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Article

Relative Sea-Level Rise and Potential Submersion Risk for 2100 on 16 Coastal Plains of the Mediterranean Sea

by
Fabrizio Antonioli
1,2,*,
Giovanni De Falco
3,
Valeria Lo Presti
4,
Lorenzo Moretti
2,
Giovanni Scardino
5,
Marco Anzidei
6,
Davide Bonaldo
7,
Sandro Carniel
8,
Gabriele Leoni
9,
Stefano Furlani
10,
Antonella Marsico
5,
Marcello Petitta
2,
Giovanni Randazzo
11,
Giovanni Scicchitano
12 and
Giuseppe Mastronuzzi
5
1
Istituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, Italy
2
ENEA, 40129 Bologna, 00123 Rome, Italy
3
Institute of Anthropic Impacts and Sustainability in Marine Environment—IAS CNR, 09170 Oristano, Italy
4
Studio Tecnico, 90142 Palermo, Italy
5
Department of Earth and Geoenvironmental Sciences, University of Bari, 70125 Bari, Italy
6
National Institute of Geopysics and Volcanomology, 00143 Rome, Italy
7
National Research Council, Institute of Marine Sciences (CNR-ISMAR), 30122 Venice, Italy
8
National Research Council, Institute of Polar Science (CNR-ISP), 30122 Venice, Italy
9
ISPRA, 00144 Roma, Italy
10
Department of Mathematics and Geosciences, University of Trieste, 34125 Trieste, Italy
11
Department of Mathematics, Pysics and Geosciences, MIFT, University of Messina, 98166 Messina, Italy
12
Studio Geologi Associati TST, 95129 Catania, Italy
 
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*
Author to whom correspondence should be addressed.
Water 2020, 12(8), 2173; https://doi.org/10.3390/w12082173
Submission received: 5 June 2020 / Revised: 10 July 2020 / Accepted: 29 July 2020 / Published: 1 August 2020
(This article belongs to the Special Issue Relative Sea-Level Changes and their Impact on Coastal Zones)
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Abstract

:
The coasts of the Mediterranean Sea are dynamic habitats in which human activities have been conducted for centuries and which feature micro-tidal environments with about 0.40 m of range. For this reason, human settlements are still concentrated along a narrow coastline strip, where any change in the sea level and coastal dynamics may impact anthropic activities. In the frame of the RITMARE and the Copernicus Projects, we analyzed light detection and ranging (LiDAR) and Copernicus Earth Observation data to provide estimates of potential marine submersion for 2100 for 16 small-sized coastal plains located in the Italian peninsula and four Mediterranean countries (France, Spain, Tunisia, Cyprus) all characterized by different geological, tectonic and morphological features. The objective of this multidisciplinary study is to provide the first maps of sea-level rise scenarios for 2100 for the IPCC RCP 8.5 and Rahmstorf (2007) projections for the above affected coastal zones, which are the locations of touristic resorts, railways, airports and heritage sites. On the basis of our model (eustatic projection for 2100, glaciohydrostasy values and tectonic vertical movement), we provide 16 high-definition submersion maps. We estimated a potential loss of land for the above areas of between about 148 km2 (IPCC-RCP8.5 scenario) and 192 km2 (Rahmstorf scenario), along a coastline length of about 400 km.

