Spatial Variability of Active Layer Thickness along the Qinghai–Tibet Engineering Corridor Resolved Using Ground-Penetrating Radar
Active layer thickness (ALT) is a sensitive indicator of response to climate change. ALT has important influence on various aspects of the regional environment such as hydrological processes and vegetation. In this study, 57 ground-penetrating radar (GPR) sections were surveyed along the Qinghai–Tib...
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ftmdpi:oai:mdpi.com:/2072-4292/14/21/5606/ 2023-08-20T03:59:06+02:00 Spatial Variability of Active Layer Thickness along the Qinghai–Tibet Engineering Corridor Resolved Using Ground-Penetrating Radar Shichao Jia Tingjun Zhang Jiansheng Hao Chaoyue Li Roger Michaelides Wanwan Shao Sihao Wei Kun Wang Chengyan Fan agris 2022-11-07 application/pdf https://doi.org/10.3390/rs14215606 EN eng Multidisciplinary Digital Publishing Institute Engineering Remote Sensing https://dx.doi.org/10.3390/rs14215606 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 21; Pages: 5606 active layer thickness ground-penetrating radar Tibetan Plateau permafrost engineering Text 2022 ftmdpi https://doi.org/10.3390/rs14215606 2023-08-01T07:13:21Z Active layer thickness (ALT) is a sensitive indicator of response to climate change. ALT has important influence on various aspects of the regional environment such as hydrological processes and vegetation. In this study, 57 ground-penetrating radar (GPR) sections were surveyed along the Qinghai–Tibet Engineering Corridor (QTEC) during 2018–2021, covering a total length of 58.5 km. The suitability of GPR-derived ALT was evaluated using in situ measurements and reference datasets, for which the bias and root mean square error were approximately −0.16 and 0.43 m, respectively. The GPR results show that the QTEC ALT was in the range of 1.25–6.70 m (mean: 2.49 ± 0.57 m). Observed ALT demonstrated pronounced spatial variability at both regional and fine scales. We developed a statistical estimation model that explicitly considers the soil thermal regime (i.e., ground thawing index, TIg), soil properties, and vegetation. This model was found suitable for simulating ALT over the QTEC, and it could explain 52% (R2 = 0.52) of ALT variability. The statistical model shows that a difference of 10 °C.d in TIg is equivalent to a change of 0.67 m in ALT, and an increase of 0.1 in the normalized difference vegetation index (NDVI) is equivalent to a decrease of 0.23 m in ALT. The fine-scale (<1 km) variation in ALT could account for 77.6% of the regional-scale (approximately 550 km) variation. These results provide a timely ALT benchmark along the QTEC, which can inform the construction and maintenance of engineering facilities along the QTEC. Text Active layer thickness permafrost MDPI Open Access Publishing Remote Sensing 14 21 5606 |
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English |
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active layer thickness ground-penetrating radar Tibetan Plateau permafrost engineering |
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active layer thickness ground-penetrating radar Tibetan Plateau permafrost engineering Shichao Jia Tingjun Zhang Jiansheng Hao Chaoyue Li Roger Michaelides Wanwan Shao Sihao Wei Kun Wang Chengyan Fan Spatial Variability of Active Layer Thickness along the Qinghai–Tibet Engineering Corridor Resolved Using Ground-Penetrating Radar |
topic_facet |
active layer thickness ground-penetrating radar Tibetan Plateau permafrost engineering |
description |
Active layer thickness (ALT) is a sensitive indicator of response to climate change. ALT has important influence on various aspects of the regional environment such as hydrological processes and vegetation. In this study, 57 ground-penetrating radar (GPR) sections were surveyed along the Qinghai–Tibet Engineering Corridor (QTEC) during 2018–2021, covering a total length of 58.5 km. The suitability of GPR-derived ALT was evaluated using in situ measurements and reference datasets, for which the bias and root mean square error were approximately −0.16 and 0.43 m, respectively. The GPR results show that the QTEC ALT was in the range of 1.25–6.70 m (mean: 2.49 ± 0.57 m). Observed ALT demonstrated pronounced spatial variability at both regional and fine scales. We developed a statistical estimation model that explicitly considers the soil thermal regime (i.e., ground thawing index, TIg), soil properties, and vegetation. This model was found suitable for simulating ALT over the QTEC, and it could explain 52% (R2 = 0.52) of ALT variability. The statistical model shows that a difference of 10 °C.d in TIg is equivalent to a change of 0.67 m in ALT, and an increase of 0.1 in the normalized difference vegetation index (NDVI) is equivalent to a decrease of 0.23 m in ALT. The fine-scale (<1 km) variation in ALT could account for 77.6% of the regional-scale (approximately 550 km) variation. These results provide a timely ALT benchmark along the QTEC, which can inform the construction and maintenance of engineering facilities along the QTEC. |
format |
Text |
author |
Shichao Jia Tingjun Zhang Jiansheng Hao Chaoyue Li Roger Michaelides Wanwan Shao Sihao Wei Kun Wang Chengyan Fan |
author_facet |
Shichao Jia Tingjun Zhang Jiansheng Hao Chaoyue Li Roger Michaelides Wanwan Shao Sihao Wei Kun Wang Chengyan Fan |
author_sort |
Shichao Jia |
title |
Spatial Variability of Active Layer Thickness along the Qinghai–Tibet Engineering Corridor Resolved Using Ground-Penetrating Radar |
title_short |
Spatial Variability of Active Layer Thickness along the Qinghai–Tibet Engineering Corridor Resolved Using Ground-Penetrating Radar |
title_full |
Spatial Variability of Active Layer Thickness along the Qinghai–Tibet Engineering Corridor Resolved Using Ground-Penetrating Radar |
title_fullStr |
Spatial Variability of Active Layer Thickness along the Qinghai–Tibet Engineering Corridor Resolved Using Ground-Penetrating Radar |
title_full_unstemmed |
Spatial Variability of Active Layer Thickness along the Qinghai–Tibet Engineering Corridor Resolved Using Ground-Penetrating Radar |
title_sort |
spatial variability of active layer thickness along the qinghai–tibet engineering corridor resolved using ground-penetrating radar |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14215606 |
op_coverage |
agris |
genre |
Active layer thickness permafrost |
genre_facet |
Active layer thickness permafrost |
op_source |
Remote Sensing; Volume 14; Issue 21; Pages: 5606 |
op_relation |
Engineering Remote Sensing https://dx.doi.org/10.3390/rs14215606 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs14215606 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
21 |
container_start_page |
5606 |
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1774714848091832320 |