Freeze/Thaw-Induced Deformation Monitoring and Assessment of the Slope in Permafrost Based on Terrestrial Laser Scanner and GNSS

Most previous studies of the Qinghai-Tibet engineering corridor (QTEC) have focused on the impacts of climate change on thaw-induced slope failures, whereas few have considered freeze-induced slope failures. Terrestrial laser scanning was used in combination with global navigation satellite systems...

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Published in:Remote Sensing
Main Authors: Lihui Luo, Wei Ma, Zhongqiong Zhang, Yanli Zhuang, Yaonan Zhang, Jinqiang Yang, Xuecheng Cao, Songtao Liang, Yanhu Mu
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2017
Subjects:
Q
Online Access:https://doi.org/10.3390/rs9030198
https://doaj.org/article/94ca24fb88b1438d933b7db53fece669
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spelling ftdoajarticles:oai:doaj.org/article:94ca24fb88b1438d933b7db53fece669 2023-05-15T17:56:29+02:00 Freeze/Thaw-Induced Deformation Monitoring and Assessment of the Slope in Permafrost Based on Terrestrial Laser Scanner and GNSS Lihui Luo Wei Ma Zhongqiong Zhang Yanli Zhuang Yaonan Zhang Jinqiang Yang Xuecheng Cao Songtao Liang Yanhu Mu 2017-02-01T00:00:00Z https://doi.org/10.3390/rs9030198 https://doaj.org/article/94ca24fb88b1438d933b7db53fece669 EN eng MDPI AG http://www.mdpi.com/2072-4292/9/3/198 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs9030198 https://doaj.org/article/94ca24fb88b1438d933b7db53fece669 Remote Sensing, Vol 9, Iss 3, p 198 (2017) freeze–thaw cycle global navigation satellite system Qinghai-Tibet engineering corridor slope in permafrost terrestrial laser scanning Science Q article 2017 ftdoajarticles https://doi.org/10.3390/rs9030198 2022-12-31T16:11:29Z Most previous studies of the Qinghai-Tibet engineering corridor (QTEC) have focused on the impacts of climate change on thaw-induced slope failures, whereas few have considered freeze-induced slope failures. Terrestrial laser scanning was used in combination with global navigation satellite systems to monitor three-dimensional surface changes between 2014 and 2015 on the slope of permafrost in the QTEC, which experienced two thawing periods and a freezing period. Soil temperature and moisture sensors were also deployed at 11 depths to reveal the hydrological–thermal dynamics of the active layer. We analyzed scanned surface changes in the slope based on comparisons of multi-temporal point cloud data to determine how the hydrological–thermal process affected active layer deformation during freeze–thaw cycles, thereby comprehensively quantifying the surface deformation. During the two thawing periods, the major structure of the slope exhibited subsidence trends, whereas the major structure of the slope had an uplift trend in the freezing period. The seasonal subsidence trend was caused by thaw settlement and the seasonal uplift trend was probably due to frost heaving. This occurred mainly because the active layer and the upper permafrost underwent a phase transition due to heat transfer. The ground movements occurred approximately in the soil temperature conduction direction between the top of the soil and the permafrost table. The elevation deformation range was mainly −0.20 m to 0.20 m. Surface volume increases with heaving after freezing could have compensated for the loss of thawing twice and still led to the upward swelling of the slope. Thus, this type of slope in permafrost is dominated by frost heave. Deformation characteristics of the slope will support enhanced decision making regarding the implementation of remote sensing and hydrological–thermal measurement technologies to monitor changes in the slopes in permafrost adjacent to engineering corridors, thereby improving the understanding and assessment of ... Article in Journal/Newspaper permafrost Directory of Open Access Journals: DOAJ Articles Remote Sensing 9 3 198
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic freeze–thaw cycle
global navigation satellite system
Qinghai-Tibet engineering corridor
slope in permafrost
terrestrial laser scanning
Science
Q
spellingShingle freeze–thaw cycle
global navigation satellite system
Qinghai-Tibet engineering corridor
