Affiliation:
1. Department of Environmental Science, Informatic and Statistic University of Ca’ Foscari Venice Italy
2. Fondazione Centro Euro‐Mediterraneo sui Cambiamenti Climatici (Fondazione CMCC) Lecce Italy
3. Basque Centre for Climate Change (BC3) Scientific Campus of the University of the Basque Country Leioa Spain
4. Center for Risk Management of Engineering Systems University of Virginia Charlottesville Virginia USA
5. Engineer Research and Development Center, U.S. Army Corps of Engineers Concord Massachusetts USA
6. Carnegie Mellon University Pittsburgh Pennsylvania USA
Abstract
AbstractIncreases in the magnitudes and frequencies of climate‐related extreme events are redistributing risk across coastal systems, including their environmental, economic, and social components. Consequently, stakeholders (SHs) are faced with long‐term challenges and complex information when managing assets, services, and uses of the coast. In this context, SH engagement is a key step for risk management and in the preparation of resilience plans to respond and adapt to climate change. This paper develops a participatory method to identify and prioritize a set of risk measures, combining multi‐criteria analysis with sensitivity analysis. The process involved local and regional authorities of the Veneto region testing the method, including national, regional, and local government, catchment officers, research organizations, natural parks managers and Non‐Governmental Organizations (NGOs). SHs identified and ranked a range of adaptation measures to increase climate resilience, with a focus on coastal risk in the Venice lagoon. Results demonstrate that the sensitivity analysis provides useful information on how different sectors of expertise can influence the ranking of the identified risk management measures, highlighting the value of investigating the preferences or priorities of different SH groups within the definition of adaptation plans.
Funder
Ministero degli Affari Esteri e della Cooperazione Internazionale
Subject
Physiology (medical),Safety, Risk, Reliability and Quality