Linking contaminant distribution to hydrodynamic patterns in an urban estuary: The Douro estuary test case

Iglésias, I.; Almeida, C. Marisa R.; Teixeira, Catarina; Mucha, Ana P.; Magalhães, A.; Bio, Ana; Bastos, L.

doi:10.1016/j.scitotenv.2019.135792

Cited by 29 publications

(10 citation statements)

References 66 publications

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“…The river Douro flows into the Atlantic Ocean through an estuary surrounded by two large cities: Porto and Vila Nova de Gaia. The estuary is relatively narrow and highly dynamic, with torrential regimes that produce strong currents and recurrent floods (Bastos et al, 2012;Iglesias et al, 2020a). It has an irregular bathymetric configuration, with depths between 0 and 10 m, and some deeper regions, up to 28 m-deep, located at narrower sections, outer bends, and former sites of sediments extraction (Portela, 2008).…”

Section: Geographical Settingsmentioning

confidence: 99%

Improving Estuarine Hydrodynamic Forecasts Through Numerical Model Ensembles

et al. 2022

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Numerical models are essential tools for the study and analysis of the hydrodynamics of estuarine systems. However, the model results contain uncertainties, which need to be minimized to increase the accuracy of predictions. In this work, the ensemble technique is proposed as a solution to improve hydrodynamic forecasts for estuarine regions. Two numerical models, openTELEMAC-MASCARET and Delft3D, were considered for the application of this technique to two Portuguese estuaries. Superensembles for three scenarios (summer, winter, and extreme event) were built to assess the effectiveness of the technique in improving water level prediction. Various weighing techniques were tested in the construction of the ensembles. Weighing techniques that consider the previous performance of each model alone outperformed other techniques. This was observed for all scenarios considered, at all sampling points and in both studied estuaries. The effect of the ensemble size was also analyzed. It was found that the size of the set is directly related to the prediction accuracy, with the best results provided by the superensembles with the highest number of elements. It is concluded that the combined use of several hydrodynamic models reduces the uncertainty of the results and increases the reliability and consistency of predictions for estuarine regions.

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Section: Geographical Settingsmentioning

confidence: 99%

Improving Estuarine Hydrodynamic Forecasts Through Numerical Model Ensembles

et al. 2022

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“…Meanwhile, with the tidal driving effect, seawater as the medium could effectively transport the terrigenous matter from the estuary to the outer bay at low tide (Lin et al, 2019;Iglesias et al, 2020). The northern part of Zhanjiang Bay had a long and narrow terrain, while the southern part had a small bay mouth and a large stomach.…”

Section: Weak Turbulent Mixing Of Dissolved Organic Matter In Semi-cl...mentioning

confidence: 99%

Characteristics of Dissolved Organic Matter in a Semi-closed Bay in Summer: Insights from Stable Isotope and Optical Analyses

Zhong

Pan²,

Zhao³

et al. 2022

Front. Mar. Sci.

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Dissolved organic matter (DOM) serves as the most active and sensitive organic component in the bay, and its biogeochemical characteristics and reactivity are affected by the properties of terrestrial and marine substances significantly. In this study, in order to study the distribution and characteristics of DOM in a semi-closed bay, 34 water samples from 19 stations were collected from Zhanjiang Bay and analyzed for δ13C of dissolved inorganic carbon (DIC) and fluorescent components of DOM. The results showed that there were many sources of organic matter in the bay, including soil input, algae input, and sewage input. Influenced by freshwater input, DOM in the bay decreased from the upper bay to the outer bay. The organic matter in the bay displayed two characteristics, where the northern bay is composed of terrigenous organic matter mainly with high humus, while the southern bay is more inclined to marine sources with a high biological index (BIX) and low humification index (HIX). The correlation between organic matter with different characteristics and environmental parameters such as salinity, pH, and chlorophyll a was analyzed. The discrepancy may be caused by the weak turbulent mixing in the semi-closed bay.

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“…2), was the focus of previous studies. Balsinha et al [3] studied the textural composition of the Douro sediments and its relation with hydrodynamics, Bordalo et al [4] evaluated the water quality of the river during 10 years, and Iglesias et al [5] linked observed hydrodynamic patterns with the distribution of several pollutants and set up two numerical models of the Douro estuary to assess the flood risk and the breakwater effects in the estuary considering river flows from historical floods [6]. This work intends to update the flood risk assessment in the Douro estuary, the impacts of which regarding previous climate scenarios were already studied [7], by considering the effects of different representative concentration pathway (RCP) scenarios, which represents future greenhouse gases concentration in the atmosphere that can be associated to different ESL [8].…”

Section: Introductionmentioning

confidence: 99%