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Open AccessArticle

Using GRanD Database and Surface Water Data to Constrain Area–Storage Curve of Reservoirs

1
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2
Department of Hydrology and and Water Resources Science, University of Chinese Academy of Sciences, Beijing 100049, China
3
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
4
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
*
Author to whom correspondence should be addressed.
Water 2020, 12(5), 1242; https://doi.org/10.3390/w12051242
Received: 4 February 2020 / Revised: 22 February 2020 / Accepted: 26 February 2020 / Published: 27 April 2020
Basic information on global reservoirs is well documented in databases such as GRanD (Global Reservoir and Dam) and ICOLD (International Commission on Large Dams). However, though playing a critical role in estimating reservoir storage variations from remote sensing or hydrological models, area–storage curves of reservoirs are not conveniently obtained nor publicly shared. In this paper, we combine the GRanD database and Landsat-based global surface water extent (GSW) data to derive area–storage curves of reservoirs. The reported storage capacity in the GRanD database and water surface area from GSW data were used to constrain the area–storage curve. The proposed method has the potential to derive area–storage curves of reservoirs larger than 1 km2 archived in the GRanD database. The derived curves are validated with in situ reservoir data collected in US and China, and the results show that in situ records are well captured by the derived curves both in large and small reservoirs with various shapes. The derived area–storage curves could be employed to advance global monitoring or modeling of reservoir storage dynamics. View Full-Text
Keywords: reservoir; area–storage curve; satellite; GRanD reservoir; area–storage curve; satellite; GRanD
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MDPI and ACS Style

Mu, M.; Tang, Q.; Han, S.; Liu, X.; Cui, H. Using GRanD Database and Surface Water Data to Constrain Area–Storage Curve of Reservoirs. Water 2020, 12, 1242.

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