1. Introduction

Sea-level rise is one of the major consequences of climate change which affects global communities living along coasts. This phenomenon is due to planetary-scale processes that are contributing to the current sea-level trend. The main responsible factors are global warming, which is driving the melting of ice and the thermal expansion of the oceans and finally the geological vertical movements of the land along the coastal zones, which may accelerate (or decrease) the submersion of low-elevated coasts.
Instrumental and observational data show that over the past two centuries, the global sea level has risen at faster rates than in the last two millennia [1,2,3], with values up to 3.2 mm/year over the last decades [4,5,6,7]. Recently, Toimil et al. [8] delineated the requirements for a scientific approach for future projections of shoreline change, which should take into account changes in the mean sea level, storm surges, coastal erosion and other additional factors, with the aim of reducing uncertainty in shoreline change estimates.
This rise is exposing many coastal areas around the world to coastal hazards and marine flooding. Sea-level rise and storm surge has been the indirect cause of dramatic effects in conjunction with extreme storm surge events, such as in 1953 for the coast of Netherlands (1953) or more recently in New Jersey (2012, Hurricane Sandy), Louisiana (2015, Hurricane Katrina), Florida (2016, Hurricane Matthew), Louisiana and Texas (2017, Hurricane Harvey).
In the Mediterranean basin, the sea level is rising at 1.8 mm/year, as inferred from the analysis of tidal gauge data for the last century. In 2100, the sea level could be 500–1400 mm higher than today due to the melting of continental ice and thermal expansion/steric effects as a consequence of global warming.
In this scenario, the coastal low lands will be more prone to marine flooding during extreme sea events, threating many highly populated areas of the Mediterranean coasts.
In the last two decades, many studies have focused on sea-level rise and its effects along the continental (i.e., Gornitz et al. [9] for New York; Walsh et al. [10] for Australia; Miller et al. [11], Ezer and Atkinson [12] for USA; Rehman et al. [13] for India) and insular coasts (i.e., Wadey et al. [14] for Maldives) highlighting the relevant exposure to coastal hazard for lowlands and small islands. These studies are relevant in the Mediterranean, where about 75% of the local population lives in coastal areas [15] and is therefore exposed to the multiple effects of sea-level rise. Although several studies have attempted to predict global sea-level rise for 2100 [2,16,17,18,19,20] or even until 2200 [21], only in a few cases have sea-level rise projections been used in combination with high-resolution digital terrain models (DTM) and with geological data to evaluate the geomorphological landscape changes at different time scales, to draw detailed maps of the expected coastal submersion. In the Mediterranean, many coasts are expected to be flooded as a consequence of sea-level rise, storm surge and tsunamis, as inferred from seismic, geodetic, geological and archaeological evidence ([22,23], www.savemedcoasts.eu [24]). In this region, rapid urbanization started after the middle of the 19th century, which led to the uncontrolled expansion of coastal settlements; these settlements are now exposed to increasing coastal hazards. In addition, the coasts, which are often characterized by cultural and natural heritage sites, host important urban and industrial installations and continuously growing tourist activities.
An integrated approach to the analysis of the impacts of climate change in coastal areas is crucial for a thorough projection of coastal hazards and for the identification of response strategies and priorities. To this end, in the frame of the RITMARE project [25], the Adriatic Sea (in the north-eastern Mediterranean, Figure 1) has been considered a test site for a multidisciplinary study on coastal vulnerability to sea-level rise and erosion. This activity, funded by the Italian Ministry of University and Research, provided a proof-of-concept for how different observational and numerical modelling tools can be combined in the characterization of the physical drivers of coastal processes in a changing climate perspective. As emerged from the outcomes of RITMARE, the spatial modulation of interplaying geological/sedimentological and meteo-oceanographic processes in such complex systems puts serious limitations on the applicability of global and regional climate change projections for the assessment of the local features of coastal vulnerability. A typical example is given by the possible impacts of storm surge hazards and erosion in future scenarios. Notwithstanding a general tendency toward a weaker storminess at the Mediterranean scale, the increasing sea level is expected to supersede the decrease of sea state severity [26,27]. In addition, local intensifications of the wave climate are possible in response to the northbound migration of the Mediterranean cyclone tracks, contributing to the further enhancement of the potential coastal hazard in coastal regions [28].
In the frame of the C3S European Tourism CLIMTOUR project (a sectorial climate service in the field of tourism which engages and interacts with a number of stakeholders across the six sectors of agriculture, tourism, insurance, coasts, infrastructure and health to establish an inventory of existing policy needs and user requirements in terms of climate data and climate impact indicators), researchers have been investigating the potential scenarios of sea-level rise in specific coasts of the Mediterranean European countries. Moreover, in the framework of the “Integrated Sea Storm Management Strategies” project (IWS, I-STORMS Web System; https://iws.seastorms.eu [34,35]) by the National Research Council of Italy Marine Sciences Institute (CNR-ISMAR), the Agency for Prevention, Environment and Energy of Emilia-Romagna, the Hydro-Meteo-Climate Service (Arpae-SIMC), and Apulia Region Civil Protection, some other areas have been investigated along the coasts of Apulia in Southern Italy.
In this study, sea-level projections for 2100 estimated by the two global models IPCC-AR5 [36] and Rahmstorf [17] were used according to the method reported in Antonioli et al. [29] and Marsico et al. [30]. The proposed scenarios for the selected coastal plains include the contribution of vertical land movements (tectonics and isostasy) with rates based on the interpretation of geological data or modeling analysis. Our maps show the maximum sea-level height expected for 2100 for the above reference climatic projections and the corresponding flooded area. We remark that our analysis does not take into account hydrodynamics models, and the contribution of sediment flow from rivers, coastal erosion and possible anthropic defenses may change the estimated extension of the flooded areas proposed in this study. This work provides additional scenarios with respect to previous studies [23,29,31,33,37,38,39,40,41,42,43,44,45,46] focusing on new areas which are at risk of marine submersion over the next decades.

