Edificio Porta dell'Innovazione - Piano 2 - via della Libertà 12 - 30175 Venezia Marghera (VE), Italy
Elisa Furlan, Ph.D. in Environmental Science at the University Ca’ Foscari Venice, is Junior Scientist in climate risk, impact and vulnerability assessment at the Euro-Mediterranean Center on Climate Change. Her research focuses on the development and application of multidisciplinary risk assessment methodologies for the evaluation of the interactions, and possible cumulative effects, among different climate-driven in combination with local/global anthropogenic factors affecting coastal and marine areas. She has been involved in several European projects (TRITON, SAVEMEDCOASTS, PERSEUS, OrientGate, CLIMRUN, PEGASO) contributing to the design and application of risk- based approaches for the assessment of potential impacts arising from future climate change scenarios and management measures. With a joint M.Sc. degree in Environmental planning and policies with the University of Architecture of Venice (IUAV) and the Universitat Autònoma de Barcelona (UAB), she has more than 15 years of experience in the development and implementation of Geographic Information System (GIS), integrating multi-criteria decision analysis methodologies (MCDA) for the assessment and management of environmental issues, as well as the design and selection of planning options and adaptation strategies.
ULTIME PUBBLICAZIONI
- A conceptual framework to help choose appropriate blue nature-based solutions
- Bayesian Network Analysis for Shoreline Dynamics, Coastal Water Quality, and Their Related Risks in the Venice Littoral Zone, Italy
- 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
- Multi-model chain for climate change scenario analysis to support coastal erosion and water quality risk management for the Metropolitan city of Venice
- Venice lagoon chlorophyll-a evaluation under climate change conditions: A hybrid water quality machine learning and biogeochemical-based framework
- Evaluating the combined effect of climate and anthropogenic stressors on marine coastal ecosystems: Insights from a systematic review of cumulative impact assessment approaches
- Embracing Nature-based Solutions to promote resilient marine and coastal ecosystems
- Combining remote sensing analysis with machine learning to evaluate short-term coastal evolution trend in the shoreline of Venice
- 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
- 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