Research Projects
Passion for sea leads our vision and research

Research Projects

Scientia Maris Research Engineers have contributed to the following projects:


Numerical Modelling of Wave Disturbance in Port Basins

Decision Support Tool for Navigation Management in Ports

Ports are vital links in the chain of maritime transportations and have a decisive impact on their quality. Recent reports of marine accidents show that 60% of them are due to the human factor. The majority of accidents could be avoided if appropriate means of support for navigation existed. The tool to be developed will provide reliable data on prevailing sea states in both real-time and 3-day forecasts every 3 hours. The results will support approaching procedures of vessels to port and harbor basins. The application will be based on hydrodynamic models and will derive data from open seas forecasts


Coastal Flooding Warning System By Means Of Artificial Intelligence

Coastal flooding is regarded as one of the most dangerous natural disasters that can harm coastal cities. Rapid urbanization of coastal areas in conjunction with climate change and often inadequate coastal protection infrastructure, lead to increased flood risks for coastal communities. Thus, there is an urgent need to predict coastal flooding and set up early warning systems. To this end, the current research project aims at developing a fast and accurate computational system based on Artificial Intelligence, by creating an Artificial Neural Network (ANN) trained by a numerical model chain algorithm. The ANN is able to predict accurately and for any combination of offshore sea forecasts the imminent coastal flooding, the potential risk and the corresponding flooded area in both real-time and 3-day forecasts every 3 hours. This methodology can be applied to any coastal area. We take pride in having introduced Artificial Intelligence to tackle the problem of short-term prediction of coastal floods. The particular project, takes into account climate change scenarios, utilizes sea sate forecast input, simulates wave and hydrodynamic fields, classifies the imminent coastal flood risk, resulting in the development of an early warning system to enhance coastal resilience.


Integrated Modelling of Beach Dynamics Behind Submerged Breakwaters Supporting Marine Life

The main objective of the project was to develop advanced numerical models that can simulate accurately and in an integrated way the wave-induced processes that include wave propagation in the outer coastal, surf, and swash zones; wave field modification due to the presence of the defenses; sediment transportation and coastal morphology changes and other more focused issues such as diffraction effects and sediment suspension at the outer boundary of the swash zone. The previously mentioned defense system was further investigated from an environmental/biological point of view. Interdisciplinary approach models were also developed to predict the hydrodynamics inside the porous structures given the wave field around them. Thus a compromising relationship was developed between engineering and biological/environmental aspects.


PRedicting lOng-TErm coastAl morphodynamicS

The planning horizon in coastal zones can reach a few decades. Within such periods coastlines can exhibit significant modifications. Current predictions of coastal morphology by numerical models can typically cover periods of a few months due to prohibitive computing resources required. Bridging that gap is the scope of this research. This is primarily met by developing a method for smartly selecting input data that will induce faithful results using reduced resources. The method: optimises the number of storm and average sea-states; employs short-term wave statistics; introduces a hybrid morphology acceleration factor. The main impact to scientific knowledge derives from the capability to expand time-wise the prognostic strength of coastal morphology models. Thus coastal societies will be better equipped to manage their shores.

Wave Transmission trough Flushing Culverts in Breakwaters

Estimation of wave transmission trough flushing culverts in breakwaters. Conduction of laboratory experiments, measuring the free surface elevation near the area of a flushing culvert in a 3D wave basin. A composite model was developed, based on numerical modelling and Machine Learning techniques (Aritificial Neural Network) to calculate wave transmission coefficient.

Stochastic Simulation of Sea Waves in Shallow Waters

Stochastic representation of sea waves in coastal zones by means of a highly accurate Boussinesq-type wave model.

Capturing Potable Water From Sea Bottom Springs

Integrated sea & land investigation of the quantity and quality of the sea bottom water springs in the area of Stoupa in Messinia Prefecture. Numerical simulations of the wave and hydrodynamic field and sediment transport near the submerged spring were carried out.

Investigation of Flood Waves Along Aracthos River

Investigation of the extreme waves propagation due to dam-break along Aracthos River downstream of Pournari dam to the river's sea outlet. Two in-line dams were dealt with, through a series of scenarios. Associated flooded areas were determined. Similar areas were shown for five levels of operation of the hydro-electric plant and its relief installations. 

Propagation of Dam-Break Waves Along Acheloos River

Investigation of the extreme waves propagation due to dam-break along Acheloos River over a strch of approximately 200km. Five in-line dams were dealt with, through a series of ten scenarios.