slope in permafrost
terrestrial laser scanning
Science
Q
Lihui Luo
Wei Ma
Zhongqiong Zhang
Yanli Zhuang
Yaonan Zhang
Jinqiang Yang
Xuecheng Cao
Songtao Liang
Yanhu Mu
Freeze/Thaw-Induced Deformation Monitoring and Assessment of the Slope in Permafrost Based on Terrestrial Laser Scanner and GNSS
topic_facet freeze–thaw cycle
global navigation satellite system
Qinghai-Tibet engineering corridor
slope in permafrost
terrestrial laser scanning
Science
Q
description Most previous studies of the Qinghai-Tibet engineering corridor (QTEC) have focused on the impacts of climate change on thaw-induced slope failures, whereas few have considered freeze-induced slope failures. Terrestrial laser scanning was used in combination with global navigation satellite systems to monitor three-dimensional surface changes between 2014 and 2015 on the slope of permafrost in the QTEC, which experienced two thawing periods and a freezing period. Soil temperature and moisture sensors were also deployed at 11 depths to reveal the hydrological–thermal dynamics of the active layer. We analyzed scanned surface changes in the slope based on comparisons of multi-temporal point cloud data to determine how the hydrological–thermal process affected active layer deformation during freeze–thaw cycles, thereby comprehensively quantifying the surface deformation. During the two thawing periods, the major structure of the slope exhibited subsidence trends, whereas the major structure of the slope had an uplift trend in the freezing period. The seasonal subsidence trend was caused by thaw settlement and the seasonal uplift trend was probably due to frost heaving. This occurred mainly because the active layer and the upper permafrost underwent a phase transition due to heat transfer. The ground movements occurred approximately in the soil temperature conduction direction between the top of the soil and the permafrost table. The elevation deformation range was mainly −0.20 m to 0.20 m. Surface volume increases with heaving after freezing could have compensated for the loss of thawing twice and still led to the upward swelling of the slope. Thus, this type of slope in permafrost is dominated by frost heave. Deformation characteristics of the slope will support enhanced decision making regarding the implementation of remote sensing and hydrological–thermal measurement technologies to monitor changes in the slopes in permafrost adjacent to engineering corridors, thereby improving the understanding and assessment of ...
format Article in Journal/Newspaper
author Lihui Luo
Wei Ma
Zhongqiong Zhang
Yanli Zhuang
Yaonan Zhang
Jinqiang Yang
Xuecheng Cao
Songtao Liang
Yanhu Mu
author_facet Lihui Luo
Wei Ma
Zhongqiong Zhang
Yanli Zhuang
Yaonan Zhang
Jinqiang Yang
Xuecheng Cao
Songtao Liang
Yanhu Mu
author_sort Lihui Luo
title Freeze/Thaw-Induced Deformation Monitoring and Assessment of the Slope in Permafrost Based on Terrestrial Laser Scanner and GNSS
title_short Freeze/Thaw-Induced Deformation Monitoring and Assessment of the Slope in Permafrost Based on Terrestrial Laser Scanner and GNSS
title_full Freeze/Thaw-Induced Deformation Monitoring and Assessment of the Slope in Permafrost Based on Terrestrial Laser Scanner and GNSS
title_fullStr Freeze/Thaw-Induced Deformation Monitoring and Assessment of the Slope in Permafrost Based on Terrestrial Laser Scanner and GNSS
title_full_unstemmed Freeze/Thaw-Induced Deformation Monitoring and Assessment of the Slope in Permafrost Based on Terrestrial Laser Scanner and GNSS
title_sort freeze/thaw-induced deformation monitoring and assessment of the slope in permafrost based on terrestrial laser scanner and gnss
publisher MDPI AG
publishDate 2017
url https://doi.org/10.3390/rs9030198
https://doaj.org/article/94ca24fb88b1438d933b7db53fece669
genre permafrost
genre_facet permafrost
op_source Remote Sensing, Vol 9, Iss 3, p 198 (2017)
op_relation http://www.mdpi.com/2072-4292/9/3/198
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs9030198
https://doaj.org/article/94ca24fb88b1438d933b7db53fece669
op_doi https://doi.org/10.3390/rs9030198
container_title Remote Sensing
container_volume 9
container_issue 3
container_start_page 198
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