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Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology
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 occurr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412562/ https://www.ncbi.nlm.nih.gov/pubmed/37558719 http://dx.doi.org/10.1038/s41598-023-39677-3 |
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author | Yang, Fan An, Yan Ren, Chuang Xu, Jia Li, Jinbo Li, Dongliang Peng, Zhiwei |
author_facet | Yang, Fan An, Yan Ren, Chuang Xu, Jia Li, Jinbo Li, Dongliang Peng, Zhiwei |
author_sort | Yang, Fan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10412562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104125622023-08-11 Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology Yang, Fan An, Yan Ren, Chuang Xu, Jia Li, Jinbo Li, Dongliang Peng, Zhiwei Sci Rep Article 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. Nature Publishing Group UK 2023-08-09 /pmc/articles/PMC10412562/ /pubmed/37558719 http://dx.doi.org/10.1038/s41598-023-39677-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yang, Fan An, Yan Ren, Chuang Xu, Jia Li, Jinbo Li, Dongliang Peng, Zhiwei Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology |
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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412562/ https://www.ncbi.nlm.nih.gov/pubmed/37558719 http://dx.doi.org/10.1038/s41598-023-39677-3 |
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