Impact of lake inflow and the Yangtze River flow alterations on water levels in Poyang Lake, China

2014 ◽  
Vol 30 (4) ◽  
pp. 321-330 ◽  
Author(s):  
Xijun Lai ◽  
Qun Huang ◽  
Yinghao Zhang ◽  
Jiahu Jiang
Keyword(s):  
Yangtze River ◽  
River Flow ◽  
Poyang Lake ◽  
Water Levels ◽  
The Yangtze River

Interactions of the Yangtze river flow and hydrologic processes of the Poyang Lake, China

2007 ◽  
Vol 347 (1-2) ◽  
pp. 90-100 ◽  
Author(s):  
Qi Hu ◽  
Song Feng ◽  
Hua Guo ◽  
Guiya Chen ◽  
Tong Jiang
Keyword(s):  
Yangtze River ◽  
River Flow ◽  
Poyang Lake ◽  
The Yangtze River ◽  
Hydrologic Processes

scholarly journals Hydrological evidence and causes of seasonal low water levels in a large river-lake system: Poyang Lake, China

2016 ◽  
Vol 47 (S1) ◽  
pp. 24-39 ◽  
Author(s):  
Jing Yao ◽  
Qi Zhang ◽  
Yunliang Li ◽  
Mengfan Li
Keyword(s):  
Yangtze River ◽  
Water Resource Management ◽  
Poyang Lake ◽  
Large River ◽  
Water Levels ◽  
The Yangtze River ◽  
Lake System ◽  
Spatial Differences ◽  
Northern Portion ◽  
Lake Systems

Seasonal variations in local catchments and connected rivers lead to complex hydrological behaviours in river-lake systems. Poyang Lake is a seasonally dynamic lake with frequent low levels in spring and autumn, which may be triggered by the local catchment and Yangtze River. Based on two typical years, a hydrodynamic model combined with long term hydrological observations was applied to quantify the spatiotemporal impacts of the local catchment and Yangtze River on spring and autumn low water levels in Poyang Lake. As a first attempt, this study explored the spatial differences of the two influences. Simulation results showed that the contributions of the catchment and the Yangtze River were approximately 70% and 30% in spring 1963, and 5% and 95% in autumn 2006, respectively. The area of catchment influence was mainly distributed in channels and southern floodplains, with relatively uniform water levels. The area impacted by the Yangtze River mainly spanned from the northern portion of the waterway to the central lake, with strong spatial variability. This study focused on two typical years; however, the results can be extended to explain common hydrological phenomena and improve future strategies of water resource management in this river-lake system.

scholarly journals Investigating a complex lake-catchment-river system using artificial neural networks: Poyang Lake (China)

2015 ◽  
Vol 46 (6) ◽  
pp. 912-928 ◽  
Author(s):  
Y. L. Li ◽  
Q. Zhang ◽  
A. D. Werner ◽  
J. Yao
Keyword(s):  
Water Level ◽  
Lake Water ◽  
Yangtze River ◽  
Poyang Lake ◽  
Multiple Stressors ◽  
Resource Planning ◽  
Water Levels ◽  
The Yangtze River ◽  
Large Lake ◽  
Lake Catchment

Lake hydrological simulations using physically based models are cumbersome due to extensive data and computational requirements. Despite an abundance of previous modeling investigations, real-time simulation tools for large lake systems subjected to multiple stressors are lacking. The back-propagation neural network (BPNN) is applied as a first attempt to simulate the water-level variations of a large lake, exemplified by the Poyang Lake (China) case study. The BPNN investigation extends previous modeling efforts by considering the Yangtze River effect and evaluating the influence of the Yangtze River on the lake water levels. Results indicate that the effects of both the lake catchment and the Yangtze River are required to produce reasonable BPNN calibration statistics. Modeling results suggest that the Yangtze River plays a significant role in modifying the lake water-level changes. Comparison of BPNN models to a 2D hydrodynamic model (MIKE 21) shows that comparable accuracies can be obtained from both modeling approaches. This implies that the BPNN approach is well suited to long-term predictions of the water-level responses of Poyang Lake. The findings of this work demonstrate that BPNN can be used as a valuable and computationally efficient tool for future water resource planning and management of the Poyang Lake.

scholarly journals Monitoring Temporal Change of River Islands in the Yangtze River by Remotely Sensed Data

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1484 ◽  
Author(s):  
Jinyan Sun ◽  
Lei Ding ◽  
Jiaze Li ◽  
Haiming Qian ◽  
Mengting Huang ◽  
...  
Keyword(s):  
Water Level ◽  
Yangtze River ◽  
Temporal Change ◽  
Flood Disaster ◽  
Water Levels ◽  
Sediment Supply ◽  
The Yangtze River ◽  
Flood Warning ◽  
River Islands ◽  
The Impact

