Evaluation of dike-type causeway impacts on the flow and salinity regimes in Urmia Lake, Iran

Zeinoddini, M.; Tofighi, Mohammadali; Vafaee, Fereydun

doi:10.1016/j.jglr.2008.08.001

Cited by 76 publications

(31 citation statements)

References 2 publications

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“…To apply bathymetry and the drought conditions, hydrodynamic models (2D or 3D) can be used. 3D models can present more reliable and rational hydrodynamic simulations (Zeinoddini et al 2009). Here, a 3D model (FVCOM) capable of accurately solving the scalar conservation equations along with topological flexibility provided by unstructured meshes was used (Chen et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Investigation of lake drying attributed to climate change

Abbaspour

Javid

Mirbagheri

et al. 2012

Int. J. Environ. Sci. Technol.

100

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In recent decades, climate change has been of great concern due to its effect on water level and its impact on aquatic ecosystems. Urmia Lake, the largest inland wetland in Iran, has been shrinking. There is a great concern whether it will dry up like the Aral Sea. Therefore, a hydrodynamic model has been developed to simulate the condition of Urmia Lake. The model has been validated using the known annual data on precipitation, evaporation, run off, river discharges and water level which are available for the last 35 years. Different hydrological conditions regarding lake input and output data were tested and water depth was calculated using bathymetry to predict waterlevel fluctuations in the future. The results predict that the water level will decrease continuously. The lake will be dried up in about 10 years if very dry conditions continue in the region. The drought speed cannot be reduced and there is no potential to develop a water-usage program. Besides, the lake water depth decrease is more slightly, applying alternate wet and dry-period conditions. In some hydrological conditions there is a good potential to consider water development projects. The sensitivity analysis of different parameters indicates that the lake is highly sensitive to river discharges, which implies that the water development project plans will disturb the lake ecosystem if implemented up to 2021 and integrated watershed management plan for the lake can change the condition by regulating the dam output.

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Section: Introductionmentioning

confidence: 99%

Investigation of lake drying attributed to climate change

Abbaspour

Javid

Mirbagheri

et al. 2012

Int. J. Environ. Sci. Technol.

100

View full text Add to dashboard Cite

show abstract

“…However, a faster settling velocity for the particles has been tested to examine shorter transport distances than the average settling velocities of the present simulation [24,44]. (3) It should be noted that although the dispersion coefficient changes with time and location (this is the same as the flow velocity), flow velocity changes may play a considerably larger role than the variable dispersion coefficient for pollutant transport [49,50]. Because the current 2D hydrodynamic model has the ability to represent the velocity field of Poyang Lake [28,30], thereby the spatial pattern of transport trajectory and the magnitude of residence time cannot produce large changes.…”

Section: Discussionmentioning

confidence: 99%

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 dye quickly arrived at the northward outlet, attributed to the along-channel advection-dominated regime, which is mostly due to the rapid along-channel water flows from shallower to deeper regions of the lake (Figures 6 and 13) as a result of the large water level gradients (Figure 2). It should be noted that although the dispersion coefficient changes with time and location (this is the same as the flow velocity), flow velocity changes may play a larger role than the variable dispersion coefficient of the hydrodynamic model [49,50].…”

Section: Travel Time For the Potential Pollution Sources And Physicalmentioning

confidence: 99%

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

Zhang

Yao

2015

Water

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Most biochemical processes and associated water quality in lakes depends on their flushing abilities. The main objective of this study was to investigate the transport time scale in a large floodplain lake, Poyang Lake (China). A 2D hydrodynamic model (MIKE 21) was combined with dye tracer simulations to determine residence and travel times of the lake for various water level variation periods. The results indicate that Poyang Lake exhibits strong but spatially heterogeneous residence times that vary with its highly seasonal water level dynamics. Generally, the average residence times are less than 10 days along the lake's main flow channels due to the prevailing northward flow pattern; whereas approximately 30 days were estimated during high water level conditions in the summer. The local topographically controlled flow patterns substantially increase the residence time in some bays with high spatial values of six months to one year during all water level variation periods. Depending on changes in the water level regime, the travel times from the pollution sources to the lake outlet during the high and falling water level periods (up to 32 days) are four times greater than those under the rising and low water level periods (approximately seven days). OPEN ACCESSWater 2015, 7 1992

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Evaluation of dike-type causeway impacts on the flow and salinity regimes in Urmia Lake, Iran

Cited by 76 publications

References 2 publications

Investigation of lake drying attributed to climate change

Investigation of lake drying attributed to climate change

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

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

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