Investigation of Residence and Travel Times in a Large Floodplain Lake with Complex Lake-River Interactions: Poyang Lake (China)

Li, Yunliang; Zhang, Qi; Yao, Junqiang

doi:10.3390/w7051991

Cited by 49 publications

(34 citation statements)

References 44 publications

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“…As a typical flushing lake, Poyang Lake has a relatively shorter water retention time (7 days to 30 days) during different water regimes [28], in comparison with Tai Lake (270 days) and Chao Lake (136 days) [29,30]. Spatially, site 1 has the highest RS s,p for TN, TP, and NH 4 -N, which may be attributed that the Rao River was characterized with highest pollutants concentration [31] (Figure S1), with average fluxes of 0.54 kg/s and 0.05 kg/s for NH 4 -N and TP in 2009-2011, which were approximately 7 and 2 times higher than the Xiu River.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Variability in the Water Quality of Poyang Lake and Its Associated Responses to Hydrological Conditions

Gao

Zhang

et al. 2016

Water

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Abstract:Determining the spatiotemporal water quality patterns and their corresponding driving factors is crucial for lake water quality managements. This study analyzed hydrological data and concentrations of 11 water quality parameters, including total nitrogen, total phosphorus, ammonia nitrogen and chlorophyll-a (Chl-a), for water samples collected from 15 sampling sites between 2009 and 2014. The water quality of sites in the northern Poyang Lake-Yangtze River waterway was influenced by different environmental parameters compared to sites in central lake, especially for Chl-a concentration. All pollutant parameters were significantly higher in the river phase (water level <14 m) than in the lake phase (water level >14 m) (p < 0.05). These results were confirmed via principal component analysis, which identified three principal components that explained over 79% of the dataset variance. Among all the parameters related to climatic factors, eutrophication and organic pollution were the most important contributors in water quality. Dilution was the controlling factor that drove the seasonal variability in the water quality of the Poyang Lake, China. This work further indicated that regulating pollutant effluents in tributaries and water level within the lake could improve the water quality in Poyang Lake, which may give some impetus for water quality management.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal Variability in the Water Quality of Poyang Lake and Its Associated Responses to Hydrological Conditions

Gao

Zhang

et al. 2016

Water

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“…Poyang Lake is generally shallow, with 85% of the lake less than 6 m depth during the flood seasons, as calculated from previous model results [28]. The temperature and velocity stratification can be neglected due to mostly small differences in measured vertical profiles [30,37]. Therefore, vertically averaged currents (or two-dimensional currents) are suitable to represent the wide and shallow characteristics of Poyang Lake.…”

Section: Data Availability and Model Descriptionmentioning

confidence: 96%

“…In response to this, a 2D horizontal depth-averaged hydrodynamic model of Poyang Lake has been implemented using MIKE 21 to investigate the seasonal dynamics of water levels, water surface areas and water flow patterns [28]. The MIKE 21 hydrodynamic model has already been successfully applied to a number of case studies, as exemplified by Poyang Lake [8,[29][30][31]. The MIKE 21 hydrodynamic model of Poyang Lake covers the maximum historical flood inundation area of 3124 km 2 , and adopts a 2D grid with variable mesh resolution to capture the complex lake bathymetry.…”

Section: Data Availability and Model Descriptionmentioning

confidence: 99%

“…The simulated seasonal variations in the lake water surface area produced the relative errors (Re) of 3.3% and 16.8% for wet and dry seasons, respectively [28]. The R 2 varied from 0.79 to 0.84 for the velocity profile comparison between ADCP observations and model simulations [30]. Based on these results, the MIKE 21 hydrodynamic model was able to reproduce the major flow features of the lake, including the transient nature of flooding and recession events.…”

