Development of a Waste Load Allocation Model for the Charleston Harbor Estuary, Phase II: Water Quality

Yassuda, Eduardo; Davie, Steven R.; Mendelsohn, Daniel; Isaji, T.; Peene, Steve

doi:10.1006/ecss.1999.0536

Cited by 25 publications

(5 citation statements)

References 4 publications

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“…The water quality module uses the grid and the velocity field results of the hydrodynamic module to obtain the dynamic distribution of the constituents. Yassuda et al (2000) presented the detailed formulation for the WQMAP system and the tools for visualizing the results.…”

Section: Modeling the Turbulent Viscositymentioning

confidence: 99%

Santos Sea Outfall Wastewater Dispersion Process: Physical Modeling Evaluation

Alfredini

Arasaki

Bernardino

2017

Journal of Coastal Research

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Alfredini, P.; Arasaki, E., and de Melo Bernardino, J.C., 0000. Santos sea outfall wastewater dispersion process: Physical modeling evaluation. Journal of Coastal Research, 00(0), 000-000. Coconut Creek (Florida), ISSN 0749-0208.To be environmentally sustainable, the ocean disposal of domestic sewage via a sea outfall must be carefully studied, such as previous modeling of waste-plume dispersion processes, for environmental impact assessments. A scale model, reproducing the Santos Bay and Estuary was calibrated at the Hydraulic Laboratory of Polytechnic School, University of Sã o Paulo, Brazil. The complete modeling of this large estuarine system used numerical and scale models, which were all related to each other. Such an overall model, composed of individual hydraulic and numerical components, is called a hybrid model. It combines the advantages of both model components and adequate field survey measurements and is particularly important for simulating the plume dispersion process in Santos Bay. The goal hereby is to present a performance comparison of the outfall plume dispersion for improvement in the length of the Santos outfall. The study required preliminary numerical simulations in the near-field mixing processes to define the boundary conditions in the beginning of the far field. In addition, numerical simulations in the far field were required to reproduce the wind effect for calibrating the scale model of the air-tunnel hydro-aerodynamics. Scale model runs, using an advanced methodology for dye-plume monitoring, were calibrated with a numerical model of the plume dispersion and validated with independent runs of another numerical model of plume dispersion and comparison with satellite images of the plume. The conclusion was that an enlargement of 1 km of the outfall would reduce the risk of the plume returning. ADDITIONAL INDEX WORDS:Southeastern Brazil, scale model, numerical model, plume monitoring, wind effect.

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Section: Modeling the Turbulent Viscositymentioning

confidence: 99%

Santos Sea Outfall Wastewater Dispersion Process: Physical Modeling Evaluation

Alfredini

Arasaki

Bernardino

2017

Journal of Coastal Research

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“…In the case of tidal hydrodynamic modelling, calibration and validation is commonly undertaken against separate sequences of tides covering at least a spring-neap cycle (nominally 15 days), often longer (Hall and Davies, 2005), and often from separate fi eld campaigns (Yassuda et al, 2000;Siegle et al, 2002;Tyrell and George, 2006).…”

Section: Evaluating the Performance Of Numerical Hydrodynamic And Sedmentioning

confidence: 99%

Critical perspectives on the evaluation and optimization of complex numerical models of estuary hydrodynamics and sediment dynamics

French

2009

Earth Surf Processes Landf

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Numerical hydrodynamic and sediment transport models provide a means of extending inferences from direct observation and for advancing our understanding of estuarine processes. However, their parametric complexity invites questions concerning the extent to which model output can be assessed with respect to data. This paper examines the basis for evaluating the performance of complex hydrodynamic and sediment transport models, with reference to a case study of a muddy meso-tidal estuary. Sophisticated and computationally-intensive models should be evaluated using robust objective functions, but conventional measures of fi t and model effi ciency invoke restrictive assumptions about the nature of the errors. Furthermore, they offer little insight into causes of poor performance. Optimization of tidal hydrodynamic models can usefully combine conventional performance measures with harmonic analysis of modelled shallow water tidal constituents that are diagnostic of the interactions between tidal propagation, bathymetry and bottom friction. Models with similar effi ciencies can thus be distinguished and likely sources of error pinpointed. Hydrodynamic models have a predictive power that is rooted in a more-or-less complete representation of the physical processes and boundary conditions that are well-constrained with respect to data. In contrast, fi ne sediment models rely on a less complete conceptualization of a broader set of processes and, crucially, have a parametric complexity that is unmatched by the quantity and quality of observational data. Their performance as measured by conventional objective functions is weaker and it is important to match the structural complexity of model errors with analyses that can localize the scales and times of poor performance. Wavelet analysis is potentially useful here as a means of identifying aspects of the model that need improvement. The context in which such models are deployed is also important. Used heuristically, what might otherwise be dismissed as weak models can still provide mechanistic support for empirically-derived inferences concerning specifi c aspects of system behaviour.

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“…The ammonia and phosphorus benthic flux servers as additional sources of nutrients into the system [31] and were determined by calibration. Optimal light intensity 250.0 ly day −1 Most of the reaction rates and constants were taken from water quality modeling literature ( [26,31,32]) and when changed during calibration, the literature ranges were used as guides.…”

Section: Model Settingmentioning

confidence: 99%

Three-dimensional numerical modelling of water quality in Dahuofang Reservoir in China

Wang

Shen

Hong

et al. 2011

Sci. China Phys. Mech. Astron.

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A three-dimensional eutrophication model was applied to assist the management of Dahuofang Reservoir in China. Transport processes were obtained from the three-dimensional, finite volume hydrodynamic model. The hydrodynamic model was verified for a one-year time period in 2006. Our simulation reproduced intra-annual variation of stratification. The simulated variation of vertical thermal structures also matched observations. The water quality model included 8 state variables, including dissolved oxygen, phytoplankton as carbon, carbonaceous biochemical oxygen demand, ammonium nitrogen, nitrate and nitrite nitrogen, ortho-phosphorus, organic nitrogen, and organic phosphorus. Sensitivity of the parameters has been analyzed to decide which process would affect the water quality in the simulation. The water quality verification suggested the model successfully computed the temporal cycles and spatial distributions of key water quality components. The comparison between water quality components before and after the first phase of the water conveyance project suggests that the project has a slight effect on the reservoir ecosystem. The model could be used as a tool to guide physico-biological engineering design or management strategies for Dahuofang Reservoir.Dahuofang Reservoir, reservoir, water quality, hydrodynamic, three-dimensional model PACS: 92.40.qf, 92.40.qc, 92.40.Cy, 92.40.We, 47.85.Dh

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Development of a Waste Load Allocation Model for the Charleston Harbor Estuary, Phase II: Water Quality

Cited by 25 publications

References 4 publications

Santos Sea Outfall Wastewater Dispersion Process: Physical Modeling Evaluation

Santos Sea Outfall Wastewater Dispersion Process: Physical Modeling Evaluation

Critical perspectives on the evaluation and optimization of complex numerical models of estuary hydrodynamics and sediment dynamics

Three-dimensional numerical modelling of water quality in Dahuofang Reservoir in China

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