Regional Risk Assessment addressing the impacts of climate change in the coastal area of the Gulf of Gabes (Tunisia)

Sound, cost efficient management strategies in developed coastal zones can be reinforced by a thorough understanding of risks associated with the combination of anthropogenic and natural drivers of change. A Regional Risk Assessment (RRA) methodology was developed for the assessment of the potential impacts of climate change in the Tunisian coastal zone of the Gulf of Gabes. It is based on the use of Multi-Criteria Decision Analysis techniques and Geographic Information Systems and is designed to support the development and prioritization of adaptation strategies. The RRA focuses on sea-level rise and storm surge flooding impacts for human and natural systems, i.e., beaches, wetlands, urban areas, agricultural areas, and terrestrial ecosystems. Results suggest that for both of the studied climate change impacts, i.e., sea-level rise and storm surge flooding, the area potentially exposed is limited to a narrow, low elevation region adjacent to the shoreline. However, the exposed areas showed a high relative risk score, obtained by the integration of exposure and susceptibility factors. Beaches have the lowest relative risk scores, while wetlands and terrestrial ecosystems have the higher relative risk scores. The final outputs of the analysis (i.e., exposure, susceptibility, and risk maps) can support end-users in the establishment of relative priorities for intervention and in the identification of suitable areas for human settlements, infrastructure, and economic activities, thus providing a basis for coastal zoning and land-use planning.     

Numerical modeling as a tool for evaluating the renewability of geothermal resources: the case study of the Euganean Geothermal System (NE Italy)

Environmental Geochemistry and Health - Renewable natural resources are strategic for reducing greenhouse gas emissions and the human footprint. The renewability of these resources is a crucial...     

Assessing coastal vulnerability to climate change: comparing segmentation at global and regional scales

Recent concerns about potential climate-change effects on coastal systems require the application of vulnerability assessment tools in order to define suitable adaptation strategies and improve coastal zone management effectiveness. In fact, while various research efforts were devoted to evaluate coastal vulnerability to climate change on a national to global level, fewer applications were carried out so far to develop more comprehensive and site-specific vulnerability assessments suitable to plan possible adaptation measures at the regional scale. In this respect, specific indicators are needed to address climate-change-related issues for coastal zones and to identify vulnerable areas at the regional level. Two sets of coastal vulnerability indicators were selected, one for regional and one for global studies, respectively, concerning the same features of coastal systems, including topography and slope, geomorphological characteristics, presence and distribution of wetlands and vegetation cover, density of coastal population and number of coastal inhabitants. The proposed set of indicators for the regional scale was chosen taking into account the availability of environmental and territorial data for the whole coastal area of the Veneto region and was based on site-specific datasets characterized by a spatial resolution appropriate for a regional analysis. Moreover, a GIS-based segmentation procedure was applied to divide the coastline into linear segments, homogeneous in terms of vulnerability to climate change and sea-level rise at the regional scale. This approach allowed to divide the Veneto shoreline into 140 segments with an average length of about 1 km, while the global scale approach identified four coastal segments with an average length of about 66 km. The performed comparison indicated how the more detailed approach adopted at the regional scale is essential to understand and manage the complexities of the specific study area. In fact, the 25-m DEM employed at the regional scale provided a more accurate differentiation of the coastal area's elevation and thus of coastal susceptibility to the inundation risks, compared to the 1-km DEM used at the global level. Moreover, at the regional level the use of a 1:20,000 geomorphological map allowed to differentiate the unique landform class detected at the global level (e.g., fluvial plain) in a variety of more detailed coastal typologies (e.g., open coast eroding sandy shores backed by bedrock) characterized by a different sensitivity to climate change and sea-level rise. Accordingly, the information provided by regional indicators can support decision-makers in improving the management of coastal resources by considering the potential impacts of climate change and in the definition of appropriate actions to reduce inundation risks, to avoid the potential loss of valuable wetlands and vegetation and to plan the nourishment of sandy beaches subject to erosion processes.