Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology
Abstract Joshimath has received much attention for its massive ground subsidence at the beginning of the year. Rapid urbanization and its unique geographical location may have been one of the factors contributing to the occurrence of this geological disaster. In high mountain valley areas, the compl...
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Nature Portfolio
2023-08-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-39677-3 |
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author | Fan Yang Yan An Chuang Ren Jia Xu Jinbo Li Dongliang Li Zhiwei Peng |
author_facet | Fan Yang Yan An Chuang Ren Jia Xu Jinbo Li Dongliang Li Zhiwei Peng |
author_sort | Fan Yang |
collection | DOAJ |
description | Abstract Joshimath has received much attention for its massive ground subsidence at the beginning of the year. Rapid urbanization and its unique geographical location may have been one of the factors contributing to the occurrence of this geological disaster. In high mountain valley areas, the complex occurrence mechanism and diverse disaster patterns of geological hazards highlight the inadequacy of manual monitoring. To address this problem, the inversion of deformation of the Joshimath surface in multiple directions can be achieved by multidimensional InSAR techniques. Therefore, in this paper, the multidimensional SBAS-InSAR technique was used to process the lift-track Sentinel-1 data from 2020 to 2023 to obtain the two-dimensional vertical and horizontal deformation rates and time series characteristics of the Joshimath ground surface. To discover the causes of deformation and its correlation with anthropogenic activities and natural disasters by analyzing the spatial and temporal evolution of surface deformation. The results show that the area with the largest cumulative deformation is located in the northeastern part of the town, with a maximum cumulative subsidence of 271.2 mm and a cumulative horizontal movement of 336.5 mm. The spatial distribution of surface deformation is based on the lower part of the hill and develops towards the upper part of the hill, showing a trend of expansion from the bottom to the top. The temporal evolution is divided into two phases: gentle to rapid, and it is tentatively concluded that the decisive factor that caused the significant change in the rate of surface deformation and the early onset of the geological subsidence hazard was triggered by the 4.7 magnitude earthquake that struck near the town on 11 September 2021. |
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language | English |
last_indexed | 2024-03-10T17:47:38Z |
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spelling | doaj.art-2d5b3afd024c463593b5eee43bc80ffa2023-11-20T09:27:17ZengNature PortfolioScientific Reports2045-23222023-08-0113111410.1038/s41598-023-39677-3Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technologyFan Yang0Yan An1Chuang Ren2Jia Xu3Jinbo Li4Dongliang Li5Zhiwei Peng6Institute of Science and Technology, Liaoning Technical UniversitySchool of Geomatics, Liaoning Technical UniversitySchool of Geomatics, Liaoning Technical UniversitySchool of Geomatics, Liaoning Technical UniversityShanxi Changping Coal Industry Co., LTD.Jinneng Holding Equipment Manufacturing Group, Zhaozhuang Coal Industry Co., LTD.Jinneng Holding Equipment Manufacturing Group, Zhaozhuang Coal Industry Co., LTD.Abstract Joshimath has received much attention for its massive ground subsidence at the beginning of the year. Rapid urbanization and its unique geographical location may have been one of the factors contributing to the occurrence of this geological disaster. In high mountain valley areas, the complex occurrence mechanism and diverse disaster patterns of geological hazards highlight the inadequacy of manual monitoring. To address this problem, the inversion of deformation of the Joshimath surface in multiple directions can be achieved by multidimensional InSAR techniques. Therefore, in this paper, the multidimensional SBAS-InSAR technique was used to process the lift-track Sentinel-1 data from 2020 to 2023 to obtain the two-dimensional vertical and horizontal deformation rates and time series characteristics of the Joshimath ground surface. To discover the causes of deformation and its correlation with anthropogenic activities and natural disasters by analyzing the spatial and temporal evolution of surface deformation. The results show that the area with the largest cumulative deformation is located in the northeastern part of the town, with a maximum cumulative subsidence of 271.2 mm and a cumulative horizontal movement of 336.5 mm. The spatial distribution of surface deformation is based on the lower part of the hill and develops towards the upper part of the hill, showing a trend of expansion from the bottom to the top. The temporal evolution is divided into two phases: gentle to rapid, and it is tentatively concluded that the decisive factor that caused the significant change in the rate of surface deformation and the early onset of the geological subsidence hazard was triggered by the 4.7 magnitude earthquake that struck near the town on 11 September 2021.https://doi.org/10.1038/s41598-023-39677-3 |
spellingShingle | Fan Yang Yan An Chuang Ren Jia Xu Jinbo Li Dongliang Li Zhiwei Peng Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology Scientific Reports |
title | Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology |
title_full | Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology |
title_fullStr | Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology |
title_full_unstemmed | Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology |
title_short | Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology |
title_sort | monitoring and analysis of surface deformation in alpine valley areas based on multidimensional insar technology |
url | https://doi.org/10.1038/s41598-023-39677-3 |
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