Yu Ye, Aurora González-Vidal, Alejandro Cisterna-García, Angel Pérez-Ruzafa, Miguel A. Zamora Izquierdo, Antonio F. Skarmeta
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Advancing Towards a Marine Digital Twin Platform: Modeling the Mar Menor Coastal Lagoon Ecosystem in the South Western Mediterranean
Coastal marine ecosystems face mounting pressures from anthropogenic
activities and climate change, necessitating advanced monitoring and modeling
approaches for effective management. This paper pioneers the development of a
Marine Digital Twin Platform aimed at modeling the Mar Menor Coastal Lagoon
Ecosystem in the Region of Murcia. The platform leverages Artificial
Intelligence to emulate complex hydrological and ecological models,
facilitating the simulation of what-if scenarios to predict ecosystem responses
to various stressors. We integrate diverse datasets from public sources to
construct a comprehensive digital representation of the lagoon's dynamics. The
platform's modular design enables real-time stakeholder engagement and informed
decision-making in marine management. Our work contributes to the ongoing
discourse on advancing marine science through innovative digital twin
technologies.