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Events & Probabilities

These datasets represent a systematic collection of harmonized data concerning geological events. GIS layers display data on the Portal at a resolution of 1:100,000 and 1:250,000 scale concerning earthquakes, submarine landslides, volcanoes, tsunamis, fluid emissions and Quaternary tectonics, subdivided according to their geometry (polygons, points and lines). They provide information on the type of events which have taken place in the past and might potentially occur again. Where available details include dimensions, state of activity, morphological type and lithology.

The elaboration of guidelines to compile GIS layers was aimed at identifying parameters to be used to thoroughly characterize each event. Particular attention has been devoted to the definition of the Attribute tables in order to achieve the best degree of harmonization and standardization complying with the European INSPIRE Directive.

Shapefiles can be downloaded from the Portal and used locally in order to browse through the details of the different features, consulting their Attribute tables. Information contained therein provide an inventory of available data which can be fruitfully applied in the management of coastal areas and support planning of further surveys. By combining the diverse information contained in the different layers, it might be possible to elaborate additional thematic maps which could support further research. Moreover, they potentially represent a useful tool to increase awareness of the hazards which might affect coastal areas.

Data sources include detailed information held by the Project Partners plus any further publicly available third-party data (last update Mar. 2019).

All products delivered by Partners have been collated, verified and validated in order to achieve the best degree of harmonization and INSPIRE compliance.

Each layer is complemented by an Attribute table which provides, in addition to the location, type of geological event and its references (mandatory), further information for each occurrence (where available).

Since features considered within WP6 have a scattered distribution, the additional layer “Geological events distribution” provides basic information on areas of occurrences, no occurrences and no data for the marine areas surrounding European countries.

The landslide susceptibility map

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A map of submarine landslide susceptibility in European seas was developed, starting from the points, lines, and polygons of the landslide datasets in this portal, using the maximum entropy model (MaxEnt) and the bathymetry and slope derived from the EMODnet Bathymetry portal (

Assuming that the frequency of occurrence of submarine landslides at a given location does not vary over time, it is possible to state that if a landslide has occurred at that point, then it is likely that the event will occur again in a more or less distant future. According to this assumption, the susceptibility map, obtained from the distribution of past landslides, describes the susceptibility of the seabed to new landslides.Susceptibility indicates the probability that landslides may occur in that portion of the seafloor over time, but does not measure when or how frequently an event may occur, nor its possible size.

High susceptibility values indicate a high probability of landslides. The map clearly distinguishes areas with the highest likelihood of landslides from the majority of the seafloors that are classified as low susceptibility.

The susceptibility map elaborated here cannot be compared to the accuracy of local studies based on detailed investigations of individual landslide phenomena, but for the first time, it allows to have an overall and uniform view on the distribution of landslides susceptibility in European seas.

For a detailed description of the model and method used to generate the submarine landslide susceptibility map refer to: “Submarine landslides: mapping the susceptibility in European seas”, C. Innocenti, L. Battaglini, S. D’Angelo and A. Fiorentino, Quarterly Journal of Engineering Geology and Hydrogeology, 54, qjegh2020-027, 23 October 2020,