Section: Data Availability and Model Descriptionmentioning

confidence: 99%

“…The model was used to investigate the effects of the Yangtze River and the catchment on the seasonal changes in Poyang Lake water levels [29]. More recently, the model was adopted to explore the seasonal variations of flushing ability in Poyang Lake [30] and investigate the hysteretic relationships of the extensive floodplains of Poyang Lake [31]. Despite several efforts to improve understanding of the river-lake system, questions remain regarding the transport behaviors and causes of Poyang Lake.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Transport Trajectory and Residence Time in Large River–Lake Systems: Application to Poyang Lake (China) Using a Combined Model Approach

Yao

2015

Water

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Abstract:The biochemical processes and associated water quality in many lakes mainly depend on their transport behaviors. Most existing methodologies for investigating transport behaviors are based on physically based numerical models. The pollutant transport trajectory and residence time of Poyang Lake are thought to have important implications for the steadily deteriorating water quality and the associated rapid environmental changes during the flood period. This study used a hydrodynamic model (MIKE 21) in conjunction with transport and particle-tracking sub-models to provide comprehensive investigation of transport behaviors in Poyang Lake. Model simulations reveal that the lake's prevailing water flow patterns cause a unique transport trajectory that primarily develops from the catchment river mouths to the downstream area along the lake's main flow channels, similar to a river-transport behavior. Particle tracking results show that the mean residence time of the lake is 89 days during July-September. The effect of the Yangtze River (the effluent of the lake) on the residence time is stronger than that of the catchment river inflows. The current study represents a first attempt to use a combined model approach to provide insights into the transport behaviors for a large river-lake system, given proposals to manage the pollutant inputs both directly to the lake and catchment rivers. OPEN ACCESSWater 2015, 7 5204

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The influence of river‐to‐lake backflow on the hydrodynamics of a large floodplain lake system (Poyang Lake, China)

Zhang

Werner

et al. 2016

Hydrological Processes

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Backflow, the temporary reversal of discharge at the outlet of a lake, is an important mechanism controlling flow and transport in many connected river-lake systems. This study used statistical methods to examine long-term variations and primary causal factors of backflow from the Yangtze River to a laterally connected, large floodplain lake (Poyang Lake, China). Additionally, the effects of backflow on the lake hydrology were explored using a physically based hydrodynamic model and a particletracking model. Although backflow into Poyang Lake occurs frequently, with an average of 16 backflow events per year, and varies greatly in magnitude between years, statistical analysis indicates that both the frequency and magnitude of backflow reduced significantly during 2001-2010 relative to the previous period of 1960-2000. The ratio of Poyang Lake catchment inflows to Yangtze River discharge can be used as an indication of the daily occurrence of backflow, which is most likely to occur during periods when this ratio is lower than 5%. Statistical analysis also indicates that the Yangtze River discharge is the main controlling factor of backflow during July to October, rather than catchment inflows to the lake. Hydrodynamic modelling reveals that, in general, backflow disturbs the normal northward water flow direction in Poyang Lake and transports mass~20 km southward into the lake. The effects of backflow on flow direction, water velocities and water levels propagate to virtually its upstream extremity. The current study represents a first attempt to explore backflow and causal factors for a highly dynamic floodplain lake system. An improved understanding of Poyang Lake backflow is critical for guiding future strategies to manage the lake, its water quality and ecosystem value, given proposals to modify the lake-river connectivity.

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Investigation of Residence and Travel Times in a Large Floodplain Lake with Complex Lake-River Interactions: Poyang Lake (China)

Cited by 49 publications

References 44 publications

Spatiotemporal Variability in the Water Quality of Poyang Lake and Its Associated Responses to Hydrological Conditions

Spatiotemporal Variability in the Water Quality of Poyang Lake and Its Associated Responses to Hydrological Conditions

Estimation of Transport Trajectory and Residence Time in Large River–Lake Systems: Application to Poyang Lake (China) Using a Combined Model Approach

The influence of river‐to‐lake backflow on the hydrodynamics of a large floodplain lake system (Poyang Lake, China)

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