Risk Zoning of Permafrost Thaw Settlement in the Qinghai–Tibet Engineering Corridor

The Qinghai–Tibet Plateau is the highest and largest permafrost area in the middle and low latitudes of China. In this region, permafrost thaw settlement is the main form of expressway subgrade disaster. Therefore, the quantitative analysis and regionalization study of permafrost thaw settlement def...

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Published in:Remote Sensing
Main Authors: Zhiyun Liu, Yu Zhu, Jianbing Chen, Fuqing Cui, Wu Zhu, Jine Liu, Hui Yu
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
Q
Ice
Online Access:https://doi.org/10.3390/rs15153913
https://doaj.org/article/d6f466b025c64efeb618300ab9722e66
id ftdoajarticles:oai:doaj.org/article:d6f466b025c64efeb618300ab9722e66
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spelling ftdoajarticles:oai:doaj.org/article:d6f466b025c64efeb618300ab9722e66 2023-09-05T13:20:06+02:00 Risk Zoning of Permafrost Thaw Settlement in the Qinghai–Tibet Engineering Corridor Zhiyun Liu Yu Zhu Jianbing Chen Fuqing Cui Wu Zhu Jine Liu Hui Yu 2023-08-01T00:00:00Z https://doi.org/10.3390/rs15153913 https://doaj.org/article/d6f466b025c64efeb618300ab9722e66 EN eng MDPI AG https://www.mdpi.com/2072-4292/15/15/3913 https://doaj.org/toc/2072-4292 doi:10.3390/rs15153913 2072-4292 https://doaj.org/article/d6f466b025c64efeb618300ab9722e66 Remote Sensing, Vol 15, Iss 3913, p 3913 (2023) Qinghai–Tibet engineering corridor permafrost subgrade thaw settlement risk characteristics RBF neural network Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15153913 2023-08-13T00:34:32Z The Qinghai–Tibet Plateau is the highest and largest permafrost area in the middle and low latitudes of China. In this region, permafrost thaw settlement is the main form of expressway subgrade disaster. Therefore, the quantitative analysis and regionalization study of permafrost thaw settlement deformation are of great significance for expressway construction and maintenance in the Qinghai–Tibet region. This paper establishes a thaw settlement prediction model using the thaw settlement coefficient and thaw depth. The thaw depth was predicted by the mean annual ground temperatures and active-layer thicknesses using the Radial Basis Function (RBF) neural network model, and the thaw settlement coefficient was determined according to the type of ice content. Further, the distribution characteristics of thaw settlement risk of the permafrost subgrade in the study region were mapped and analyzed. The results showed that the thaw settlement risk was able to be divided into four risk levels, namely significant risk, high risk, medium risk and low risk levels, with the areas of these four risk levels covering 3868.67 km 2 , 1594.21 km 2 , 2456.10 km 2 and 558.78 km 2 , respectively, of the total study region. The significant risk level had the highest proportion among all the risk levels and was mainly distributed across the Chumar River Basin, Beiluhe River Basin and Gaerqu River Basin regions. Moreover, ice content was found to be the main factor affecting thaw settlement, with thaw settlement found to increase as the ice content increased. Article in Journal/Newspaper Ice permafrost Directory of Open Access Journals: DOAJ Articles Remote Sensing 15 15 3913
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Qinghai–Tibet engineering corridor
permafrost subgrade
thaw settlement
risk characteristics
RBF neural network
Science
Q
spellingShingle Qinghai–Tibet engineering corridor
permafrost subgrade
thaw settlement
risk characteristics
RBF neural network
Science
Q
Zhiyun Liu
Yu Zhu
Jianbing Chen
Fuqing Cui
Wu Zhu
Jine Liu
Hui Yu
Risk Zoning of Permafrost Thaw Settlement in the Qinghai–Tibet Engineering Corridor
topic_facet Qinghai–Tibet engineering corridor
permafrost subgrade
thaw settlement
risk characteristics
RBF neural network
Science
Q
description The Qinghai–Tibet Plateau is the highest and largest permafrost area in the middle and low latitudes of China. In this region, permafrost thaw settlement is the main form of expressway subgrade disaster. Therefore, the quantitative analysis and regionalization study of permafrost thaw settlement deformation are of great significance for expressway construction and maintenance in the Qinghai–Tibet region. This paper establishes a thaw settlement prediction model using the thaw settlement coefficient and thaw depth. The thaw depth was predicted by the mean annual ground temperatures and active-layer thicknesses using the Radial Basis Function (RBF) neural network model, and the thaw settlement coefficient was determined according to the type of ice content. Further, the distribution characteristics of thaw settlement risk of the permafrost subgrade in the study region were mapped and analyzed. The results showed that the thaw settlement risk was able to be divided into four risk levels, namely significant risk, high risk, medium risk and low risk levels, with the areas of these four risk levels covering 3868.67 km 2 , 1594.21 km 2 , 2456.10 km 2 and 558.78 km 2 , respectively, of the total study region. The significant risk level had the highest proportion among all the risk levels and was mainly distributed across the Chumar River Basin, Beiluhe River Basin and Gaerqu River Basin regions. Moreover, ice content was found to be the main factor affecting thaw settlement, with thaw settlement found to increase as the ice content increased.
format Article in Journal/Newspaper
author Zhiyun Liu
Yu Zhu
Jianbing Chen
Fuqing Cui
Wu Zhu
Jine Liu
Hui Yu
author_facet Zhiyun Liu
Yu Zhu
Jianbing Chen
Fuqing Cui
Wu Zhu
Jine Liu
Hui Yu
author_sort Zhiyun Liu
title Risk Zoning of Permafrost Thaw Settlement in the Qinghai–Tibet Engineering Corridor
title_short Risk Zoning of Permafrost Thaw Settlement in the Qinghai–Tibet Engineering Corridor
title_full Risk Zoning of Permafrost Thaw Settlement in the Qinghai–Tibet Engineering Corridor
title_fullStr Risk Zoning of Permafrost Thaw Settlement in the Qinghai–Tibet Engineering Corridor
title_full_unstemmed Risk Zoning of Permafrost Thaw Settlement in the Qinghai–Tibet Engineering Corridor
title_sort risk zoning of permafrost thaw settlement in the qinghai–tibet engineering corridor
publisher MDPI AG
publishDate 2023
url https://doi.org/10.3390/rs15153913
https://doaj.org/article/d6f466b025c64efeb618300ab9722e66
genre Ice
permafrost
genre_facet Ice
permafrost
op_source Remote Sensing, Vol 15, Iss 3913, p 3913 (2023)
op_relation https://www.mdpi.com/2072-4292/15/15/3913
https://doaj.org/toc/2072-4292
doi:10.3390/rs15153913
2072-4292
https://doaj.org/article/d6f466b025c64efeb618300ab9722e66
op_doi https://doi.org/10.3390/rs15153913
container_title Remote Sensing
container_volume 15
container_issue 15
container_start_page 3913
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