Wetting and Drying Simulation of Estuarine Processes

Ji, Zhen‐Gang; Morton, Michael R.; Hamrick, John M.

doi:10.1006/ecss.2001.0818

Cited by 142 publications

(56 citation statements)

References 12 publications

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“…The EFDC model is one of the most extensively applied and technically defensible hydrodynamic models in the world (Wu and Xu, 2011). It has been successfully applied for modeling the flow circulation, thermal stratification, sediment transport, water quality, and eutrophication processes in numerous rivers, reservoirs, lakes and estuaries (Hamrick, 1992;Ji et al, 2001;Zou et al, 2006;Liu and Huang, 2009;Li et al, 2011;Wu and Xu, 2011). Model details are provided in Hamrick (1992) and Craig (2011).…”

Section: Numerical Simulationmentioning

confidence: 99%

Impact of revised thermal stability on pollutant transport time in a deep reservoir

Wang

Jiang

et al. 2016

Journal of Hydrology

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Keywords:Thermal stratification Revised Schmidt stability Water age Deep reservoir Three-dimensional model s u m m a r y Thermal stability (Schmidt stability) and water age, which are significantly related to water quality and algae bloom in deep reservoirs, are two crucial indicators of stratification strength and pollutant transport time, respectively. Here, the original Schmidt stability, which was derived from a onedimensional assumption, was theoretically extended to a three-dimensional water body. In addition, a three-dimensional model was verified for the case study of Hongfeng Reservoir in China based on data from 2009 and 2010. Although the revised stability was similar to the original stability of Hongfeng Reservoir, which occurred at a relatively low level, the greater stratification in other deep water bodies would enhance their difference. Air temperature and water depth were the most important factors of the temporal variation in stability and the spatial variation in stability, respectively. The pollutant transport processes in the Hongfeng Reservoir was very complex with alternate appearances of overflow, interflow and underflow, depending on the season. The spatial water age was primarily determined by the morphometry and the inflow/outflow (with the highest water age in North Lake), whereas the vertical difference in the water age among the layers was primarily controlled by thermal stratification. Negative linear relationships between the average stability and the water ages of the bottom layers in three representative sites during summer were observed. Positive linear relationships between the average stability and the water ages of the surface layers were also observed. These findings enable a better understanding of the hydrodynamic and pollutant transport processes in a deep reservoir.

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Section: Numerical Simulationmentioning

confidence: 99%

Impact of revised thermal stability on pollutant transport time in a deep reservoir

Wang

Jiang

et al. 2016

Journal of Hydrology

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“…EFDC has become one of the most widely used hydrodynamic models. EFDC has been applied to different water bodies including rivers, lakes, reservoirs, wetlands, estuaries, and coastal regions in environmental assessment and management [63][64][65]. Franceschini and Tsai [66] coupled two numerical models, the Environmental Fluid Dynamic Code (EFDC), for the hydrodynamic portion, and WASP, for the fate and transport of contaminants, using the data from May 1995 to March 1997 on Lake Eris, and achieved an improved comparison of model predictions and measured data.…”

Section: Efdcmentioning

confidence: 99%

A review of hydrological/water-quality models

Gao¹,

Li²

2014

Front. Agr. Sci. Eng.

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Water quality models are important in predicting the changes in surface water quality for environmental management. A range of water quality models are wildly used, but every model has its advantages and limitations for specific situations. The aim of this review is to provide a guide to researcher for selecting a suitable water quality model. Eight well known water quality models were selected for this review: SWAT, WASP, QUALs, MIKE 11, HSPF, CE-QUAL-W2, ELCOM-CAEDYM and EFDC. Each model is described according to its intended use, development, simulation elements, basic principles and applicability (e.g., for rivers, lakes, and reservoirs and estuaries). Currently, the most important trends for future model development are: (1) combination models-individual models cannot completely solve the complex situations so combined models are needed to obtain the most appropriate results, (2) application of artificial intelligence and mechanistic models combined with nonmechanistic models will provide more accurate results because of the realistic parameters derived from nonmechanistic models, and (3) integration with remote sensing, geographical information and global position systems (3S) -3S can solve problems requiring large amounts of data.

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“…For this reason, wind stress formulations are tested but calibration of their parameters is not performed. In order to quantify the degree of agreement between simulated and ASAR imagery based flood maps, the fitting index in Equation (15) has been used [63][64][65]:…”

Section: Model Performancementioning

confidence: 99%

“…Various studies on shallow water bodies have documented the relationship between water level and local wind intensity, with short time lags of a few hours between wind speed changes and water level changes [12][13][14]. In the presence of low terrain slopes, as occurs in most wetlands and estuarine areas, this wind setup can eventually modify the inundation patterns [15]. If stratification occurs, persistent winds have also been identified as the cause of massive fish kills by upwellings of hypolimnetic water [16].…”

Section: Introductionmentioning

confidence: 99%

Envisat/ASAR Images for the Calibration of Wind Drag Action in the Doñana Wetlands 2D Hydrodynamic Model

et al. 2013

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Doñana National Park wetlands are located in southwest Spain, on the right bank of the Guadalquivir River, near the Atlantic Ocean coast. The wetlands dry out completely every summer and progressively flood again throughout the fall and winter seasons. Given the flatness of Doñana's topography, the wind drag action can induce the flooding or emergence of extensive areas, detectable in remote sensing images. Envisat/ASAR scenes acquired before and during strong and persistent wind episodes enabled the spatial delineation of the wind-induced water displacement. A two-dimensional hydrodynamic model of Doñana wetlands was built in 2006 with the aim to predict the effect of proposed hydrologic restoration actions within Doñana's basin. In this work, on-site wind records and concurrent ASAR scenes are used for the calibration of the wind-drag modeling by assessing different formulations. Results show a good adjustment between the modeled and observed wind drag effect. Displacements of up to 2 km in the wind direction are satisfactorily reproduced by the hydrodynamic model, while including an atmospheric stability parameter led to no significant improvement of the results. Such evidence will contribute to a more accurate simulation of hypothetic or design scenarios, when no information is available for the atmospheric stability assessment.

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Wetting and Drying Simulation of Estuarine Processes

Cited by 142 publications

References 12 publications

Impact of revised thermal stability on pollutant transport time in a deep reservoir

Impact of revised thermal stability on pollutant transport time in a deep reservoir

A review of hydrological/water-quality models

Envisat/ASAR Images for the Calibration of Wind Drag Action in the Doñana Wetlands 2D Hydrodynamic Model

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