Coastal inundation in the north-eastern mediterranean coastal zone due to storm surge events

Low-elevation coastal areas and their populations are at risk during and after the appearance of a storm surge event. Coastal flooding as a result of storm surge events is investigated in this paper for a number of areas around the north-eastern (NE) Mediterranean coastal zone (Adriatic, Aegean and north Levantine seas). The sea level rise (SLR) due to storm surge events is examined for the period 2000?C2004. Wind data, atmospheric pressure and wave data for this period as well as in situ sea elevation measurements (from stations around the Mediterranean coasts) were used. Potential inundation zones were then identified using a 90-m horizontal resolution digital elevation model (DEM). At these zones, the sea surface elevations were calculated for the study period, using the collected data and a 2D storm surge simulation model (1/10^o??1/10^o) output, examining the sea level alteration in specific coastal areas, where in situ measurements are absent and are characterised as ??risky?? in inundation areas, due to their topography. In order to determine the level of storm track implication on major SLR incidents, the trajectories of the respective storm events were computed. The aim of this paper is to investigate the major storm surge events that appeared during the study period, identify the major ??risky?? costal regions along the north-eastern Mediterranean coast and determine their hazard level due to inundation caused by storm surge phenomena. The combination of the risk level determination of an area and the calculation of sea level alteration is an important tool in terms of predicting and protecting the coastal area from extreme meteorological incidents.     

Assessing the Vulnerability of a Deltaic Environment due to Climate Change Impact on Surface and Coastal Waters: The Case of Nestos River (Greece)

Environmental Modeling & Assessment - In deltaic areas, riverine and coastal waters interact; hence, these highly dynamic environments are particularly sensitive to climate change. This adds to...     

Simulation and multicriteria analysis in sustainable coastal planning: the case of aquaculture in Thermaikos Gulf, Greece

Mussel aquaculture in Thermaikos Gulf is facing a great challenge to tackle both institutional and production planning aspects. Local stakeholders are concerned about the future design of an efficient and equitable legal planning framework for the aquaculture, as well as about the improvement of production planning in order to optimize the total economic outcome of mussel activity in the area. The present paper focuses on the assessment of alternative production planning decisions, under the assumption that an efficient and socially acceptable institutional framework is already established. To this end, a case-specific decision-making tool is designed aiming to combine simulation modelling and multicriteria analysis. The main interactions between the environmental and cultivation conditions and the socio-economic parameters of the local aquaculture are specified according to a previous modelling effort concerning the long-line mussel farms of the study area. These interactions are then incorporated into a multicriteria model, which is formulated to handle the decision-making problem of selecting the best alternative planning decisions. This is actually a problem of evaluating and choosing the most promising policy options in terms of local society preferences. An integrated approach is followed, by means of an analytic hierarchy process, aiming at analysing the preferences of local community by determining the weights for a specific set of (sustainability) criteria. The relative importance of these criteria is determined through a questionnaire survey among the local stakeholders. The results from this application show that future planning policies should focus on production techniques, which are likely to enhance the quality of mussel production and, at the same time, to minimize the economic risk associated with the local occurrence of Harmful Algal Bloom events.