Modelling the impact of dredging inlets on the salinity and temperature regimes in coastal lagoons

Bathymetry Time Series Using High Spatial Resolution Satellite Images

“…The results obtained show that the sedimentation processes occurring in the golas have produced a considerable reduction in their storage capacity, according the bathymetry. Although no significant changes have been detected in the current water renewal time in the lagoon compared to those estimated in the 1980s [25,27,83], the salinity has shown a tendency to approach the lower values of Mediterranean salinity rather than an increase [26]. It would be important to know how the observed changes can affect the capacity for water exchange between the Mar Menor lagoon and the Mediterranean Sea.…”

“…From this study, it can be concluded that the impacts of dredging the channels on the hydrodynamics of a coastal lagoon increase with the magnitude of the dredging activities. In this sense, there is a threshold for the magnitude of these activities beyond which important environmental effects can be expected [25,26]. Additionally, the SHYFEM has been used to model environmental parameters such as salinity and temperature [26] as well as the connectivity between the Mar Menor lagoon and the Mediterranean using a Lagrangian model [27,28], so as for predicting the effects of climate change [29].The 3D numerical models need precise and updated initial conditions (Xo, Yo, Zo) to run them [1].…”

“…In this sense, there is a threshold for the magnitude of these activities beyond which important environmental effects can be expected [25,26]. Additionally, the SHYFEM has been used to model environmental parameters such as salinity and temperature [26] as well as the connectivity between the Mar Menor lagoon and the Mediterranean using a Lagrangian model [27,28], so as for predicting the effects of climate change [29].The 3D numerical models need precise and updated initial conditions (Xo, Yo, Zo) to run them [1]. In all the cases, but mainly for applications in coastal zones, the applicability and usefulness of the results are highly dependent on the quality and spatial resolution of the bathymetric information and model grid setup, which determines not only the water column depth, but also information on bed roughness and the incorporation of specific structures and features that affect water and sediment transport dynamics.…”

Lagoon Resident Fish Species of Conservation Interest According to the Habitat Directive (92/43/CEE): A Review on Their Potential Use as Ecological Indicator Species

“…Despite being able to tolerate high eutrophicated systems [67] and suffering from the alteration and fragmentation of native habitats, due to the loss of typically lagoon morphologies as in the case of A. fasciatus and K. panizzae, N. canestrinii is particularly sensitive to salinity increase, its optimal salinity values ranging from 2 to 20 and never exceeding 30 [87]. Human-regulation of water exchanges is frequent in Mediterranean costal lagoons to meet the need for numerous anthropogenic activities, such as navigation and fishing and aquaculture, and to maintain the functioning of the ecosystem [122]. Modifying communication with the sea and dredging canals may lead to significant changes in retention time [123] and salinity values [122].…”

Using Machine-Learning Algorithms for Eutrophication Modeling: Case Study of Mar Menor Lagoon (Spain)

“…According to superiority of the ML algorithms, this study has been designed to fulfill the following objectives: (1) To select the specific variables that most related to the Chl-a production using wrapper feature selection algorithms in the Mar Menor lagoon; (2) to develop a predictive model to estimate the Chl-a concentration based on multilayer neural network (MLNN) and support vector regression (SVR) models; (3) to validate the performance of predictive models using different evaluation metrics and identify the best method in estimation of the Chl-a concentration for the Mar Menor lagoon. Several studies have been carried out on the eutrophication process and the water quality parameters of the Mar Menor lagoon [17,[34][35][36]. However, to the best of our knowledge, there is no previous research using machine learning models to predict water quality parameters in this lagoon, specifically Chl-a concentration.…”