We propose a multi-stage model for monitoring the Dissolved Oxygen measured continuously (every half an hour) by underwater sensors in the 'Smart Bay Santa Teresa', located on the Ligurian Eastern coast near La Spezia. This model represents the first attempt to construct a local digital twin of the bay, and it is based on three separated models for Water Temperature, Pressure (Depth) and Conductivity (Salinity). This approach enables the reconstruction of missing Dissolved Oxygen values in case of problems and failures, and also to correct the effect of biofouling on the sensors. Our procedure aims to establish a flexible framework that can be applied across various coastal environments, by leveraging both underwater sensor data and meteorological information to generate accurate descriptions and future predictions tailored to the specific study area.
A Multi-Stage Model for Dissolved Oxygen Monitoring of Coastal Seawater / Ferri, Vito; Thomas, Sele Okeoghene; Bordone, Andrea; Raiteri, Giancarlo; Ciuffardi, Tiziana; Lombardi, Chiara; Petrioli, Chiara; Spaccini, Daniele; Gjanci, Petrika; Pennecchi, Francesca; Coisson, Marco; Durin, Gianfranco. - (2024), pp. 501-506. (Intervento presentato al convegno 2024 IEEE International Workshop on Metrology for the Sea, MetroSea 2024 tenutosi a svn nel 2024) [10.1109/metrosea62823.2024.10765778].
A Multi-Stage Model for Dissolved Oxygen Monitoring of Coastal Seawater
Pennecchi, Francesca;Coisson, MarcoWriting – Review & Editing
;Durin, Gianfranco
Writing – Original Draft Preparation
2024
Abstract
We propose a multi-stage model for monitoring the Dissolved Oxygen measured continuously (every half an hour) by underwater sensors in the 'Smart Bay Santa Teresa', located on the Ligurian Eastern coast near La Spezia. This model represents the first attempt to construct a local digital twin of the bay, and it is based on three separated models for Water Temperature, Pressure (Depth) and Conductivity (Salinity). This approach enables the reconstruction of missing Dissolved Oxygen values in case of problems and failures, and also to correct the effect of biofouling on the sensors. Our procedure aims to establish a flexible framework that can be applied across various coastal environments, by leveraging both underwater sensor data and meteorological information to generate accurate descriptions and future predictions tailored to the specific study area.File | Dimensione | Formato | |
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