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

2021 ◽  
Vol 13 (2) ◽  
pp. 293
Author(s):  
Baojin Qiao ◽  
Jianting Ju ◽  
Liping Zhu ◽  
Hao Chen ◽  
Jinlei Kai ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Lake Water ◽  
Interpolation Method ◽  
Water Storage ◽  
Glacier Mass Balance ◽  
Large Area ◽  
Landsat Images ◽  
Essential Information ◽  
Underwater Topography ◽  
Bathymetric Data

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.

scholarly journals Assessment of land use change in Kon - Ha Thanh rivers catchment using landsat images

2019 ◽  
Vol 17 (6) ◽  
pp. 6
Author(s):  
Dương Võ Ngọc
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Soil Types ◽  
Large Area ◽  
Landsat Images ◽  
Essential Information ◽  
Use Of Resources ◽  
Rapid Industrialization ◽  
Land Use Maps ◽  
Good Agreement

Analysis of land use maps will provide important information upon which most management and intervention policies rely.Land use changes may have major impacts on the use of resources such as conditions for land and water use. However, land use map is often scarce for large area due to expensive statistics measurement work. In this study, the land use of Kon – Ha Thanh rivers catchment is mapped from 1990 to 2017 using remote sensing and geographic information system (GIS). It is found that the land use map generated in this study is in good agreement with the actual map provided by Binh Dinh Province Department of Planning and Investment (2017). Land use maps and the trend of conversion between soil types are analyzed and presented in detail during 1990-2017. The study outcomes can provide essential information for planning and sustainable development activities in the context of rapid industrialization and urbanization epoch.

scholarly journals Densified multi-mission observations by developed optical water levels show marked increases in lake water storage and overflow floods on the Tibetan Plateau

2019 ◽  
Author(s):  
Xingdong Li ◽  
Di Long ◽  
Qi Huang ◽  
Pengfei Han ◽  
Fanyu Zhao ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Water Level ◽  
Lake Water ◽  
Water Storage ◽  
Water Levels ◽  
The Tibetan Plateau ◽  
Altimetry Data ◽  
Data Set ◽  
Lake Water Level ◽  
And Storage

Abstract. The Tibetan Plateau (TP) known as Asia's water towers is quite sensitive to climate change, reflected by changes in hydrological state variables such as lake water storage. Given the extremely limited ground observations on the TP due to the harsh environment and complex terrain, we exploited multisource remote sensing, i.e., multiple altimetric missions and Landsat archives to create dense time series (monthly and even higher such as 10 days on average) of lake water level and storage changes across 52 large lakes (> 100 km2) on the TP during 2000–2017 (the data set is available online with a DOI: https://doi.org/10.1594/PANGAEA.898411). Field experiments were carried out in two typical lakes to validate the remotely sensed results. With Landsat archives and partial altimetry data, we developed optical water levels that cover most of TP lakes and serve as an ideal reference for merging multisource lake water levels. The optical water levels show an uncertainty of ~ 0.1 m that is comparable with most altimetry data and largely reduce the lack of dense altimetric observations with systematic errors well removed for most of lakes. The densified lake water levels provided critical and accurate information on the long-term and short-term monitoring of lake water level and storage changes on the TP. We found that the total storage of the 52 lakes increased by 97.3 km3 at two stages, i.e., 6.68 km3/yr during 2000–2012 and 2.85 km3/yr during 2012–2017. The total overflow from Lake Kusai to Lake Haidingnuoer and Lake Salt during Nov 9–Dec 31 in 2011 was estimated to be 0.22 km3, providing critical information on lake overflow flood monitoring and prediction as the expansion of some TP lakes becomes a serious threat to surrounding residents and infrastructure.

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