The nearshore geology, based on 1:50,000 geological maps (IGME), was complemented with onshore field observations (Alves and Lourenço, 2010, Bathrellos et al., 2012 and Kokinou et al., 2013) as well as offshore information (Alves et al., 2007 and Kokinou et al., 2012). All information was digitized and included in an ARCGIS database. The location of NATURA 2000 sites were taken from public EU data (http://cdr.eionet.europa.eu/gr/eu/n2000/envujeg6w).

Oceanographic inputs for the study area considered a predominant SE–NW current direction, potentially transporting pollutants towards the southwest coast of Crete. Geographic Information Systems (GIS) were used to combine and interpret the datasets and their derivatives. Maps were created using interpolation algorithms, such as Kriging in the initial step, that compute the spatial distribution of specific geological, bathymetric, and oceanographic properties. Dasatinib chemical structure Kriging is based on statistical models (autocorrelation), variogram modelling,

creating the surface, and (optionally) exploring a variance surface. The oil-spill model used in this work is the well-established MEDSLIK (Mediterranean oil spill and floating objects predictions) in its latest operational version 5.3.7 (Lardner and Zodiatis, 1998, Lardner et al., 2006, Zodiatis et al., 2012b and Lardner, 2013). The MEDSLIK is a 3D oil-spill model that can predict the transport, fate and weathering of oil spills at any given sea location, or region, upon the availability of oceanographic and weather data. In particular, MEDSLIK has been adapted and used for real incidents, Cabozantinib cell line such as the Lebanon oil pollution crisis in summer 2006 (Lardner et al., 2006, World Bank, 2007 and Coppini et al., 2011), which is considered the largest oil spill accident to ever affect the Eastern Mediterranean. MEDSLIK has

been used operationally from 2007 until April 2012 to provide short predictions for any oil spills detected from satellite SAR (Synthetic Aperture Radar) images in the Eastern Mediterranean (Zodiatis et al., 2012b). MEDSLIK is also at the core of the Mediterranean Resveratrol Decision Support System for Marine Safety (www.medess4ms.eu; Zodiatis et al., 2012a), aiming to establish by the end of 2014 a multi model oil-spill prediction service for the entire Mediterranean. This service will use all the available operational oceanographic and atmospheric forecasting data coming from the Copernicus (former GMES-Global monitoring for environment and security) marine service and the national operational oceanographic forecasting systems, as well as data from satellite SAR images and the AIS (Automatic Identifications of Ships). It is of worth to mention that the source code of MEDSLIK has been released and well documented under MEDSLIK-II (De Dominicis et al., 2013a and De Dominicis et al., 2013b), aiming to assist at European level further developments in oil spill prediction modelling.