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: Critto Andrea
Venice lagoon chlorophyll-a evaluation under climate change conditions: A hybrid water quality machine learning and biogeochemical-based framework
Zennaro F., Furlan E., D. Canu, L. Aveytua Alcazar, G. Rosati, C. Solidoro, S. Aslan, Critto A.
2023, Ecological Indicator, Volume 157, 15 December 2023, 111245, doi: 10.1016/j.ecolind.2023.111245
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
Extensive study of recurrent neural network architectures with a multivariate approach for water quality assessment in complex coastal lagoon environments: A case study on the Venice Lagoon
Aslan S., Zennaro F., Furlan E., Critto A.
2022, Environmental Modelling & Software, doi: 10.1016/j.envsoft.2022.105403
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