Spatial Analyses and Susceptibility Modeling of Thermokarst Lakes in Permafrost Landscapes along the Qinghai–Tibet Engineering Corridor
| Autor: | Zhanju Lin, Minghao Liu, Fu-jun Zhou, Xiang-lian Meng, Guoan Yin, Fujun Niu, Jing Luo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
geography
geography.geographical_feature_category Plateau 010504 meteorology & atmospheric sciences Science Climate change geomorphology 010502 geochemistry & geophysics Spatial distribution Permafrost 01 natural sciences susceptibility map Thermokarst remote sensing machine learning Remote sensing (archaeology) General Earth and Planetary Sciences Environmental science Satellite Ecosystem Physical geography environment 0105 earth and related environmental sciences |
| Zdroj: | Remote Sensing Volume 13 Issue 10 Pages: 1974 Remote Sensing, Vol 13, Iss 1974, p 1974 (2021) |
| ISSN: | 2072-4292 |
| DOI: | 10.3390/rs13101974 |
| Popis: | Thermokarst lakes (TLs) caused by the thaw of massive ground ice in ice-rich permafrost landscapes are increasing and have strong impacts on the hydro–ecological environment and human infrastructure on the Qinghai–Tibet Plateau (QTP), however, its spatial distribution characteristics and environmental controls have not been underrepresented at the local scale. Here, we analyzed the spatial distribution of small TLs along the Qinghai–Tibet Engineering Corridor (QTEC) based on high-resolution (up to 2.0 m) satellite images. The TLs gathered in the plains and upland plateau and covered 8.3% of the QTEC land. We deployed a random-frost method to investigate the suitable environmental conditions for TLs. Climate including summer rainfall and the air temperature was the most important factor controlling the TL distribution, followed by topography and soil characteristics that affected the ground ice content. TL susceptibility was mapped based on the combinations of climate, soil, and topography grid data. On average, around 20% of the QTEC area was in a high to very-high-susceptibility zone that is likely to develop TLs in response to climate change. This study improved the understanding of controlling factors for TL development but also provided insights into the conditions of massive ground ice and was helpful to assess the impacts of climate change on ecosystem processes and engineering design. |
| Databáze: | OpenAIRE |
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