Glacial Lake Bathymetry and Inventory Dataset in the Poiqu and Adjacent Area of the Central Himalayas
QI Miaomiao1LIU Shiyin*1GAO Yongpeng1ZHU Yu1XIE Fuming1WU Kunpeng1YAO Xiaojun2
1 Institute of International Rivers and Eco-Security，Yunnan University，Kunming 650091，China2 College of Geography and Environmental Science，Northwest Normal University，Lanzhou 730070，China
DOI:10.3974/geodb.2022.07.05.V1
Published:July 2022
Visitors：6916 Data Files Downloaded：57
Data Downloaded：42.69 MB Citations：
Key Words：
lake bathymetry,glacial lake inventory,glacial lake volume,Poiqu,Central Himalayas
Abstract：
The Poiqu River and adjacent area lies in the Central Himalayas, with extensive glacier landforms and a complex and changing environment. It is one of the areas with the most glacial lakes and the most frequent glacial lake outburst floods (GLOF). In September 2020, the authors conducted an in-situ bathymetric survey for five moraine-dammed lakes in this region. Furthermore, glacial lake boundaries were extracted using 33 Landsat images from 1988, 2000, 2010 and 2020, as well as maps from 1974. Finally, the optimal glacial lake volume estimation equation was used to determine the lake volume. The dataset includes: (1) glacial lake bathymetry; (2) glacial lake inventory from 1974 to 2020, and the boundary data of 5 glacial lakes in september 2020; and (3) glacial lake volume. The dataset is archived in 102 data files in three group files in .tif , .shp, and .xls data formats with data size of 4.92 MB (Compressed into one single file with 766 KB). The research paper based on this dataset was published in the Journal of Hydrology, Vol. 601, 2022.Browse
Foundation Item：
Ministry of Science and Technology of P. R. China (2019QZKK0208, 2021YFE0116800); National Natural Science Foundation of China (42171129); Yunnan University (YJRC3201702, 2021Z018, 2020Z47)
Data Citation：
QI Miaomiao, LIU Shiyin*, GAO Yongpeng, ZHU Yu, XIE Fuming, WU Kunpeng, YAO Xiaojun. Glacial Lake Bathymetry and Inventory Dataset in the Poiqu and Adjacent Area of the Central Himalayas[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.07.05.V1.
QI Miaomiao, LIU Shiyin, GAO Yongpeng, et al. Glacial lake bathymetry and inventory dataset in the Poiqu basin, central Himalayas [J]. Journal of Global Change Data & Discovery, 2022, 6(4): 573–581.
References：
[1] Qi, M. M., Liu, S. Y., Wu, K. P., et al. Improving the accuracy of glacial lake volume estimation: a case study in the Poiqu basin, central Himalayas[J]. Journal of Hydrology. 2022, 610: 127973.
[2] Kienholz, C. Rich, J. L., Arendt, A., et al. A new method for deriving glacier centerlines applied to glaciers in Alaska and northwest Canada[J]. Cryosphere. 2014, 8: 503–519.
[3] Paul, F., Barry, R. G., Cogley, J. G., et al. Recommendations for the compilation of glacier inventory data from digital sources[J]. Annals of Glaciology. 2010, 50: 119–126.
[4] Li, D., Shangguan, D. H., Wang, X. Y., et al. Expansion and hazard risk assessment of glacial lake Jialong Co in the central Himalayas by using an unmanned surface vessel and remote sensing[J]. Science of Total Environment. 2021, 784: 147249.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 0 | Datapaper_GlacialLakes_Poiqu.pdf | 6491.00kb | DownLoad |
| 1 |
GlacialLakes_Poiqu.rar |
766.85KB |
|