Advances in Modeling of Water Quality in Estuaries

Kenov, Isabella Ascione; Campuzano, Francisco; Franz, Guilherme; Fernandes, Rodrigo; Viegas, Claudia; Sobrinho, João; Pablo, Hilda de; Amaral, Andréia Vitor Couto do; Pinto, Lı́gia; Mateus, Marcos; Neves, Ramiro

doi:10.1007/978-3-319-06326-3_10

Cited by 12 publications

(7 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study the numerical model was implemented with a downscaling methodology. Such method is useful to interpolate the boundary conditions of locally refined models from regional, less resolved, models (Ascione et al, 2014). The model was configured using four nested domains as shown in Supporting Information III.…”

Section: Methodsmentioning

confidence: 99%

Modelling the thermal effluent of a near coast power plant (Sines, Portugal)

Salgueiro

Pablo

Neves

et al. 2015

RGCI

View full text Add to dashboard Cite

The present work is focused on the dispersion of a thermal effluent, produced by the Sines power plant, Portugal, along coastal waters. This facility intakes a yearly average around 40 m 3 /s of seawater, for the required cooling process, which is subsequently discharged back to the ocean at a 10 ºC increase in temperature. A three-dimensional hydrodynamic local model was nested into a regional model and set up to simulate the transport of the thermal effluent during two distinct periods, August and October 2013, respectively featuring dominant north and south wind. The simulations were performed for both situations, with and without the thermal discharge, where the later provides baseline scenarios. Obtained model results closely followed the existing field data. The temperature increase is shown to decay from 10 ºC near the outlet vicinity to 2 ºC at a distance of 2 km from the outlet for both scenarios. Even though the main driving force of this phenomenon is the wind, tidal conditions also have additional influence on thermal plume dispersion near the discharge area. In the north wind scenario the plume extends away from the coast while under south wind dominance the plume is contained near the coast, extending towards the inlet. As a consequence there is a positive feedback under south wind dominance, which is caused by the intake of already warm water from the thermal plume itself. Consequently, south wind dominance is the most unfavorable scenario for both coastal environment and the operational efficiency of the power plant. RESUMOModelação de um efluente térmico numa zona costeira (central termoelétrica de Sines, Portugal) Este artigo tem como objetivo estudar a dispersão do efluente térmico da central termoelétrica de Sines (Portugal) na zona costeira. Esta central retira em média 40 m 3 /s de água do oceano Atlântico que após o processo de refrigeração é restituída à fonte através de dois canais, com uma temperatura de 10º C acima daquela que tinha na zona de captação. De modo a estudar o transporte deste efluente térmico foi implementado um modelo hidrodinâmico tridimensional acoplado a um modelo regional. Foram simulados e analisados dois cenários de ventos diferentes, vento predominante do quadrante norte e vento predominante do quadrante sul. Para cada tipo de vento são comparados os resultados para a situação com e sem descarga. Os resultados obtidos com o modelo evidenciam a anomalia térmica, observável nos dados de campo, mostrando um aumento variável entre 10º C, na região próxima à descarga, até 2º C a cerca de 2 km da mesma área, para ambos cenários. Contudo, enquanto que no cenário de vento norte se observa uma pluma térmica estreita, ao longo da costa, no caso do vento sul observa-se uma pluma mais confinada à região da saída do efluente. O vento sul é o cenário mais desfavorável à eficiência da This article contains supporting information online at http://www.aprh.pt/rgci/pdf/rgci-577_Salgueiro_Supporting-Information.pdf central uma vez que nesta situação a pluma é direcionada para zona de...

show abstract

Section: Methodsmentioning

confidence: 99%

Modelling the thermal effluent of a near coast power plant (Sines, Portugal)

Salgueiro

Pablo

Neves

et al. 2015

RGCI

View full text Add to dashboard Cite

show abstract

“…The model was implemented by using a multinesting approach and software (Automatic Running Tool) developed at MARETEC, that allows automatic simulations within a nowcast/forecast perspective (ASCIONE et al, 2014;FRANZ et al, 2014b). Initially, three domains were nested in an online one-way for modelling the Brazilian south-eastern shelf (regional model).…”

Section: Model Domainsmentioning

confidence: 99%

From regional to local scale modelling on the south-eastern Brazilian shelf: case study of Paranaguá estuarine system

