doi.org/10.1038/s41598-024-80286-5Geological hazardsSBAS-InSARTerrain deformationCorrelation clustering evaluation modelTemporal spatial clusteringHazard susceptibility |
| spellingShingle | Yaxuan Niu Yan Xu Chenyu Guo Jie Liu Jiangpeng Zhang Qi Liu Zhiwei Yang Jun Zhang Research on geological hazard characteristics and susceptibility of the Duku Highway based on SBAS-InSAR and improved spatiotemporal clustering Scientific Reports Geological hazards SBAS-InSAR Terrain deformation Correlation clustering evaluation model Temporal spatial clustering Hazard susceptibility |
| title | Research on geological hazard characteristics and susceptibility of the Duku Highway based on SBAS-InSAR and improved spatiotemporal clustering |
| title_full | Research on geological hazard characteristics and susceptibility of the Duku Highway based on SBAS-InSAR and improved spatiotemporal clustering |
| title_fullStr | Research on geological hazard characteristics and susceptibility of the Duku Highway based on SBAS-InSAR and improved spatiotemporal clustering |
| title_full_unstemmed | Research on geological hazard characteristics and susceptibility of the Duku Highway based on SBAS-InSAR and improved spatiotemporal clustering |
| title_short | Research on geological hazard characteristics and susceptibility of the Duku Highway based on SBAS-InSAR and improved spatiotemporal clustering |
| title_sort | research on geological hazard characteristics and susceptibility of the duku highway based on sbas insar and improved spatiotemporal clustering |
| topic | Geological hazards SBAS-InSAR Terrain deformation Correlation clustering evaluation model Temporal spatial clustering Hazard susceptibility |
| url | https://doi.org/10.1038/s41598-024-80286-5 |
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