Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China
In the context of global warming, landscapes with ice-rich permafrost, such as the Qinghai–Tibet Plateau (QTP), are highly vulnerable. The expansion of thermokarst lakes erodes the surrounding land, leading to collapses of various scales and posing a threat to nearby infrastructure and the environme...
Published in: | Sustainability |
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Main Authors: | , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2025
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Subjects: | |
Online Access: | https://doi.org/10.3390/su17041464 |
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author | Lan Li Yilu Zhao Xuan Li Wankui Ni Fujun Niu |
author_facet | Lan Li Yilu Zhao Xuan Li Wankui Ni Fujun Niu |
author_sort | Lan Li |
collection | MDPI Open Access Publishing |
container_issue | 4 |
container_start_page | 1464 |
container_title | Sustainability |
container_volume | 17 |
description | In the context of global warming, landscapes with ice-rich permafrost, such as the Qinghai–Tibet Plateau (QTP), are highly vulnerable. The expansion of thermokarst lakes erodes the surrounding land, leading to collapses of various scales and posing a threat to nearby infrastructure and the environment. Assessing the susceptibility of thermokarst lakes in remote, data-scarce areas remains a challenging task. In this study, Landsat imagery and human–computer interaction were employed to improve the accuracy of thermokarst lake classification. The study also identified the key factors influencing the occurrence of thermokarst lakes, including the lake density, soil moisture (SM), slope, vegetation, snow cover, ground temperature, precipitation, and permafrost stability (PS). The results indicate that the most susceptible areas cover 19.02% of the QTP’s permafrost region, primarily located in southwestern Qinghai, northeastern Tibet, and the Hoh Xil region. This study provides a framework for mapping the spatial distribution of thermokarst lakes and contributes to understanding the impact of climate change on the QTP. |
format | Text |
genre | Ice permafrost Thermokarst |
genre_facet | Ice permafrost Thermokarst |
id | ftmdpi:oai:mdpi.com:/2071-1050/17/4/1464/ |
institution | Open Polar |
language | English |
op_collection_id | ftmdpi |
op_coverage | agris |
op_doi | https://doi.org/10.3390/su17041464 |
op_relation | Sustainability in Geographic Science https://dx.doi.org/10.3390/su17041464 |
op_rights | https://creativecommons.org/licenses/by/4.0/ |
op_source | Sustainability Volume 17 Issue 4 Pages: 1464 |
publishDate | 2025 |
publisher | Multidisciplinary Digital Publishing Institute |
record_format | openpolar |
spelling | ftmdpi:oai:mdpi.com:/2071-1050/17/4/1464/ 2025-03-16T15:28:17+00:00 Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China Lan Li Yilu Zhao Xuan Li Wankui Ni Fujun Niu agris 2025-02-11 application/pdf https://doi.org/10.3390/su17041464 eng eng Multidisciplinary Digital Publishing Institute Sustainability in Geographic Science https://dx.doi.org/10.3390/su17041464 https://creativecommons.org/licenses/by/4.0/ Sustainability Volume 17 Issue 4 Pages: 1464 thermokarst lakes susceptibility assessment permafrost region Qinghai–Tibet Plateau Text 2025 ftmdpi https://doi.org/10.3390/su17041464 2025-02-17T01:26:25Z In the context of global warming, landscapes with ice-rich permafrost, such as the Qinghai–Tibet Plateau (QTP), are highly vulnerable. The expansion of thermokarst lakes erodes the surrounding land, leading to collapses of various scales and posing a threat to nearby infrastructure and the environment. Assessing the susceptibility of thermokarst lakes in remote, data-scarce areas remains a challenging task. In this study, Landsat imagery and human–computer interaction were employed to improve the accuracy of thermokarst lake classification. The study also identified the key factors influencing the occurrence of thermokarst lakes, including the lake density, soil moisture (SM), slope, vegetation, snow cover, ground temperature, precipitation, and permafrost stability (PS). The results indicate that the most susceptible areas cover 19.02% of the QTP’s permafrost region, primarily located in southwestern Qinghai, northeastern Tibet, and the Hoh Xil region. This study provides a framework for mapping the spatial distribution of thermokarst lakes and contributes to understanding the impact of climate change on the QTP. Text Ice permafrost Thermokarst MDPI Open Access Publishing Sustainability 17 4 1464 |
spellingShingle | thermokarst lakes susceptibility assessment permafrost region Qinghai–Tibet Plateau Lan Li Yilu Zhao Xuan Li Wankui Ni Fujun Niu Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China |
title | Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China |
title_full | Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China |
title_fullStr | Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China |
title_full_unstemmed | Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China |
title_short | Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China |
title_sort | evaluation index system for thermokarst lake susceptibility: an effective tool for disaster warning on the qinghai–tibet plateau, china |
topic | thermokarst lakes susceptibility assessment permafrost region Qinghai–Tibet Plateau |
topic_facet | thermokarst lakes susceptibility assessment permafrost region Qinghai–Tibet Plateau |
url | https://doi.org/10.3390/su17041464 |