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

Yuannan Long,Changbo Jiang,Shixiong Hu,Rong Tang,Changshan Wu

doi:10.3390/w11061240

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.

Highlights

Lakes only account for a small part of the earth’s total water bodies, they are directly associated with climatic changes and human activities, and significantly affect our daily lives [1].Lake area changes are of great significance to the lake’s water ecological environment and water balance [2,3]
The water area was extracted through applying the Automatic Water Extraction Index (AWEI) to the Moderate Resolution Imaging Spectroradiometer (MODIS) images, and validated using the Landsat images acquired during the same day
It can be seen that relative error (Re) values are less than 10%, indicating that the MODIS data and the Landsat data were in good agreement and satisfied the requirements for accurate extraction of the Dongting

Summary

Introduction

Lakes only account for a small part of the earth’s total water bodies, they are directly associated with climatic changes and human activities, and significantly affect our daily lives [1]. Lake area changes are of great significance to the lake’s water ecological environment and water balance [2,3]. The water area of lakes has mostly decreased in recent decades [4,5]. When compared to that in the 1960s, the water area of Lake Chad in the 1970s to 1980s was reduced by. By analyzing satellite observation data of Siberia since 1973, Smith and Sheng (2005) found that the water areas of Arctic lakes significantly decreased due to global warming [7]. Major lakes in China, including Poyang Lake, Dongting Lake, Tai Lake, and Hong Lake, have been shrinking

Methods

Results

Conclusion