Early Identification of Geological Hazards Along the Power Transmission Line in Weinan Based on SBAS-InSAR
Landslides and ground subsidence pose significant threats to the successful construction and operation of transmission line projects in the Loess Plateau region. This study aims to explore an accurate early identification method for geological hazards, providing support for the construction and smoo...
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2025-01-01
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author | Bo Shan Jianguo Qi Wucheng Tian Kuanxing Zhu Tie Jin Qingkun Yang Xiguan An Guang Yang Qi Hu Chen Cao |
author_facet | Bo Shan Jianguo Qi Wucheng Tian Kuanxing Zhu Tie Jin Qingkun Yang Xiguan An Guang Yang Qi Hu Chen Cao |
author_sort | Bo Shan |
collection | DOAJ |
description | Landslides and ground subsidence pose significant threats to the successful construction and operation of transmission line projects in the Loess Plateau region. This study aims to explore an accurate early identification method for geological hazards, providing support for the construction and smooth operation of the transmission project along the route from Baishui County, Weinan City, Shaanxi Province to Lantian County, Xi’an City, Shaanxi Province. Small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technology was used to acquire the surface deformation data of the study area from 4 February 2018 to 21 May 2023. The deformation data were spatially analyzed through kernel density analysis, which quickly and intuitively identified 52 potential geological hazard points in the region, including eight landslides and 44 ground subsidence. Detailed field investigations of the hazards confirmed the accuracy of the identification results. A thorough analysis of typical hazards, such as landslide No. 9 and ground subsidence No. 29, revealed severe deformation, posing a threat to the proposed transmission project. This study indicates that combining InSAR, kernel density analysis, and field investigations can accurately and quickly identify geological hazards around transmission lines, providing support for the site selection and implementation of transmission projects. |
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id | doaj-art-a3a25b20d7b74941992b51afb9a476c5 |
institution | Kabale University |
issn | 2076-3417 |
language | English |
publishDate | 2025-01-01 |
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spelling | doaj-art-a3a25b20d7b74941992b51afb9a476c52025-01-24T13:21:20ZengMDPI AGApplied Sciences2076-34172025-01-0115292010.3390/app15020920Early Identification of Geological Hazards Along the Power Transmission Line in Weinan Based on SBAS-InSARBo Shan0Jianguo Qi1Wucheng Tian2Kuanxing Zhu3Tie Jin4Qingkun Yang5Xiguan An6Guang Yang7Qi Hu8Chen Cao9Northeast Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group, Changchun 130000, ChinaNortheast Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group, Changchun 130000, ChinaNortheast Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group, Changchun 130000, ChinaCollege of Construction Engineering, Jilin University, Changchun 130026, ChinaCollege of Construction Engineering, Jilin University, Changchun 130026, ChinaCollege of Construction Engineering, Jilin University, Changchun 130026, ChinaCollege of Construction Engineering, Jilin University, Changchun 130026, ChinaNortheast Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group, Changchun 130000, ChinaNortheast Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group, Changchun 130000, ChinaCollege of Construction Engineering, Jilin University, Changchun 130026, ChinaLandslides and ground subsidence pose significant threats to the successful construction and operation of transmission line projects in the Loess Plateau region. This study aims to explore an accurate early identification method for geological hazards, providing support for the construction and smooth operation of the transmission project along the route from Baishui County, Weinan City, Shaanxi Province to Lantian County, Xi’an City, Shaanxi Province. Small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technology was used to acquire the surface deformation data of the study area from 4 February 2018 to 21 May 2023. The deformation data were spatially analyzed through kernel density analysis, which quickly and intuitively identified 52 potential geological hazard points in the region, including eight landslides and 44 ground subsidence. Detailed field investigations of the hazards confirmed the accuracy of the identification results. A thorough analysis of typical hazards, such as landslide No. 9 and ground subsidence No. 29, revealed severe deformation, posing a threat to the proposed transmission project. This study indicates that combining InSAR, kernel density analysis, and field investigations can accurately and quickly identify geological hazards around transmission lines, providing support for the site selection and implementation of transmission projects.https://www.mdpi.com/2076-3417/15/2/920power transmission engineeringSBAS-InSARearly identification of geological hazardskernel density analysisfield investigation |
spellingShingle | Bo Shan Jianguo Qi Wucheng Tian Kuanxing Zhu Tie Jin Qingkun Yang Xiguan An Guang Yang Qi Hu Chen Cao Early Identification of Geological Hazards Along the Power Transmission Line in Weinan Based on SBAS-InSAR Applied Sciences power transmission engineering SBAS-InSAR early identification of geological hazards kernel density analysis field investigation |
title | Early Identification of Geological Hazards Along the Power Transmission Line in Weinan Based on SBAS-InSAR |
title_full | Early Identification of Geological Hazards Along the Power Transmission Line in Weinan Based on SBAS-InSAR |
title_fullStr | Early Identification of Geological Hazards Along the Power Transmission Line in Weinan Based on SBAS-InSAR |
title_full_unstemmed | Early Identification of Geological Hazards Along the Power Transmission Line in Weinan Based on SBAS-InSAR |
title_short | Early Identification of Geological Hazards Along the Power Transmission Line in Weinan Based on SBAS-InSAR |
title_sort | early identification of geological hazards along the power transmission line in weinan based on sbas insar |
topic | power transmission engineering SBAS-InSAR early identification of geological hazards kernel density analysis field investigation |
url | https://www.mdpi.com/2076-3417/15/2/920 |
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