Modelling Permafrost Characteristics and Its Relationship with Environmental Constraints in the Gaize Area, Qinghai-Tibet Plateau, China

The impact of environmental constraints on permafrost distribution and characteristics of the remote western Qinghai-Tibetan Plateau (QTP) were seldom reported. Using augmented Noah land surface model, this study aims to elaborate the permafrost characteristics and their relationship with key enviro...

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Published in:Remote Sensing
Main Authors: Yudan Wang, Hao Chen, Zhuotong Nan, Zhihai Shang
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/rs14215610
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spelling ftmdpi:oai:mdpi.com:/2072-4292/14/21/5610/ 2023-08-20T04:09:08+02:00 Modelling Permafrost Characteristics and Its Relationship with Environmental Constraints in the Gaize Area, Qinghai-Tibet Plateau, China Yudan Wang Hao Chen Zhuotong Nan Zhihai Shang agris 2022-11-07 application/pdf https://doi.org/10.3390/rs14215610 EN eng Multidisciplinary Digital Publishing Institute Ecological Remote Sensing https://dx.doi.org/10.3390/rs14215610 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 21; Pages: 5610 Noah land surface model permafrost characteristics environmental constraint vegetation Text 2022 ftmdpi https://doi.org/10.3390/rs14215610 2023-08-01T07:13:30Z The impact of environmental constraints on permafrost distribution and characteristics of the remote western Qinghai-Tibetan Plateau (QTP) were seldom reported. Using augmented Noah land surface model, this study aims to elaborate the permafrost characteristics and their relationship with key environmental constraints in the Gaize, a transitional area with mosaic distribution of permafrost and seasonally frozen ground in the western QTP. There were two soil parameter schemes, two thermal roughness schemes, and three vegetation parameter schemes with optimal minimum stomatal resistance established using MODIS NDVI, turbulent flux, and field survey data. Forcing data were extracted from the China Meteorological Forcing Dataset (CMFD) and downscaled to 5 km × 5 km resolution. Results show that the error of simulated mean annual ground temperatures (MAGT) were less than 1.0 °C for nine boreholes. The Kappa coefficiency between three types of permafrost and three types of vegetation is 0.654, which indicates the close relationship between the presence of certain vegetation types and the occurrence of certain permafrost types in the Gaize. Permafrost distribution and characteristics of the Gaize are jointly influenced by both altitude and vegetation. The relationship of permafrost with environmental constraints over the Gaize is significantly different from that of the West Kunlun, a western, predominantly permafrost-distributed area. Text permafrost MDPI Open Access Publishing Remote Sensing 14 21 5610
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Noah land surface model
permafrost characteristics
environmental constraint
vegetation
spellingShingle Noah land surface model
permafrost characteristics
environmental constraint
vegetation
Yudan Wang
Hao Chen
Zhuotong Nan
Zhihai Shang
Modelling Permafrost Characteristics and Its Relationship with Environmental Constraints in the Gaize Area, Qinghai-Tibet Plateau, China
topic_facet Noah land surface model
permafrost characteristics
environmental constraint
vegetation
description The impact of environmental constraints on permafrost distribution and characteristics of the remote western Qinghai-Tibetan Plateau (QTP) were seldom reported. Using augmented Noah land surface model, this study aims to elaborate the permafrost characteristics and their relationship with key environmental constraints in the Gaize, a transitional area with mosaic distribution of permafrost and seasonally frozen ground in the western QTP. There were two soil parameter schemes, two thermal roughness schemes, and three vegetation parameter schemes with optimal minimum stomatal resistance established using MODIS NDVI, turbulent flux, and field survey data. Forcing data were extracted from the China Meteorological Forcing Dataset (CMFD) and downscaled to 5 km × 5 km resolution. Results show that the error of simulated mean annual ground temperatures (MAGT) were less than 1.0 °C for nine boreholes. The Kappa coefficiency between three types of permafrost and three types of vegetation is 0.654, which indicates the close relationship between the presence of certain vegetation types and the occurrence of certain permafrost types in the Gaize. Permafrost distribution and characteristics of the Gaize are jointly influenced by both altitude and vegetation. The relationship of permafrost with environmental constraints over the Gaize is significantly different from that of the West Kunlun, a western, predominantly permafrost-distributed area.
format Text
author Yudan Wang
Hao Chen
Zhuotong Nan
Zhihai Shang
author_facet Yudan Wang
Hao Chen
Zhuotong Nan
Zhihai Shang
author_sort Yudan Wang
title Modelling Permafrost Characteristics and Its Relationship with Environmental Constraints in the Gaize Area, Qinghai-Tibet Plateau, China
title_short Modelling Permafrost Characteristics and Its Relationship with Environmental Constraints in the Gaize Area, Qinghai-Tibet Plateau, China
title_full Modelling Permafrost Characteristics and Its Relationship with Environmental Constraints in the Gaize Area, Qinghai-Tibet Plateau, China
title_fullStr Modelling Permafrost Characteristics and Its Relationship with Environmental Constraints in the Gaize Area, Qinghai-Tibet Plateau, China
title_full_unstemmed Modelling Permafrost Characteristics and Its Relationship with Environmental Constraints in the Gaize Area, Qinghai-Tibet Plateau, China
title_sort modelling permafrost characteristics and its relationship with environmental constraints in the gaize area, qinghai-tibet plateau, china
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/rs14215610
op_coverage agris
genre permafrost
genre_facet permafrost
op_source Remote Sensing; Volume 14; Issue 21; Pages: 5610
op_relation Ecological Remote Sensing
https://dx.doi.org/10.3390/rs14215610
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs14215610
container_title Remote Sensing
container_volume 14
container_issue 21
container_start_page 5610
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