A Multi-Stage Model for Dissolved Oxygen Monitoring of Coastal Seawater
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.
Authors
- Chiara Lombardi (ORCID: https://orcid.org/0000-0002-4165-3660)
- Stefy Thomas (ORCID: https://orcid.org/0000-0001-6890-8515)
- Daniele Spaccini (ORCID: https://orcid.org/0000-0001-9798-1121)
- Chiara Petrioli (ORCID: https://orcid.org/0000-0002-3240-5075)
- Gianfranco Durin (ORCID: https://orcid.org/0000-0002-0821-7541)
- Valentina Ferri (ORCID: https://orcid.org/0000-0001-8971-3493)
- Andrea Bordone (ORCID: https://orcid.org/0000-0002-2247-6953)
- Petrika Gjanci (ORCID: https://orcid.org/0000-0002-2231-4807)
- Tiziana Ciuffardi (ORCID: https://orcid.org/0000-0003-2512-7991)
- Marco Coïsson (ORCID: https://orcid.org/0000-0002-2978-7615)
- Francesca Pennecchi (ORCID: https://orcid.org/0000-0003-1328-3858)
- Giancarlo Raiteri (ORCID: https://orcid.org/0000-0001-9619-7327)
Institutions
- National Agency for New Technologies, Energy and Sustainable Economic Development (IT)
- Politecnico di Torino (IT)
- Istituto Nazionale di Ricerca Metrologica (IT)
- Sapienza University of Rome (IT)
Publication Details
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1109/metrosea62823.2024.10765778
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00