Geomorphological and Meteorological Control of Estuarine Processes: A Three-Dimensional Modeling Analysis

Ahsan, Q.; Blumberg, Alan F.; Thuman, Andrew J.; Gallagher, Thomas W.

doi:10.1061/(asce)0733-9429(2005)131:4(259)

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…A similar response to upstream/downstream winds has been observed in other estuaries. For instance, Weisberg [1976], Scully et al [2005] and Ahsan et al [2005] found that wind forced signal in Narragansett Bay, the York River estuary and Escambia Bay, respectively, is mostly related to winds blowing along the estuary axis. Down‐estuary winds enhance the vertical shear, which interacts with the along‐channel density gradient to increase vertical stratification whereas up‐estuary winds tend to reduce, or even reverse the vertical shear, reducing vertical stratification.…”

Section: Summary Of Conclusion and Final Remarksmentioning

confidence: 99%

“…Nevertheless, shallowness makes this region highly sensitive to wind stress, so that disruptive wind events are known to partially to totally destroy salinity stratification [ Guerrero et al , 1997], exposing fish larvae and eggs to abrupt changes in salinity. A similar process has been observed in other estuaries, as, for instance, Narragansett Bay, Chesapeake Bay, Mobile Bay, York River Estuary and Escambia Bay, and is often referred to as wind induced destratification [ Weisberg , 1976; Blumberg and Goodrich , 1990; Schroeder et al , 1990; Bhopal et al , 1998; Scully et al , 2005; Ahsan et al , 2005]. Those papers show that wind‐induced stratification/destratification usually occurs in estuaries as a result of their response to winds blowing along the estuary axis: upstream blowing winds tend to destroy stratification whereas downstream winds tend to enhance it.…”

Section: Introductionmentioning

confidence: 99%

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Rio de la Plata estuary response to wind variability in synoptic to intraseasonal scales: 2. Currents' vertical structure and its implications for the salt wedge structure

Simionato¹,

Meccia²,

Guerrero³

et al. 2007

J. Geophys. Res.

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[1] The first acoustic Doppler current profiler current data collected at two locations of the Río de la Plata salt wedge during a period of around 6 months and salinity profiles gathered at and around those locations are used to study the vertical structure of currents' response to wind variability in synoptic to intraseasonal timescales and its implications for stratification. Results indicate that the estuary rapidly responds to prevailing southwesterlies/northeasterlies with currents that decay toward the bottom with only little rotation in depth. For the less frequent southeasterlies/northwesterlies the estuary develops a strong vertical structure with a defined inversion in current direction between surface and bottom layers. These patterns derive from the estuary's geometry and bathymetry. Results have important implications for the salinity vertical structure that are verified on the analyzed profiles. First, the combination of the bathymetry and coastline with the prevailing wind variability is highly favorable to the maintenance of a salt wedge structure in this estuary. Second, weakening and eventually breakdown of stratification can only occur for intense and/or persistent southeasterly winds, which even can be very strong, are not frequent. This can explain why the Río de la Plata displays the unusual feature of being an area of spawning and a nursery for a number of coastal species that use the wedge as an essential element for their reproduction. Results show that stratification is highly affected by short-term wind variability, which is its major characteristic in the area, changing the classical concept of summer-winter seasonality as the main feature of estuarine variability.Citation: Simionato, G. C., V. L. Meccia, R. Guerrero, W. C. Dragani, and M. Nuñez (2007), Rio de la Plata estuary response to wind variability in synoptic to intraseasonal scales: 2. Currents' vertical structure and its implications for the salt wedge structure,

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Section: Summary Of Conclusion and Final Remarksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rio de la Plata estuary response to wind variability in synoptic to intraseasonal scales: 2. Currents' vertical structure and its implications for the salt wedge structure

Simionato¹,

Meccia²,

Guerrero³

et al. 2007

J. Geophys. Res.

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“…Although full three-dimensional models are available to predict salt water intrusion in an estuary, a large amount of observational data and a considerable amount of effort are often needed to calibrate and validate these numerical models for further applications [3]- [14]. Because of the existing difficulties and challenges in the prediction of salinity variations using hydrodynamic model, a relatively novel computational approach, artificial neural networks (ANNs), which was widely accepted in many disciplines, provides an alternative method for one-step-ahead understanding and management of hydrodynamic processes.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Salinity Variations in a Tidal Estuary Using Artificial Neural Network and Three-Dimensional Hydrodynamic Models

Chen¹,

Liu²,

Huang³

et al. 2017

CWEEE

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The simulation of salinity at different locations of a tidal river using physically-based hydrodynamic models is quite cumbersome because it requires many types of data, such as hydrological and hydraulic time series at boundaries, river geometry, and adjusted coefficients. Therefore, an artificial neural network (ANN) technique using a back-propagation neural network (BPNN) and a radial basis function neural network (RBFNN) is adopted as an effective alternative in salinity simulation studies. The present study focuses on comparing the performance of BPNN, RBFNN, and three-dimensional hydrodynamic models as applied to a tidal estuarine system. The observed salinity data sets collected from 18 to 22 May, 16 to 22 October, and 26 to 30 October 2002 (totaling 4320 data points) were used for BPNN and RBFNN model training and for hydrodynamic model calibration. The data sets collected from 30 May to 2 June and 11 to 15 November 2002 (totaling 2592 data points) were adopted for BPNN and RBFNN model verification and for hydrodynamic model verification. The results revealed that the ANN (BPNN and RBFNN) models were capable of predicting the nonlinear time series behavior of salinity to the multiple forcing signals of water stages at different stations and freshwater input at upstream boundaries. The salinity predicted by the ANN models was better than that predicted by the physically based hydrodynamic model. This study suggests that BPNN and RBFNN models are easy-to-use modeling tools for simulating the salinity variation in a tidal estuarine system.

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Hydrological Processes

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Geomorphological and Meteorological Control of Estuarine Processes: A Three-Dimensional Modeling Analysis

Cited by 6 publications

References 18 publications

Rio de la Plata estuary response to wind variability in synoptic to intraseasonal scales: 2. Currents' vertical structure and its implications for the salt wedge structure

Rio de la Plata estuary response to wind variability in synoptic to intraseasonal scales: 2. Currents' vertical structure and its implications for the salt wedge structure

Prediction of Salinity Variations in a Tidal Estuary Using Artificial Neural Network and Three-Dimensional Hydrodynamic Models

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