Modelación hidrodinámica y de calidad del agua en un ecosistema estuarino urbano con incidencia maregráfica y vertimientos de aguas residuales / Hydrodynamic and water quality modeling in an urban estuarine ecosystem with tidal incidence and sewage discharges / Modelagem hidrodinâmica e de qualidade da água em um ecossistema estuarino urbano com incidência da maré e descarga de esgoto

RESUMEN El efecto del régimen de mareas y la descarga directa de aguas residuales en áreas estuarinas pueden incrementar los problemas de contaminación debido a la retención y transporte de cargas contaminantes. El uso de modelos matemáticos se ha convertido en una herramienta esencial para la gestión del recurso hídrico en estos ambientes. En esta investigación se modeló la incidencia del régimen de mareas y los vertimientos de aguas residuales en la calidad de agua en un ambiente estuarino urbano utilizando el modelo HEC-RAS. El modelo fue calibrado/validado utilizando el caudal medio de largo periodo (QMLT) y parámetros de calidad de agua medidos en campo, tales como: DBO, OD, N-O2 y N-O3. Los resultados evidenciaron que los niveles de agua, caudales y parámetros de calidad de agua medidos en campo fueron bien representados por el modelo. Las simulaciones mostraron que la calidad del agua en todos los trechos aguas abajo de la PTAR se encuentran eutrofizados. Adicionalmente, el régimen de marea provoca retención y transporte de contaminantes en áreas de baja pendiente. El abordaje propuesto se constituye en una valiosa herramienta para evaluar la calidad de agua en ambientes estuarinos urbanos y áreas circundantes con incidencia de régimen maregráfico.

ABSTRACT The effect of the tidal regime and sewage discharge on estuarine areas can cause pollution problems, due to the retention and transport of pollutants. The use of mathematical models has become an essential tool for the water resources management in these environments. In this paper, the incidence of tidal regime and sewage discharge on the water quality of an urban estuarine ecosystem was modeled using the HEC-RAS model. The model was calibrated / validated using the medium long-term streamflow (QMLT) and water quality parameters measured in field, such as: BOD, DO, N-O2 N-O3. The results showed that the water level, streamflow and the water quality parameters measured in field were well represented from the model. The simulations showed that the water quality for all the sections downstream of the Wastewater Treatment Plant are eutrophied. Additionally the tidal regime causes retention and transport of pollutants in areas of low slope. The proposed approach is a valuable tool for assessing the water quality in urban estuarine environments and surrounding areas with incidence of tidal regime.

RESUMO O efeito do regime de marés e a descarga directa de esgoto em zonas estuarinas pode aumentar os problemas de poluição devido à retenção e transporte de cargas poluentes. A utilização de modelos matemáticos tornou-se uma ferramenta essencial para a gestão dos recursos hídricos nestes ambientes. Nesta investigação, a incidência do regime de marés e descargas de esgoto na qualidade da água em um ambiente estuarino urbano foi simulada utilizando o modelo HEC-RAS. O modelo foi calibrado/validado utilizando o caudal médio de longo período (QMLT) e parâmetros de qualidade da água medidos no campo, tais como DBO, OD, N-O2 e N-O3. Os resultados mostraram que os níveis da água, vazões e parâmetros de qualidade da água medidos no campo foram bem representados no modelo. As simulações mostraram que a qualidade da água em todos os trechos a jusante da ETE estão eutrofizados. Além disso, o regime de maré causa retenção e transporte de poluentes em áreas de baixa declividade. A abordagem proposta é uma ferramenta valiosa para avaliar a qualidade da água em ambientes estuarinos urbanos e áreas circundantes com incidência de regime de marés.

Environmental response of an Irish estuary to changing land management practices.

Anthropogenic pressures have led to problems of nutrient over-enrichment and eutrophication in estuarine and coastal systems on a global scale. Recent improvements in farming practices, specifically a decrease in fertiliser application rates, have reduced nutrient loadings in Ireland. In line with national and European Directives, monitoring of Irish estuarine systems has been conducted for the last 30years, allowing a comparison of the effectiveness of measures undertaken to improve water quality and chemical and biological trends. The Blackwater Estuary, which drains a large agricultural catchment on the south coast of Ireland, has experienced a decrease in calculated nitrogen (N) (17%) and phosphorus (P) (20%) loads in the last decade. Monitored long-term river inputs reflect the reductions while estuarine P concentrations, chlorophyll and dissolved oxygen saturation show concurrent improvement. Consistently high N concentrations suggest a decoupling between N loads and estuarine responses. This highlights the complex interaction between N and P load reductions, and biochemical processes relating to remineralisation and primary production which can alter the effectiveness of the estuarine filter in reducing nutrient transport to the coastal zone. Effective management and reduction of both diffuse and point nutrient sources to surface waters require a consideration of the processes which may alter the effectiveness of measures in estuarine and coastal waters.

A study of anthropogenic and climatic disturbance of the New River Estuary using a Bayesian belief network.

The present paper utilizes a Bayesian Belief Network (BBN) approach to intuitively present and quantify our current understanding of the complex physical, chemical, and biological processes that lead to eutrophication in an estuarine ecosystem (New River Estuary, North Carolina, USA). The model is further used to explore the effects of plausible future climatic and nutrient pollution management scenarios on water quality indicators. The BBN, through visualizing the structure of the network, facilitates knowledge communication with managers/stakeholders who might not be experts in the underlying scientific disciplines. Moreover, the developed structure of the BBN is transferable to other comparable estuaries. The BBN nodes are discretized exploring a new approach called moment matching method. The conditional probability tables of the variables are driven by a large dataset (four years). Our results show interaction among various predictors and their impact on water quality indicators. The synergistic effects caution future management actions.