Assessment of Freeze–Thaw Hazards and Water Features along the China–Russia Crude Oil Pipeline in Permafrost Regions

The China–Russia crude oil pipeline (CRCOP) traverses rivers, forests, and mountains over permafrost regions in northeastern China. Water accumulates beside the pipe embankment, which disturbs the hydrothermal balance of permafrost underlying the pipeline. Ground surface flows along the pipeline ero...

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Published in:Remote Sensing
Main Authors: Mingtang Chai, Guoyu Li, Wei Ma, Yapeng Cao, Gang Wu, Yanhu Mu, Dun Chen, Jun Zhang, Zhiwei Zhou, Yu Zhou, Qingsong Du
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
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Online Access:https://doi.org/10.3390/rs12213576
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spelling ftmdpi:oai:mdpi.com:/2072-4292/12/21/3576/ 2023-08-20T04:09:10+02:00 Assessment of Freeze–Thaw Hazards and Water Features along the China–Russia Crude Oil Pipeline in Permafrost Regions Mingtang Chai Guoyu Li Wei Ma Yapeng Cao Gang Wu Yanhu Mu Dun Chen Jun Zhang Zhiwei Zhou Yu Zhou Qingsong Du agris 2020-10-31 application/pdf https://doi.org/10.3390/rs12213576 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs12213576 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 21; Pages: 3576 hazard probability ponding water erosion logistic regression spatial autocorrelation Text 2020 ftmdpi https://doi.org/10.3390/rs12213576 2023-08-01T00:23:28Z The China–Russia crude oil pipeline (CRCOP) traverses rivers, forests, and mountains over permafrost regions in northeastern China. Water accumulates beside the pipe embankment, which disturbs the hydrothermal balance of permafrost underlying the pipeline. Ground surface flows along the pipeline erode the pipe embankment, which threatens the CRCOP’s operational safety. Additionally, frost heave and thaw settlement can induce differential deformation of the pipes. Therefore, it is necessary to acquire the spatial distribution of water features along the CRCOP, and analyze the various hazard probabilities and their controlling factors. In this paper, information regarding the permafrost type, buried depth of the pipe, soil type, landforms, and vegetation were collected along the CRCOP every 2 km. Ponding and erosive damage caused by surface flows were measured via field investigations and remote sensing images. Two hundred and sixty-four pond sites were extracted from Landsat 8 images, in which the areas of 46.8% of the ponds were larger than 500 m2. Several influential factors related to freeze–thaw hazards and erosive damage were selected and put into a logistic regression model to determine their corresponding risk probabilities. The results reflected the distributions, and forecasted the occurrences, of freeze–thaw hazards and erosive damage. The sections of pipe with the highest risks of freeze–thaw and erosive damage accounted for 2.4% and 6.7%, respectively, of the pipeline. Permafrost type and the position where runoff encounters the pipeline were the dominant influences on the freeze–thaw hazards, while the runoff–pipe position, buried depth of the pipe, and landform types played a dominant role in erosive damage along the CRCOP. Combined with the geographic information system (GIS), field surveys, image interpretation and model calculations are effective methods for assessing the various hazards along the CRCOP in permafrost regions. Text permafrost MDPI Open Access Publishing Remote Sensing 12 21 3576
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic hazard probability
ponding
water erosion
logistic regression
spatial autocorrelation
spellingShingle hazard probability
ponding
water erosion
logistic regression
spatial autocorrelation
Mingtang Chai
Guoyu Li
Wei Ma
Yapeng Cao
Gang Wu
Yanhu Mu
Dun Chen
Jun Zhang
Zhiwei Zhou
Yu Zhou
Qingsong Du
Assessment of Freeze–Thaw Hazards and Water Features along the China–Russia Crude Oil Pipeline in Permafrost Regions
topic_facet hazard probability
ponding
water erosion
logistic regression
spatial autocorrelation
description The China–Russia crude oil pipeline (CRCOP) traverses rivers, forests, and mountains over permafrost regions in northeastern China. Water accumulates beside the pipe embankment, which disturbs the hydrothermal balance of permafrost underlying the pipeline. Ground surface flows along the pipeline erode the pipe embankment, which threatens the CRCOP’s operational safety. Additionally, frost heave and thaw settlement can induce differential deformation of the pipes. Therefore, it is necessary to acquire the spatial distribution of water features along the CRCOP, and analyze the various hazard probabilities and their controlling factors. In this paper, information regarding the permafrost type, buried depth of the pipe, soil type, landforms, and vegetation were collected along the CRCOP every 2 km. Ponding and erosive damage caused by surface flows were measured via field investigations and remote sensing images. Two hundred and sixty-four pond sites were extracted from Landsat 8 images, in which the areas of 46.8% of the ponds were larger than 500 m2. Several influential factors related to freeze–thaw hazards and erosive damage were selected and put into a logistic regression model to determine their corresponding risk probabilities. The results reflected the distributions, and forecasted the occurrences, of freeze–thaw hazards and erosive damage. The sections of pipe with the highest risks of freeze–thaw and erosive damage accounted for 2.4% and 6.7%, respectively, of the pipeline. Permafrost type and the position where runoff encounters the pipeline were the dominant influences on the freeze–thaw hazards, while the runoff–pipe position, buried depth of the pipe, and landform types played a dominant role in erosive damage along the CRCOP. Combined with the geographic information system (GIS), field surveys, image interpretation and model calculations are effective methods for assessing the various hazards along the CRCOP in permafrost regions.
format Text
author Mingtang Chai
Guoyu Li
Wei Ma
Yapeng Cao
Gang Wu
Yanhu Mu
Dun Chen
Jun Zhang
Zhiwei Zhou
Yu Zhou
Qingsong Du
author_facet Mingtang Chai
Guoyu Li
Wei Ma
Yapeng Cao
Gang Wu
Yanhu Mu
Dun Chen
Jun Zhang
Zhiwei Zhou
Yu Zhou
Qingsong Du
author_sort Mingtang Chai
title Assessment of Freeze–Thaw Hazards and Water Features along the China–Russia Crude Oil Pipeline in Permafrost Regions
title_short Assessment of Freeze–Thaw Hazards and Water Features along the China–Russia Crude Oil Pipeline in Permafrost Regions
title_full Assessment of Freeze–Thaw Hazards and Water Features along the China–Russia Crude Oil Pipeline in Permafrost Regions
title_fullStr Assessment of Freeze–Thaw Hazards and Water Features along the China–Russia Crude Oil Pipeline in Permafrost Regions
title_full_unstemmed Assessment of Freeze–Thaw Hazards and Water Features along the China–Russia Crude Oil Pipeline in Permafrost Regions
title_sort assessment of freeze–thaw hazards and water features along the china–russia crude oil pipeline in permafrost regions
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/rs12213576
op_coverage agris
genre permafrost
genre_facet permafrost
op_source Remote Sensing; Volume 12; Issue 21; Pages: 3576
op_relation https://dx.doi.org/10.3390/rs12213576
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs12213576
container_title Remote Sensing
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