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 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.

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Publication Details

Journal
Sustainability
Published
2025-02-11
DOI
https://doi.org/10.3390/su17041464
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China

Yonghua Zhao, Fujun Niu, Xuan Li, Lan Li et al.
Sustainability
Landslides and related hazards
article

Evaluation Index System for Thermokarst Lake Susceptibility: An Effective Tool for Disaster Warning on the Qinghai–Tibet Plateau, China

Yonghua Zhao, Fujun Niu, Xuan Li, Lan Li, Wankui Ni
article en

Abstract

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.

SustainabilityVol. 17(4)
Chang'an University (CN), Huanghuai University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 97%
Landslides and related hazards
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