Abstract
Periodic and accurate assessments of the water resources changes of artificial reservoirs are important for water resource management. Danjiangkou Reservoir (DJKR) is the largest artificial freshwater lake in Asia and is the freshwater source for Middle Route of South-to-North Water Diversion Project (MRSNWDP) in China. Remote sensing images of long time-series Landsat sensors and in situ observed storage data from 1993 to 2014 were used to monitor water resource variations of the DJKR. The results show significant monthly surface water area changes of the DJKR. Precipitation variations in the upper Hanjiang River Basin and reservoir operation missions are primarily responsible for these changes. In addition, the relationship between surface water area and reservoir storage of the DJKR can be described as a cubic polynomial model.
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Acknowledgments
This paper is financially supported by the National Key Research and Development Program of China (No. 2016YFB0502600), the National Natural Science Foundation of China (No. 41701594, No.41871302). We are indebted to the U.S. Geological Survey server for preprocessing data and providing the TM/Landsat-5, ETM +/Landsat-7, OLI/Landsat-8, and DEM data used in this manuscript. In addition, we are indebted to the Hydrology and Water Resources Survey Bureau of China for offering reservoir storage data.
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Chang, Y., Wang, H., Li, W., Wu, X., Sun, B. (2019). Exploring Water Resource Changes of Artificial Reservoir Using Time-Series Remote Sensing Images from Landsat Sensors and in Situ Data. In: Hu, C., Yang, W., Jiang, C., Dai, D. (eds) High-Performance Computing Applications in Numerical Simulation and Edge Computing. HPCMS HiDEC 2018 2018. Communications in Computer and Information Science, vol 913. Springer, Singapore. https://doi.org/10.1007/978-981-32-9987-0_4
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