Study on groundwater resources prediction based on multivariate time series CAR model in Dongting Lake area

Author(s):  
Ling Zeng ◽  
Xiang Qiu ◽  
Zhenning Shi
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 195703-195720
Author(s):  
Yikai Zhu ◽  
Xuemin Xing ◽  
Zhihui Yuan ◽  
Liang Bao ◽  
Lingjie Zhu ◽  
...  

2012 ◽  
Vol 518-523 ◽  
pp. 3652-3661
Author(s):  
Jing Bao Li ◽  
Ying Chao Guo ◽  
Zhong Hua Zhao ◽  
Hong Shuai ◽  
Lei Xie

Use the flood years (1998、2010) the data of the hydrologic information and disaster information, comparative analysis the impact on hydrologic information and disaster information in Dongting Lake area of the Three Gorges Reservoir flood prevention dispatching .The results show that: the inflow of lake into Jingjiang Sankou reduces about 242.61 × 108 m3,the flood level of Hukou Chenglingji lowers 0.82m, the daily average increasing rate of flood peak level slows 0.23m, the over-warning water level duration time reduces 62d; both have saved a great deal of flood control emergency rescue and disaster relief material consumption, manpower input, namely RMB 0.638 x 108yuan, and reduce the lake area flood damage 19.983 x 108yuan; in the process of 5 times flood prevention dispatching of the Three Gorges Reservoir, three times in July to alleviate flood control operation regime, disaster in Dongting Lake area the contribution of the largest, flood control operation effect is not very sensitive in June, and the impound floodwater sums to 80.7×108m3, not only of the lake area is no sense of flood control, but also because the flood retention of reservoir is more, the water of Sankou into the lake is greatly reduced, and Hunan sishui has begun to enter withered period, total amount into the lake gradually reduce, make the Dongting Lake water into withered period early; the ability of the Three Gorges Reservoir flood prevention dispatching operation to the flood prevention function is very limited, from the overall and long-term ways ,to enhance their ability of flood prevention and disaster alleviation of Dongting Lake area is still an important and comprehensive affairs.


2020 ◽  
Vol 12 (11) ◽  
pp. 1761 ◽  
Author(s):  
Juliane Huth ◽  
Ursula Gessner ◽  
Igor Klein ◽  
Hervé Yesou ◽  
Xijun Lai ◽  
...  

In China, freshwater is an increasingly scarce resource and wetlands are under great pressure. This study focuses on China’s second largest freshwater lake in the middle reaches of the Yangtze River—the Dongting Lake—and its surrounding wetlands, which are declared a protected Ramsar site. The Dongting Lake area is also a research region of focus within the Sino-European Dragon Programme, aiming for the international collaboration of Earth Observation researchers. ESA’s Copernicus Programme enables comprehensive monitoring with area-wide coverage, which is especially advantageous for large wetlands that are difficult to access during floods. The first year completely covered by Sentinel-1 SAR satellite data was 2016, which is used here to focus on Dongting Lake’s wetland dynamics. The well-established, threshold-based approach and the high spatio-temporal resolution of Sentinel-1 imagery enabled the generation of monthly surface water maps and the analysis of the inundation frequency at a 10 m resolution. The maximum extent of the Dongting Lake derived from Sentinel-1 occurred in July 2016, at 2465 km2, indicating an extreme flood year. The minimum size of the lake was detected in October, at 1331 km2. Time series analysis reveals detailed inundation patterns and small-scale structures within the lake that were not known from previous studies. Sentinel-1 also proves to be capable of mapping the wetland management practices for Dongting Lake polders and dykes. For validation, the lake extent and inundation duration derived from the Sentinel-1 data were compared with excerpts from the Global WaterPack (frequently derived by the German Aerospace Center, DLR), high-resolution optical data, and in situ water level data, which showed very good agreement for the period studied. The mean monthly extent of the lake in 2016 from Sentinel-1 was 1798 km2, which is consistent with the Global WaterPack, deviating by only 4%. In summary, the presented analysis of the complete annual time series of the Sentinel-1 data provides information on the monthly behavior of water expansion, which is of interest and relevance to local authorities involved in water resource management tasks in the region, as well as to wetland conservationists concerned with the Ramsar site wetlands of Dongting Lake and to local researchers.


2012 ◽  
Vol 212-213 ◽  
pp. 10-19 ◽  
Author(s):  
Ming Hua Deng ◽  
Ka Bo Liu ◽  
Zhen Yu Luan

Through analyzing 50-year hydraulic data and by means of water-sediment model of middle reach of Yangtze River for numerical simulation calculation, it studies flow and sediment diversion at Four Inlets of Dongting Lake and tendency and impacts of erosion-deposition variation, and predicts the conditions of Three Gorges Project after 30 years’ operation. It can be found that flow and sediment diversion at Four Inlets of Dongting Lake are decreasing and the zero flow period is constantly prolonged. River courses at Four Inlets and Dongting Lake continue to deposit and shrink, and the problem of water resource in the Dongting Lake area is becoming more serious than before. Operation of the Three Gorges Project has not changed this trend and with the time of the operation goes on, the trends of flow and sediment diversion and erosion-deposition at Four Inlets river courses and Dongting Lake will be more detrimental to the water resources in the Dongting Lake area and its problem will continue to deteriorate.


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