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Open AccessArticle

Estimating Real-Time Water Area of Dongting Lake Using Water Level Information

1
School of Hydraulic Engineering, Changsha University of Science & Technology, Changsha 410114, China
2
Key Laboratory of Dongting Lake Aquatic Eco-Environmental Control and Restoration of Hunan Province, Changsha 410114, China
3
Department of Geography, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA
*
Author to whom correspondence should be addressed.
Water 2019, 11(6), 1240; https://doi.org/10.3390/w11061240
Received: 14 May 2019 / Revised: 7 June 2019 / Accepted: 9 June 2019 / Published: 13 June 2019
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PDF [3453 KB, uploaded 13 June 2019]
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Abstract

Dongting Lake, the second largest freshwater lake in China, is an important water source for the Yangtze River Basin. The water area of Dongting Lake fluctuates significantly daily, which may cause flooding and other relevant disasters. Although remote sensing techniques may provide lake area estimates with reasonable accuracy, they are not available in real-time and may be susceptible to weather conditions. To address this issue, this paper attempted to examine the relationship between lake area and the water levels at the hydrological stations. Multi-temporal water area data were derived through analyzing Moderate Resolution Imaging Spectroradiometer (MODIS) imagery using the Automatic Water Extraction Index (AWEI). Then we analyzed the inter- and intra-annual variations in the water area of the Dongting Lake. Corresponding water level information at hydrological stations of the Dongting Lake were obtained. Simple linear regression (SLR) models and stepwise multiple linear regression (SMLR) models were constructed using water levels and water level differences from the upstream and downstream hydrological stations. We used the data from 2004 to 2012 and 2012, respectively, to build the model, and applied the data from 2013 to 2015 to evaluate the models. Results suggest that the maximum water area of the Dongting Lake during 2000–2015 has a clear decreasing trend. The variations in the water area were characterized by hydrological seasons, with the annual minimum and maximum water areas occurring in January and September, respectively. The water level at the Chengjingji station, and water level differences between upstream stations and the Chengjingji station, play a major role in estimating the water area. Further, results also show that the SMLR established in 2012 performs the best in estimating water area of the Dongting Lake, especially with high water levels. View Full-Text
Keywords: Dongting Lake; water area; water level difference; stepwise multiple linear regression; MODIS Dongting Lake; water area; water level difference; stepwise multiple linear regression; MODIS
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Long, Y.; Tang, R.; Wu, C.; Jiang, C.; Hu, S. Estimating Real-Time Water Area of Dongting Lake Using Water Level Information. Water 2019, 11, 1240.

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