Article ID Journal Published Year Pages File Type
1056438 Journal of Environmental Management 2012 13 Pages PDF
Abstract

A simplified two-dimensional eutrophication model was developed to simulate temporal and spatial variations of chlorophyll-a in heavily regulated coastal lagoons. This model considers the hydrodynamics of the whole study area, the regulated connexion of the lagoon with the sea, the variability of the input and output nutrient loads, the flux from the sediments to the water column, the phytoplankton growth and mortality kinetics, and the zooplankton grazing. The model was calibrated and validated by applying it to the Albufera of Valencia, a hypertrophic system whose connection to the sea is strongly regulated by a system of sluice-gates. The calibration and validation results presented a significant agreement between the model and the data obtained in several surveys. The accuracy was evaluated using a quantitative analysis, in which the average uncertainty of the model prediction was less than 6%. The results confirmed an expected phytoplankton bloom in April and October, achieving mean maximum values around 250 μg l−1 of chlorophyll-a. A mass balance revealed that the eutrophication process is magnified by the input loads of nutrients, mainly from the sediments, as well as by the limited connection of the lagoon with the sea. This study has shown that the developed model is an efficient tool to manage the eutrophication problem in heavily regulated coastal lagoons.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► A simple eutrophication model was developed for heavily regulated coastal lagoons. ► This model provides an accurate description of the lagoon chlorophyll dynamics. ► A sensitivity analysis showed the endogenous respiration as the dominant parameter. ► Model results showed that phytoplankton blooms were related to rice farming. ► The phosphorus flux from sediment maintains the high chlorophyll concentrations.

Related Topics
Physical Sciences and Engineering Energy Renewable Energy, Sustainability and the Environment
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