Framework for multirisk climate scenarios across system receptors with application to the Metropolitan City of Venice

Author:

Sambo Beatrice12,Bonato Marta13,Sperotto Anna14,Torresan Silvia2,Furlan Elisa2,Lambert James H.5,Linkov Igor67,Critto Andrea12

Affiliation:

1. Department of Environmental Sciences, Informatics and Statistics University of Ca’ Foscari Venice Italy

2. RAAS division Fondazione Centro Euro‐Mediterraneo sui Cambiamenti Climatici (Fondazione CMCC) Lecce Italy

3. Department Computational Landscape Ecology UFZ ‐ Helmholtz‐Centre for Environmental Research Leipzig Germany

4. Basque Centre for Climate Change (BC3) Scientific Campus of the University of the Basque Country Biscay Spain

5. Center for Risk Management of Engineering Systems University of Virginia Charlottesville Virginia USA

6. Engineer Research and Development Center U.S. Army Corps of Engineers Concord Massachusetts USA

7. Carnegie Mellon University Pittsburgh Pennsylvania USA

Abstract

AbstractClimate change influences the frequency of extreme events that affect both human and natural systems. It requires systemic climate change adaptation to address the complexity of risks across multiple domains and tackle the uncertainties of future scenarios. This paper introduces a multirisk analysis of climate hazard, exposure, vulnerability, and risk severity, specifically designed to hotspot geographic locations and prioritize system receptors that are affected by climate‐related extremes. The analysis is demonstrated for the Metropolitan City of Venice. Representative scenarios (RCP4.5 and RCP8.5) of climate threats (i.e., storm surges, pluvial flood, heat waves, and drought) are selected and represented by projections of Regional Climate Models for a 30‐year period (2021–2050). A sample of results is as follows. First, an increase in the risk is largely due to drought, pluvial flood, and storm surge, depending on the areas of interest, with the overall situation worsening under the RCP8.5 scenario. Second, particular locations have colocated vulnerable receptors at higher risk, concentrated in the urban centers (e.g., housing, railways, roads) and along the coast (e.g., beaches, wetlands, primary sector). Third, risk communication of potential environmental and socio‐economic losses via the multirisk maps is useful to stakeholders and public administration. Fourth, the multirisk maps recommend priorities for future investigation and risk management, such as collection of sensor data, elaboration of mitigations, and adaptation plans at hotspot locations.

Funder

Ministero degli Affari Esteri e della Cooperazione Internazionale

Publisher

Wiley

Subject

Physiology (medical),Safety, Risk, Reliability and Quality

Reference75 articles.

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