Janeiro, J.

PT

Effects of sea level rise on salinity and tidal flooding patterns in the Guadiana Estuary
Enhancing the management response to oil spills in the Tuscany Archipelago through operational modelling
Integrating technologies for oil spill response in the SW Iberian coast
Marine Litter on the Coast of the Algarve: Main Sources and Distribution Using a Modeling Approach
Marine spatial planning and oil spill risk analysis: Finding common grounds
Mendonça, F., Martins, F., Janeiro, J. (2023). SMS-Coastal, a New Python Tool to Manage MOHID-Based Coastal Operational Models. Journal of Marine Science and Engineering, 11(8), 1606
Mills, L., Janeiro, J., Martins, F. (2020). The Effects of Sea Level Rise on Salinity and Tidal Flooding Patterns in the Guadiana Estuary. In: Jeon HY. (Eds.): Sustainable Development of Water and Environment. ICSDWE 2020. Environmental Science and Engineering, Springer, Cham, pp. 17-30. https://doi.org/10.1007/978-3-030-45263-6_2
Mills, L., Janeiro, J., Neves, A., Martins, F. (2020). The Impact of Sea Level Rise in the Guadiana Estuary. Journal of Computational Science, 44, 101169. https://doi.org/10.1016/j.jocs.2020.101169
Moreira, D., Janeiro, J., Tosic, M. and Martins, F. (2023). A Generic Operational Tool for Early Warning Oil Spills – Application to Cartagena Bay and the Algarve Coast. INCREaSE 2023. Advances in Sustainability Science and Technology. Springer, Cham.
Pieri, G., Janeiro, J., Martins, F., Papini, O., & Reggiannini, M. (2023). MEC: A Mesoscale Events Classifier for Oceanographic Imagery. Applied Sciences, 13(3), 1565.
Reggiannini, M., Janeiro, J., Martins, F., Papini, O., and Pieri, G. (2023). Mesoscale Events Classification in Sea Surface Temperature Imagery. Machine Learning, Optimization, and Data Science. LOD 2022. Lecture Notes in Computer Science, vol 13810.
Seminário CoastWatch | Participação do Investigador João Janeiro
The Effects of Sea Level Rise on Salinity and Tidal Flooding Patterns in the Guadiana Estuary
Towards a common oil spill risk assessment framework – Adapting ISO 31000 and addressing uncertainties
Towards the development of an operational tool for oil spills management in the Algarve coast

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O CIMA é financiado pela Fundação para a Ciência e a Tecnologia (FCT) através da referência UIDP/00350/2020, com sede no Campus Universitário de Gambelas, Edifício 7, 8005-139 FARO PORTUGAL. Tel: 351 289 244 434, 351 289 800 100; E-mail: cima@ualg.pt (+ info)

O CIMA é financiado pela Fundação para a Ciência e a Tecnologia (FCT) através da referência UIDP/00350/2020, com sede no Campus Universitário de Gambelas, Edifício 7, 8005-139 FARO PORTUGAL. Tel: 351 289 244 434, 351 289 800 100; E-mail: cima@ualg.pt