A Digital Twin of the Trondheim Fjord for Environmental Monitoring—A Pilot Case

• Published in: Journal of marine science and engineering 2024-09, Vol.12 (9), p.1530
• Main Authors: Vasilijevic, Antonio, Brönner, Ute, Dunn, Muriel, García-Valle, Gonzalo, Fabrini, Jacopo, Stevenson-Jones, Ralph, Bye, Bente Lilja, Mayer, Igor, Berre, Arne, Ludvigsen, Martin, Nepstad, Raymond
• Format: Article
• Language: English
• Subjects: Algae; algae bloom; Algal blooms; Artificial intelligence; Benthos; Caesium; Case studies; Cesium; Climate change; Data acquisition; Data collection; Data entry; Decision making; Digital twins; digital twins of the ocean; Environmental conditions; Environmental monitoring; Environmental sustainability; Eutrophication; Fjords; Marine environment; marine robotics; Mathematical models; micro-particles; Microplastics; modelling; Numerical models; Observatories; ocean observatories; Plankton; Predictive analytics; R&D; Real time; Research & development; Sensors; Streams; Sustainable development; Twins; Video data; Visualization; Visualization (Computers); Water quality
• ISSN: 2077-1312; 2077-1312
• DOI: 10.3390/jmse12091530

Digital Twins of the Ocean (DTO) are a rapidly emerging topic that has attracted significant interest from scientists in recent years. The initiative, strongly driven by the EU, aims to create a digital replica of the ocean to better understand and manage marine environments. The Iliad project, funded under the EU Green Deal call, is developing a framework to support multiple interoperable DTO using a federated systems-of-systems approach across various fields of applications and ocean areas, called pilots. This paper presents the results of a Water Quality DTO pilot located in the Trondheim fjord in Norway. This paper details the building blocks of DTO, specific to this environmental monitoring pilot. A crucial aspect of any DTO is data, which can be sourced internally, externally, or through a hybrid approach utilizing both. To realistically twin ocean processes, the Water Quality pilot acquires data from both surface and benthic observatories, as well as from mobile sensor platforms for on-demand data collection. Data ingested into an InfluxDB are made available to users via an API or an interface for interacting with the DTO and setting up alerts or events to support ’what-if’ scenarios. Grafana, an interactive visualization application, is used to visualize and interact with not only time-series data but also more complex data such as video streams, maps, and embedded applications. An additional visualization approach leverages game technology based on Unity and Cesium, utilizing their advanced rendering capabilities and physical computations to integrate and dynamically render real-time data from the pilot and diverse sources. This paper includes two case studies that illustrate the use of particle sensors to detect microplastics and monitor algae blooms in the fjord. Numerical models for particle fate and transport, OpenDrift and DREAM, are used to forecast the evolution of these events, simulating the distribution of observed plankton and microplastics during the forecasting period.