中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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, Wenping1,3; Wang, Wei3; Gao, Xing3; Wang, Xuecheng2; Wang, Ruohan1,3
刊名REMOTE SENSING
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
DOI10.3390/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
出版者MDPI
WOS记录号WOS:000774278100001
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.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
2.Nanning Normal Univ, Sch Geog & Planning, Nanning 530023, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, 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

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。