The toxic benthic dinoflagellate Ostreopsis cf. ovata causes harmful algal blooms in Apulia region of Southern Italy. In this study the volunteers of a citizens’ observatory engaged with public research centres to apply a machine learning approach and develop a predictive modelling tool able to forecast O. ovata blooms. We applied the Quantile Regression Forest to draw up two models named Model4Cities and Citizens’Model. Model4Cities was trained with data of cell abundance detected by the Regional Agency of Environmental Protection of Apulia from 2010 to 2022 in the cities of Bisceglie, Molfetta, Giovinazzo and Bari where the microalgae proliferate at high rates. Citizen’sModel was trained with data of cell abundance detected by citizens in two sites within the coastline of Molfetta from 2016 to 2022. Both models show a good capacity to forecast O. ovata concentrations as function of meteorological open data with 81% and 89% of prediction accuracy.
CNR-IBBR, Institute of Bioscience and Bioresources, Italy - ORCID: 0000-0001-5777-3651
ISPRA - Italian Institute for Environmental Protection and Research, Italy - ORCID: 0009-0004-6217-5786
ISPRA - Italian Institute for Environmental Protection and Research, Italy - ORCID: 0009-0002-1494-5171
CNR-IBBR, Institute of Bioscience and Bioresources, Italy
Osservatorio del Mare a Molfetta, Italy
Osservatorio del Mare a Molfetta, Italy
Osservatorio del Mare a Molfetta, Italy
Osservatorio del Mare a Molfetta, Italy
University of Genoa, Italy - ORCID: 0000-0002-2538-5985
Titolo del capitolo
Citizen science and machine learning forecasting Ostreopsis cf ovata blooms
Autori
Maddalena de Virgilio, Patrizia Borrello, Emanuela Spada, Pasquale Cataldo, Salvatore Cifarelli, Giuseppe Garofoli, Grazia Lamberti, Bernard Degryse, Ennio Ottaviani
Lingua
Italian
DOI
10.36253/979-12-215-0556-6.76
Opera sottoposta a peer review
Anno di pubblicazione
2024
Copyright
© 2024 Author(s)
Licenza d'uso
Licenza dei metadati
Titolo del libro
Tenth International Symposium "Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques"
Sottotitolo del libro
Livorno (Italy) 11th-13th June 2024
Curatori
Laura Bonora, Marcantonio Catelani, Matteo De Vincenzi, Giorgio Matteucci
Opera sottoposta a peer review
Anno di pubblicazione
2024
Copyright
© 2024 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-0556-6
eISBN (pdf)
979-12-215-0556-6
eISBN (xml)
979-12-215-0557-3
Collana
Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques
e-ISSN della collana
2975-0288