Sensitivity analysis for a participatory approach to enhance the climate resilience of Venice, Italy
2023, Risk Analysis: An International Journal, doi: 10.1111/risa.14258
Filtering by author: Torresan Silvia
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
Invited perspectives: A research agenda towards disaster risk management pathways in multi-(hazard-)risk assessment
Ward P. J., Daniell J., Duncan M., Dunne A., Hananel C., Hochrainer-Stigler S., Tijssen A., Torresan S., Ciurean R., Gill J. C., Sillmann J., Couasnon A., Koks E., Padrón-Fumero N., Tatman S., Tronstad Lund M., Adesiyun A., Aerts J. C. J. H., Alabaster A., Bulder B., Campillo Torres C., Critto A., Hernández-Martín R., Machado M., Mysiak J., Orth R., Palomino Antolín I., Petrescu E.-C., Reichstein M., Tiggeloven T., Van Loon A. F., Pham H. V. , and de Ruiter M. C.
2022, Natural Hazards and Earth System Sciences (NHESS), 22, 1487–1497, doi: 10.5194/nhess-22-1487-2022
A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis
Harris R., Furlan E., Pham H. V. , Torresan S., Mysiak J., Critto A.
2022, Climate Risk Management, Volume 35, 2022, 100410, doi: 10.1016/j.crm.2022.100410
Stochastic system dynamics modelling for climate change water scarcity assessment of a reservoir in the Italian Alps
Terzi S., Sušnik J., Schneiderbauer S., Torresan S., Critto A.
2021, Nat. Hazards Earth Syst. Sci, volume 21, pages 3519–3537, doi: 10.5194/nhess-21-3519-2021
Prioritization of resilience initiatives for climate-related disasters in the Metropolitan City of Venice
Bonato M., Sambo B., Sperotto A., Lambert J.H., Linkov I., Critto A., Torresan S., Marcomini A.
2021, Risk Analysis: An International Journal, Risk Analysis, Vol. 0, No. 0, 2021, doi: 10.1111/risa.13823
Exploring machine learning potential for climate change risk assessment
Zennaro F., Furlan E., Simeoni C. , Torresan S., Aslan S., Critto A., Marcomini A.
2021, Earth-Science Reviews, Volume 220, September 2021, 103752, doi: 10.1016/j.earscirev.2021.103752