2. Material and Method

This study is based on the same method described in [29] and [30], to ensure homogeneity and enable a comparison with previous results, but extending the study toward other Mediterranean countries, besides Italy.
Sea-level change along the Mediterranean coast is the sum of eustatic, glaciohydro-isostatic, and tectonic factors. The first is time dependent while the latter two also vary with location, consists to sum the different components of sea level rise in the following main steps: (a) the IPCC-AR5 projections (RCP-8.5 upper limits scenarios) or Rahmstorf 2007; (b) the long term land vertical movements from geological data; (c) the glacio-hydro-isostatic movement (GIA); (d) by combining eustatic, isostatic and tectonic data projected up to 2100, we provided the expected sea-levels at 2100 for the investigated coastal areas and the expected inland extent of related marine flooding.
The choice of the study areas was decided by several different factors: (i) tectonics (stable areas only); (ii) exposure, (iii) max fetch, (iv) sedimentological material, (v) wave energy flux, (vi) bedrock and (vii) geomorphological features.
For the realization of the 16 maps (Figure 1 for geographic location, Figures 2–9) we preferred to use the global projections released by the IPCC AR5 in 2013, with the aim of comparing the new results with those previously obtained by [29] and [30], using the same parameters and models. Particularly the upper limit of the likely range of IPCC AR-5 RCP 8.5 [36] and Rahmstorf [17] scenarios (Figures 2–9 and Figure S1). The latter are in good agreement with the most recent global projections, once the uncertainties on the estimates are considered in the analysis (Table 1 and references therein).
Those values have been used in our maps to evaluate the uncertainties of the relative sea-level rise.
Most of the studied areas are well covered by EO data that were retrieved from the Internet from different agencies (Table 2) and analyzed through Geographic Information System software to obtain information on surface features and elements exposed to sea-level rise.
For the relative sea level rise case studies, we used the IPCC global mean sea level rise estimation. Indeed, the local data for the Mediterranean Sea are not accurate for several reasons. First of all, most of the global models do not consider the exchange of mass and energy across the semi-enclosed basin of the Mediterranean Sea. Therefore, we decided to not estimate the uncertainties assuming to follow the upper limit of the likely range of the RCP8.5.
Most of the studied areas are well covered by geographic information, as GIS layers, describing topographical features, morphology and exposed elements. This availability led to the generation of a geographical database and the use of GIS tools for all study phases. GIS tools enable the use of original data, thus preventing any loss of detail during the elaboration. In addition, a GIS archive allows the easy update of the resulting maps depending either on the environmental changes or on the refinement of the sea-level rise estimates.
The DTMs used for the 16 coastal areas (Table 2 and Table 3) have different resolutions. The realization of the maps of (1) Fertilia, (2) Valledoria, (3) Orosei, (7) Sangro, (8) Pescara, (9) Lesina, (10) Brindisi, (12) Granelli and (14) Stagnone di Marsala were also supported by in situ surveys including low-elevation aerial views through unmanned aerial vehicle (UAV) systems and some geomorphological observations, such as the measurements of dune size, and by checking for drainage and protection systems capable of preventing or reducing the ongoing submersion (Figures 2–9; Figure S1 and Video S1).