The spatial extent and area of river islands are always changing due to the impact of hydrodynamic conditions, sediment supply and human activities. A catastrophic flood disaster was driven by sustained and heavy rainfall around the middle and lower Yangtze River in 18 June to 21 July 2016. The flood resulted in the most serious social-economic loss since 1954 and caused a larger-scale inundation for a short time. It is essential to continuously monitor the dynamics changes of river islands because this can avoid frequent field measurements in river islands before and after flood disasters, which are helpful for flood warning. This paper focuses on the temporal change of three river islands called Fenghuangzhou, Changshazhou, and one uninhabited island in the Yangtze River in 2016. In this study, GF-1 (GaoFen-1) WFV (wide field view) data was used for our study owing to its fine spatial and temporal resolution. A simple NDWI (Normalized Difference Water Index) method was used for the river island mapping. Human checking was then performed to ensure mapping accuracy. We estimated the relationship between the area of river islands and measured water levels using four models. Furthermore, we mapped the spatial pattern of inundation risk of river islands. The results indicate a good ability of the GF-1 WFV data with a 16-m spatial resolution to characterize the variation of river islands and to study the association between flood disaster and river islands. A significantly negative but nonlinear relationship between the water level and the area of the river island was observed. We also found that the cubic function fits best among three models (R2 > 0.8, P < 0.001). The maximum of the inundated area at the river island appeared in the rainy season on 8 July 2016 and the minimum occurred in the dry season on 28 December 2016, which is consistent with the water level measured by the hydrological station. Our results derived from GF-1 data can provide a useful reference for decision-making of flood warning, disaster assessment, and post-disaster reconstruction.

scholarly journals Analysis on the Water Exchange between the Main Stream of the Yangtze River and the Poyang Lake

2011 ◽  
Vol 10 ◽  
pp. 2256-2264 ◽  
Author(s):  
Junkai Zhao ◽  
Jiufa Li ◽  
Hong Yan ◽  
Lin Zheng ◽  
Zhijun Dai
Keyword(s):  
Yangtze River ◽  
Water Exchange ◽  
Poyang Lake ◽  
Main Stream ◽  
The Yangtze River

scholarly journals A modeling study of the influences of Yangtze River and local catchment on the development of floods in Poyang Lake, China

2016 ◽  
Vol 47 (S1) ◽  
pp. 102-119 ◽  
Author(s):  
Xianghu Li ◽  
Jing Yao ◽  
Yunliang Li ◽  
Qi Zhang ◽  
Chong-Yu Xu
Keyword(s):  
Yangtze River ◽  
Lake Level ◽  
Poyang Lake ◽  
Hydrological Regime ◽  
The Yangtze River ◽  
Lake Level Changes ◽  
The North ◽  
Physically Based ◽  
North And South ◽  
Catchment Runoff

Poyang Lake, one of the most frequently flooded regions in China, connects with the Yangtze River and the five sub-tributaries in the local catchment. The lake's hydrological regime is complicated by a complex hydraulic connection and strong river–lake interaction, especially for the extreme hydrological regime. This study analyzes the relationships between the lake level changes and the flow regimes of Yangtze River and local catchment during the flood season and employs a physically based hydrodynamic model to quantify their relative contributions to the development of floods. The study found that the large catchment runoff and Yangtze River discharge were both significant contributors to flood development but that their contributions were unevenly distributed in time and space. The local catchment imposed more influence during the period of April–May and at the middle parts of the lake, and its influence decreased toward the north and south; in contrast, the most remarkable lake level changes were observed in July–August and at the northern lake for the Yangtze River cases, and these changes reduced from north to south. Moreover, Yangtze River imposed far stronger influences on the lake level changes than the catchment runoff and dominated the duration of floods to a great extent.

Application of unstructured grid finite-volume coastal ocean model (FVCOM) to the Yangtze River hypoxic zone

2016 ◽  
Vol 26 (8) ◽  
pp. 2410-2418 ◽  
Author(s):  
Zhanhong Wan ◽  
Zongfu Ren ◽  
Xiaochun Wang ◽  
Honghao Zheng
Keyword(s):  
Finite Volume ◽  
Yangtze River ◽  
River Flow ◽  
Ocean Model ◽  
Trade Wind ◽  
Freshwater Flux ◽  
The Yangtze River ◽  
Content Type ◽  
Factors Affecting ◽  
Coastal Ocean Model

Purpose To observe the relations between three important factors resulting in estuarial Hypoxia phenomena of Yangtze River – wind, river flow, and stratification. The purpose of the paper is to analyze the possible reasons why hypoxia occurs in late spring and disappears in October. Design/methodology/approach To overcome the difficulty in examining the role of physical and biological factors affecting hypoxia based on measurement alone, finite-volume community ocean model (FVCOM) was introduced into the investigation. Observed freshwater flux data from Yangtze River, monthly averaged wind speed data, and other observed data were input into the model; the accuracy of which was validated with various kinds of data. The authors used the trajectories of Lagrangian particles from Yangtze River to study the regions of strong riverine influence under different wind forcing conditions and compared the simulation results with former observations. Findings Trade wind is a significant factor to influence the forming and receding of hypoxia across the Yangtze River. Originality/value Using FVCOM to investigate estuary hypoxia is more economical and effective.

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