et al. 2016

Self Cite

View full text Add to dashboard Cite

The applicability of a numerical model following a downscaling methodology was evaluated for the south-eastern Brazilian shelf (regional model) and Paranaguá estuarine system (local model). This approach permits the simulation of different scale processes, such as storm surges and coastal upwelling, and is suitable for operational forecasting purposes. When large areas are covered by regional models, the tidal propagation inside the domain can be significantly affected by the local tidal potential, mainly where the resonance phenomenon is observed. The south-eastern Brazilian shelf is known for the resonance of the third-diurnal principal lunar tidal constituent (M3), the largest amplitudes being found in the Paranaguá estuarine system. Therefore, the significance of the local tidal potential was assessed in this study for the most important tidal constituents inside the estuarine system (including M3). The model validation was performed with tidal gauge data, Argo float profiles and satellite measurements of Sea Surface Temperature. The methodology described in this study can be replicated for other important estuarine systems located on the south-eastern Brazilian shelf. Furthermore, the numerical model was developed within a perspective of operational nowcast/forecast simulations, useful for several activities such as navigation and response to emergencies (e.g., oil spills). Abstract Descriptors:Numerical modelling, Tidal propagation, Resonance phenomenon, Downscaling, South-eastern Brazilian shelf, Paranaguá estuarine system. A aplicabilidade de um modelo numérico seguindo uma metodologia de downscaling foi avaliada para a plataforma sudeste brasileira (modelo regional) e o sistema estuarino de Paranaguá (modelo local). Esta abordagem permite simular fenômenos de escalas diferentes, como maré meteorológica e ressurgência costeira, e é apropriada para fins de previsão operacional. Quando grandes áreas são cobertas por modelos regionais, a propagação da maré no interior do domínio pode ser afetada significativamente pelo potencial local da maré, principalmente onde o fenômeno de ressonância é observado. A plataforma sudeste brasileira é conhecida pela ressonância da constituinte da maré lunar principal terci-diurna (M3), com as maiores amplitudes encontradas no sistema estuarino de Paranaguá. Por este motivo, a significância do potencial local da maré foi verificada neste estudo para as constituintes da maré mais importantes dentro do sistema estuarino (incluindo a M3). A validação do modelo foi realizada com dados de marégrafos, perfis de boias Argo e medições de satélite da temperatura da superfície do mar. A metodologia descrita neste estudo pode ser replicada para outros sistemas estuarinos importantes localizados na plataforma sudeste brasileira. Além disso, o modelo numérico foi desenvolvido na perspectiva de simulações operacionais em nowcast/ forecast, úteis para diversas atividades, como navegação e resposta a emergências (e.g., derrames de petróleo). ResumoDescritores: Modelagem numérica, Propagaçã...

show abstract

“…PCOMS is a 3-D hydro-biogeochemical model of the Iberian Western Atlantic region. Ocean boundary conditions are provided by the Mercator-Ocean PSY2V4 North Atlantic and by tidal levels computed by a 2-D version of MOHID Ascione Kenov et al, 2014), forced by FES2004, and running on a wider region. PCOMS has a horizontal resolution of 6.6 km and a vertical discretization of 50 layers with increasing resolution from the sea bottom upward, reaching 1 m at the surface (Ascione Kenov et al, 2014).…”

Section: Metocean Datamentioning

confidence: 99%

Combining operational models and data into a dynamic vessel risk assessment tool for coastal regions

Fernandes¹,

Braunschweig²,

Lourenço³

et al. 2016

Ocean Sci.

View full text Add to dashboard Cite

Abstract. The technological evolution in terms of computational capacity, data acquisition systems, numerical modelling and operational oceanography is supplying opportunities for designing and building holistic approaches and complex tools for newer and more efficient management (planning, prevention and response) of coastal water pollution risk events.A combined methodology to dynamically estimate time and space variable individual vessel accident risk levels and shoreline contamination risk from ships has been developed, integrating numerical metocean forecasts and oil spill simulations with vessel tracking automatic identification systems (AIS). The risk rating combines the likelihood of an oil spill occurring from a vessel navigating in a study area -the Portuguese continental shelf -with the assessed consequences to the shoreline. The spill likelihood is based on dynamic marine weather conditions and statistical information from previous accidents. The shoreline consequences reflect the virtual spilled oil amount reaching shoreline and its environmental and socio-economic vulnerabilities. The oil reaching shoreline is quantified with an oil spill fate and behaviour model running multiple virtual spills from vessels along time, or as an alternative, a correction factor based on vessel distance from coast. Shoreline risks can be computed in real time or from previously obtained data.Results show the ability of the proposed methodology to estimate the risk properly sensitive to dynamic metocean conditions and to oil transport behaviour. The integration of meteo-oceanic + oil spill models with coastal vulnerability and AIS data in the quantification of risk enhances the maritime situational awareness and the decision support model, providing a more realistic approach in the assessment of shoreline impacts. The risk assessment from historical data can help finding typical risk patterns ("hot spots") or developing sensitivity analysis to specific conditions, whereas real-time risk levels can be used in the prioritization of individual ships, geographical areas, strategic tug positioning and implementation of dynamic risk-based vessel traffic monitoring.

show abstract

Advances in Modeling of Water Quality in Estuaries

Cited by 12 publications

References 36 publications

Modelling the thermal effluent of a near coast power plant (Sines, Portugal)

Modelling the thermal effluent of a near coast power plant (Sines, Portugal)

From regional to local scale modelling on the south-eastern Brazilian shelf: case study of Paranaguá estuarine system

Combining operational models and data into a dynamic vessel risk assessment tool for coastal regions

Contact Info

Product

Resources

About