2.1. Vertical Land Movements

Because the relative sea-level changes along the coastal zones also depend on the rates of the vertical land movements caused by tectonics and GIA, these geological processes were considered in the analysis, including natural ground compaction and GIA, as in Lambeck et al. [47]. To this end, we used the GIA values (Table 3) from [47] which have rates between 0.2 and 0.65 mm/year and assumed that they will be constant for the next 500 years. The Lambeck et al., 2011, is a model tested in the field of stable Mediterranean areas comparing radiocarbon ages of fossil shells sampled on cores crossing fossil lagoon areas (minimum slr error).
To account for vertical tectonics, we have used as reference the tectonic rates reported in Antonioli et al. [29] which are representative of a calibrated balance between the long-term tectonic signal (i.e., last Interglacial, [48,49]), the short-term (i.e., mid- to late Holocene, [50]; additional material of Lambeck et al. [47]) and instrumental data [22]. In addition to these, we used the upgraded Mediterranean database for the last 125 ka BP of Antonioli et al. [51], (see Section 3.1, Data). Finally, the GIA and tectonic values were included in the analysis and added to the sea-level rise projections to obtain the values of relative sea-level change expected for 2100 at each site. Vertical tectonic rates were calculated using the MIS 5.5 highstand (125 ka BP) altitude, considering the eustatic altitude in the Mediterranean Sea of 6 ± 2 m.

2.2. Digital Terrain Models

To map the sea-level rise scenarios, a data set of high-resolution topography based on light detection and ranging (LiDAR) observations produced by different agencies from 2008 to 2019 was used (Table 2). The extracted Digital Terrain Models (DTM) were obtained at variable spatial resolutions depending on the data set and in the range at about 20 cm of mean vertical resolution [52].
The details of the characteristics of the DTM are described in Table 3 and in the maps available in the online supporting material. The details regarding the link to the website from which we downloaded or requested the digital data are also described in the online supporting material. DTMs were mapped and analyzed by Global Mapper Software® (www.globalmapper.com [53]) (Version 21, Hallowell, ME, USA) to create 3D high-resolution maps of the investigated areas, on which the position of the present-day coastline and its potential position in 2100 as a result of relative sea-level rise are shown by contour lines. The DTMs with contour lines and submerged surfaces were represented using the color shaded option and exported as georeferenced images through GIS composer.
Since high-resolution LiDAR data were not available for all the investigated areas, the DTMs for Larnaka (Cyprus), Bastia (France) and Kerkennah Islands (Tunisia), were extracted from Earth Observation data retrieved at https://land.copernicus.eu/ [54]. The technical specifications of data sources and DTMs are shown in Table 3 and discussed in Section 4.
To link the land surface to the seafloor along the coasts, the bathymetric data were obtained from GEBCO (www.gebco.net) [55] which includes regional low-resolution grids) and the European Marine Observation and Data Network (EMODnet, http://portal.emodnet-bathymetry.eu/ [55]). Marine and terrestrial topographic data were co-registered and georeferenced into the same UTM-WGS84 (Zones 30, 31, 32 and 33, 36) reference frame, and the shoreline position was determined relative to the epoch of the surveys for each area.
The choice of study areas was dictated by several factors. The first factor was the tectonic activity; in fact, we chose only tectonically stable areas to eliminate a variable (with consequent error) in the sea-level change equation. As is known for relative sea-level change, the combined results of eustasy, glacio-hydro-isostasy and vertical tectonic motion exhibit considerable spatial variability; the first of these is time-dependent, while the latter two vary with location. As shown in Table 4, the coastal areas chosen for our research have very different exposures, maximum fetch, sedimentological material, wave energy flux, and kinds of geomorphology; our choice was precisely due to their great heterogeneity. A common characteristic of all the areas chosen was that of not having vertical tectonic movements.

