Improve the Accuracy of Water Storage Estimation—A Case Study from Two Lakes in the Hohxil Region of North Tibetan Plateau

• Published in: Remote sensing (Basel, Switzerland) Vol. 13; no. 2; p. 293
• Main Authors: Qiao, Baojin, Ju, Jianting, Zhu, Liping, Chen, Hao, Kai, Jinlei, Kou, Qiangqiang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-01-2021
• Subjects: Accuracy; Altimetry; Bathymeters; bathymetric data; Bathymetry; Climate change; glacial meltwater; Glacier mass balance; Glaciers; Hydrology; Interpolation; lake water storage; Lakes; Landsat; Landsat satellites; Mass balance; Meltwater; Permafrost; Precipitation; Remote sensing; Reservoirs; Satellite imagery; Shorelines; SRTM; Topography; Underwater; Water storage; Tibetan Plateau
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs13020293

Lake water storage is essential information for lake research. Previous studies usually used bathymetric data to acquire underwater topography by interpolation method, and to therefore estimate water storage. However, due to the large area of Tibetan Plateau (TP) lakes, the method of bathymetry was challenging to cover the whole region of one lake, and the accuracy of the underwater topography, in which no bathymetric data covered, was low, which resulted in a comparatively large error of lake water storage estimation and its change. In this study, we used Shuttle Radar Topography Mission (SRTM) and in situ bathymetric data to establish the underwater topography of Hohxil Lake (HL) and Lexiewudan Lake (LL) in the Hohxil Region of North TP and estimate and analyzed the changes of lake level and water storage. The results showed HL and LL’s water storage was 5.12 km3 and 5.31 km3 in 2019, respectively, and their level increased by 0.5 m/y and 0.57 m/y during 2003−2018, respectively. They were consistent with those (0.5 m/y and 0.5 m/y) from altimetry data, and they were much more accurate than those results (0.077 m/y and 0.156 m/y) from bathymetric data. These findings indicated that this method could improve the accuracy of lake water storage and change estimation. We estimated water storage of two lakes by combining with multitemporal Landsat images, which had doubled since 1976. Our results suggested that the increasing precipitation may dominate the lake expansion by comparing with the change of temperature and precipitation and the increasing glacial meltwater contributed approximately 4.8% and 10.7% to lake expansion of HL and LL during 2000–2019 based on the glacier mass balance data, respectively.