Inventory and Spatiotemporal Patterns of Glacial Lakes in the HKH-TMHA Region from 1990 to 2020
文献类型:期刊论文
作者 | Li, Wenping1,2; Wang, Wei1; Gao, Xing1; Wang, Xuecheng3; Wang, Ruohan1,2 |
刊名 | REMOTE SENSING
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出版日期 | 2022-03-01 |
卷号 | 14期号:6页码:28 |
关键词 | high-mountain Asia glacial lake expansion Himalayan Karakoram Hindu Kush Landsat climate change |
DOI | 10.3390/rs14061351 |
通讯作者 | Wang, Wei(wang_wei@lreis.ac.cn) |
英文摘要 | The Himalayan, Karakoram, and Hindu Kush (HKH-TMHA) are the three main mountain ranges in the high-mountain Asia region, covering the China-Pakistan Economic Corridor (CPEC). In this study, we identified glacial lakes in the HKH-TMHA region based on multitemporal Landsat images taken from 1990 to 2020. We analyzed the spatial distribution and evolution of glacial lakes in the HKH-TMHA region from the perspective of their elevation, size, and terrain aspect; then, we described their temporal changes. The results showed that approximately 84.56% of the glacial lakes (84.1% of the total lake area) were located at elevations between 4000 m and 5500 m, and glacial lakes with areas ranging from 0.01-0.5 km(2) accounted for approximately 95.21% of the number and 63.01% of the total area of glacial lakes. The number (38.64%) and area (58.83%) of south-facing glacial lakes were largest in HKH-TMHA and expanded significantly over time. There were 5835 (664.84 +/- 89.72 km(2)) glacial lakes in 1990; from 1990 to 2020, the number of glacial lakes in the HKH-TMHA region increased by 5974 (408.93 km(2)) in total; and the annual average increase in the area of glacial lakes reached 13.63 km(2) (11.15%). In 2020, the total number of glacial lake reached to 9673 (899.66 +/- 120.63 km(2)). In addition, most glacial lakes were located in the Eastern Himalayan, China, and the Indus Basin. Based on the precipitation and temperature analyses performed in our study area, we found inconsistent climate characteristics and changes in the three mountain ranges. In general, the daily precipitation (temperature) increased by 1.0766 mm (1.0311 degrees C), 0.8544 mm (0.8346 degrees C), and 0.8245 mm (-0.1042 degrees C) on the yearly, summer, and winter scales, respectively. Glacial melting and climate change are common contributors to glacial lake expansion. The investigation of glacial lakes in this region can provide basic supporting data for research on glacial lake-related disasters, land cover, and climate change in the high-mountain Asia region. |
WOS关键词 | HIGH-MOUNTAIN ASIA ; WATER INDEX NDWI ; CLIMATE-CHANGE ; MASS-BALANCE ; RIVER-BASIN ; SNOW-COVER ; CLASSIFICATION ; EXPANSION ; HAZARD ; PRECIPITATION |
资助项目 | Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences[XDA23090503] ; Research on Ice-Snow Damage Assessment of Forest Vegetation in Northern Guangxi based on GIS and RS[2022KY0382] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000774278100001 |
出版者 | MDPI |
资助机构 | Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences ; Research on Ice-Snow Damage Assessment of Forest Vegetation in Northern Guangxi based on GIS and RS |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/173567] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Wang, Wei |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Nanning Normal Univ, Sch Geog & Planning, Nanning 530023, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Wenping,Wang, Wei,Gao, Xing,et al. Inventory and Spatiotemporal Patterns of Glacial Lakes in the HKH-TMHA Region from 1990 to 2020[J]. REMOTE SENSING,2022,14(6):28. |
APA | Li, Wenping,Wang, Wei,Gao, Xing,Wang, Xuecheng,&Wang, Ruohan.(2022).Inventory and Spatiotemporal Patterns of Glacial Lakes in the HKH-TMHA Region from 1990 to 2020.REMOTE SENSING,14(6),28. |
MLA | Li, Wenping,et al."Inventory and Spatiotemporal Patterns of Glacial Lakes in the HKH-TMHA Region from 1990 to 2020".REMOTE SENSING 14.6(2022):28. |
入库方式: OAI收割
来源:地理科学与资源研究所
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