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SWAM is an associated team that brings together multidisciplinary experts in fields such as stochastic analysis, numerical probabilities, fluid mechanics, ocean engineering and ecology.

Our main objective is to address current challenges related to the installation of desalination plants and their potential impact on ocean dynamics, thus affecting species composition and distribution in the surrounding aquatic ecosystems.

Our work in progress

Marine food dynamics web under harvesting
SDM-brine: A stochastic Lagrangian approach for large scale brine discharge simulations
2D Model for species / pollution interaction.

If you want to know more, visit or Work in Progress.

News

  • The second SWAM Workshop hosted by Universidad de Concepción through Departamento de Ingeniería Matemática. From december 1st to december 12th.
  • Kerlyns Martínez and Héctor Olivero have been accepted into the EU COST Action STOCHASTICA and have joined the working group led by Mireille Bossy on Stochastic systems and statistical methods.
  • Paul Maurer’s PhD defence held in November 14th at Université Côte d’Azur: Analyse et approximation de quelques équations différentielles stochastiques pour la modélisation de phénomènes non diffusifs, advised by Mireille Bossy.
  • Francisco Bernal’s engineering defence held in August 29th at Universidad de Valparaíso: Stochastic modeling of the movement of Chilean abalone and red sea urchin larvae to evaluate the effect of changes in environmental salinity, advised by Kerlyns Martinez and Héctor Olivero.
  • On May, we participate with a poster in the Ocean Festival in Nice.

If you want to know more, visit our Events page.

What’s next?

Regarding the flow modelling:

We plan to conduct a sensitivity analysis to identify potential improvements and to analyse the spatial extent of local changes in coastal environments attributable to brine discharges. This analysis will help us identify indicator species for long-term impact studies by means of dedicated population models including socioecological aspects by incorporating stochasticity and uncertainty.

Regarding the ecology and regulations modelling:

Perspectives on this topic cover control problems, analysis of spatial dynamics for kelp restoration, and long-term dynamics.