3. Results

The 16 maps described in this section (Figures 1–9 and Figure S1, Table 3) show the expected submerged area for 2100 for the selected areas of Italy, Spain, France, Tunisia and Cyprus. For the sites investigated in the CLIMTOUR Project, 324.7 km of coast with a potential submerged area of 176.2 km2 was estimated, while from the RITMARE Italian National Project and I-STORMS data set, 68.1 lm of at-risk coast with possible submerged areas of 13.8 km2 and 9.9 km, and 1 km2 for Brindisi (I-STORMS), were estimated, respectively.

3.1. Geographic Descripion of the Areas at Potential Risk of Submersion

In addition to the values reported in Table 3 for the studied areas (Figure 1), we provide some information on the infrastructures located in the selected areas, such as roads and transport networks, airports, and humid protected areas, which are prone to be flooded in 2100 (Figures 2–9 and Figure S1). In situ inspections were carried out at Fertilia, Valledoria, Orosei, Sangro, Pescara, Lesina, Brindisi, Granelli and Stagnone di Marsala (Video S1).

3.1.1. Fertilia

Map 1: This zone is one of the most important coastal wetlands in Sardinia and is locally called “Il Calich”. It faces the bay of Alghero, extending from its neighbors to the town of Fertilia, and is connected to the sea by a channel Figure 2. The coast is characterized by very well-preserved coastal dunes up to 7 m high. The presence of Posidonia oceanica in the marine area and the dune–lagoon system could be able to retreat in the case of sea submersion. The sector exposed to submersion risk is presently a farming area, with the exception of a large campsite located between the lagoon and the road.

3.1.2. Valledoria

Map 2: The area includes the mouth of the Coghinas River, which is interesting due to the intense agricultural cultivation of artichokes (50% of Sardinian artichoke production). It is partly located in the fluvial marine arm of the mouth of the Coghinas River, which forms a protected zone parallel to the coastline. The latter is characterized by a 5–6 m high dune system on average, with up to 12 m of elevation. Because of the absence of roads or buildings on the dune area, with the exception of a campsite, the dunes are free to retreat in case of sea-level rise (Figure S1).

3.1.3. Orosei

Map 3: The Cedrino river flows near the Orosei bay, with an estuary mouth which is closed in dry periods by a sandy shoreline which forms a marshy area—particularly rich in fauna—in the area behind it. It is the fifth longest river in Sardinia and has caused dangerous flooding in the past. The construction of a dam 20 km upstream (under Dorgali) and 5 m high embankments in the area just before the mouth prevent the river from overflowing into the plain in the depressed areas shown on the map during the floods. There are human activities and agricultural fields which are protected from the floods of the river. This high-value coastal wetland retains a subtle balance between sediments brought by the river and the rising sea, Figure 3.

3.1.4. Bastia

Map 4: The Biguglia lagoon is located south of Bastia (France) and is separated from the Tyrrhenian Sea by a sandy dune belt. It is an important wetland zone of interest that includes the largest lake in Corsica. It covers an area of 14.5 km2, with a length of 11 km and a width of 2.5 km. The lagoon has two Natura 2000 protection zones and is a site of European relevance. Its large extent makes it an area of great ecological importance with high biodiversity in the Mediterranean basin due to the presence of avifauna fauna and aquatic flora. The aquatic fauna allows a large number of birds to nest, live and reproduce on the site. The external dune cord seems fairly well preserved, but there are many houses that will be exposed to sea-level rise if the dune recedes. Some rivers flow into the area and bring numerous sedimentary deposits. The area of potential submersion also falls in the northern portion of the Bastia airport (Figure S1).

3.1.5. Marina di Campo

Map 5: The Marina di Campo beach (Elba Island, Italy) is the largest of the islands (1.4 km). It is made of granite-source sand and surrounded by a thick pine forest. The dune no longer exists, and many houses in the town and the southern part of the airport are exposed to sea-level rise, Figure 4.

