Articoli & papers Archives

A machine learning approach to evaluate coastal risks related to extreme weather events in the veneto region (Italy)

Dal Barco M. K. , Maraschini M., Ferrario D., Nguyen N. D. , Torresan S., Vascon S.; Critto A.
2024, International Journal of Disaster Risk Reduction, Volume 108 - Article number 104526, doi: 10.1016/j.ijdrr.2024.104526

Challenges in assessing and managing multi-hazard risks: A European stakeholders perspective

Šakić Trogrlić R.; Reiter K.; Ciurean R.L.; Gottardo S., Torresan S., Daloz A.S.; Ma L.; Padrón Fumero N.; Tatman S.; Hochrainer-Stigler S.; de Ruiter M.C.; Schlumberger J.; Harris R.; Garcia-Gonzalez S.; García-Vaquero M.; Arévalo T.L.F.; Hernandez-Martin R.; Mendoza-Jimenez J.; Ferrario D., Geurts D.; Stuparu D.; Tiggeloven T.; Duncan M.J.; Ward P.J.
2024, Environmental Science and Policy, Volume 157 - July 2024 - Article number 103774, doi: 10.1016/j.envsci.2024.103774

Bayesian Network Analysis for Shoreline Dynamics, Coastal Water Quality, and Their Related Risks in the Venice Littoral Zone, Italy

Pham H. V. , Dal Barco M. K. , Shahvar M.P., Furlan E., Critto A., Torresan S.
2024, Journal of Marine Science and Engineering, 12(1), 139, doi: 10.3390/jmse12010139

Multi-scenario analysis in the Apulia shoreline: A multi-tiers analytical framework for the combined evaluation and management of coastal erosion and water quality risks

Dal Barco M. K. , Furlan E., Pham H. V. , Torresan S., Zachopoulos K., Kokkos N., Sylaios G., Critto A.
2024, Environmental Science and Policy, Volume 153, 103665, ISSN 1462-9011, doi: 10.1016/j.envsci.2023.103665

Multi-model chain for climate change scenario analysis to support coastal erosion and water quality risk management for the Metropolitan city of Venice

Pham H. V. , Dal Barco M. K. , Cadau M., Harris R., Furlan E., Torresan S., Rubinetti S., Zanchettin D., Rubino A., Kuznetsov I., Barbariol F., Benetazzo A., Sclavo M., Critto A.
2023, Science of the Total Environment, Volume 904, 15 December 2023, 166310, doi: 10.1016/j.scitotenv.2023.166310

Sensitivity analysis for a participatory approach to enhance the climate resilience of Venice, Italy

Sambo B., Sano M., Sperotto A., Zanetti M., Torresan S., Lambert J.H., Linkov I., Critto A.
2023, Risk Analysis: An International Journal, doi: 10.1111/risa.14258

Combining remote sensing analysis with machine learning to evaluate short-term coastal evolution trend in the shoreline of Venice

Fogarin S., Zanetti M.,Dal Barco M. K. , Zennaro F., Furlan E., Torresan S., Pham H. V. , Critto A.
2022, Science of the Total Environment, Volume 859, Part 1, 10 February 2023, 160293, doi: 10.1016/j.scitotenv.2022.160293

Barriers and enablers for upscaling coastal restoration

Sánchez Arcilla A., Cáceres I., LeRoux X., Hinkel J., Schuerch M,, J. Nicholls R., del Mar Otero M., Staneva J., de Vries M., Pernice U., Briere C., Caiola N., Gracia V., Ibáñez C.,Torresan S.
2022, Nature-Based Solutions, "Special Issue: “ Scaling of Nature Based Solutionhs for maximum benefits”", doi: 10.1016/j.nbsj.2022.100032

Spatio-temporal cross-validation to predict pluvial flood events in the Metropolitan City of Venice

Zanetti M., Allegri E., Torresan S., Critto A.
2022, Journal of Hydrology, doi: 10.1016/j.jhydrol.2022.128150

Ecosystem services at risk in Italy from coastal inundation under extreme sea level scenarios up to 2050: a spatially resolved approach supporting climate change adaptation

Furlan E., Derepasko D., Torresan S., Pham H. V. , Fogarin S., Critto A.
2022, Integrated Environmental Assessment and Management, doi: 10.1002/ieam.4620

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