Published June 2021 | Version v1
Journal article

Development of a Multi-Dimensional Coastal Vulnerability Index: Assessing vulnerability to inundation scenarios in the Italian coast

  • 1. Department of Environmental Sciences, Informatics and Statistic, University Ca' Foscari Venice, I-30170 Venice (Italy)
  • 2. Fondazione Centro-Euro-Mediterraneo sui Cambiamenti Climatici, I-73100 Lecce (Italy)
  • 3. Division of Models and Technology for Risk Reduction, ENEA Centro Ricerche Bologna, Via Martiri di Monte Sole 4, Bologna (Italy)

Description

Highlights: • We assess the vulnerability of Italian coastal provinces to future inundation scenarios. • A dynamic multi-dimensional-CVI integrates climatic, physical, environmental and socio-economic indicators. • Most vulnerable provinces locate in the North Adriatic coast and in Southern Italy. • Vulnerability could increase due to climate, environmental and economic future conditions. • Results can inform integrated coastal zone management and adaptation planning. Understanding how natural and human-induced drivers will contribute to rising vulnerability and risks in coastal areas requires a broader use of future projections capturing the spatio-temporal dynamics which drive changes in the different vulnerability dimensions, including the socio-demographic and economic spheres. To go beyond the traditional approaches for coastal vulnerability appraisal, a Multi-dimensional Coastal Vulnerability Index (MDim-CVI) - integrating a composite set of physical, environmental and socio-economic indicators - is proposed to rank Italian coastal provinces according to their relative vulnerability to extreme sea level scenarios, in 2050. Specifically, information on hazard-prone areas, potentially inundated by sea level rise and extreme water levels (under the RCP8.5 climate scenario) is combined with indicators of geomorphic vulnerability (e.g. elevation, distance from coastline, shoreline evolution trend) exposure, and adaptive capacity (e.g. sensible segments of the population, GDP, land use patterns). The methodology is applied to a reference timeframe, representing current climate and land use condition, and a future scenario for the year 2050, integrating both climate projections and data simulating potential evolution of the environmental and socio-economic systems. Results show that most vulnerable provinces are located in the North Adriatic, the Gargano area and other Southern parts of Italy, mostly due to the very high vulnerability scores reported by climate-related indicators (e.g. extreme sea level). The number of vulnerable provinces as well as the magnitude of vulnerability is expected to increase in the future due to the worsening of climate, environmental, and socio-economic conditions (e.g. land use variations and increase of the elderly population). These outcomes can timely inform integrated coastal zone management and support climate adaptation planning.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2020.144650

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2020.144650;
PII
S004896972038181X;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
772
Journal Page Range
vp.
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54058007
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
GEOGRAPHIC INFORMATION SYSTEMS; HAZARDS; LAND USE; SEA LEVEL; SHORES
Descriptors DEC
COASTAL REGIONS; INFORMATION SYSTEMS; LEVELS

Optional Information

Copyright
Copyright (c) 2021 Elsevier B.V. All rights reserved.