3.1.6. Tronto

Map 6: The Tronto River (Adriatic Sea, Italy) has a typical Apennine regime with strong floods in the rainy season (about 1500 m3/s) and in summer. The coastal dune has been eroded, except for the northern coastal portion of the river-mouth, with depressed swampy areas and farming areas at risk of submersion in 2100. On the southern side is the inhabited center of Martinsicuro, with large beaches and bridles that collect the sediments of the river that feed the beaches. Some local houses will be exposed to marine submersion in 2100.

3.1.7. Sangro

Map 7: In this area, there are small depressed zones behind the beach, mainly devoted to agriculture. Although the railway and the highway are not exposed to marine submersion as they are protected by the continuous deposit of fluvial sediments along the coasts, we note that the dunes have been eroded. The fluvial–marsh geomorphological history of the plain is described in Parlagreco et al. [57] (Figure S1).

3.1.8. Pescara

Map 8: The geomorphological evolution of the largely anthropized coastal area of Pescara is characterized by a slow progradation [58]. About 7000 years ago, the area in which the sports field of Pescara is located was a lagoonal environment. The dune system has been completely eroded. There are small depressed areas within the city, but the flow of the river sediments should counteract any submersion (Figure S1).

3.1.9. Lesina

Map 9: The Lesina Lake (a protected natural area since 1981, now part of Gargano National Park) is a brackish lagoon and an important habitat for bird species, located along the northwestern shore of the Gargano promontory (Apulia, Italy) and connected to the Adriatic Sea through three narrow artificial channels. The depth of the brackish waters does not exceed two meters. Most of the dune belts are preserved, and they do not show evidence of fast retreat, representing an important obstacle to sea-level rise. The low lands bordering the lagoonal area are devoted to agriculture and zoo technique activities. The village of Marina di Lesina may experience local instabilities due to the karst sinking into the gypsum layers, as described in Section 3.2.

3.1.10. Brindisi

Map 10: This coastal area is located in a very sensitive rocky area occupied by a peripheral part of Brindisi city, touristic settlements, archaeological and architectural sites, air–industrial facilities and the Casale airport, whose NE portion, at about 1 m above sea level, falls near the touristic harbor and connected shipyards. However, the main runway runs SE–NW at safe altitudes between 7 and 8 m (Figure S1).

3.1.11. Larnaka (Cyprus)

Map 11: The international airport area occupies the wetland area of Larnaka, with a runway placed at about 1 m above sea level. The low resolution of the map prevents any further detailed coastal hazard assessment, Figure 5.

3.1.12. Granelli (Italy)

Map 12: The Longarini lagoon is a wetland of about 0.02 km2 and is known as Porto Ulisse due to its frequentation in Greek and Roman times; it is part of the wider Site of Community Importance (European Union (EU) Habitat Directive), which is one of the most important wetlands in the Mediterranean for the protection of biodiversity. It is separated from the Sicily Channel by a dune belt which is strongly urbanized and shows several paths that interrupt its continuity; thus, it does not avoid the sea flooding during extreme events and partial submersion in the next decades due to sea-level rise, Figure 6.

3.1.13. Kerkennah

Map 13: This archipelago is located in the Gulf of Gabes (Tunisia)—a few kilometers from Sfax. It is composed of seven small and poorly inhabited rocky islands placed between 0 and 4–5 m above the sea level. In this area, the available data do not allow us to create a high-resolution DTM, preventing any reliable description of a submersion scenario. Being located close to the sea level in a stable tectonic environment, the lowest elevated coastal zones of this area are prone to be flooded by 2100, Figure 7.

3.1.14. Stagnone e Saline di Marsala

Map 14: The Stagnone of Marsala is considered a semi-enclosed lagoon that was partially flooded by about 1 m during the Punic Age (2.3 ka BP) [41]. This area is occupied by the airport of Trapani Birgi and the nearby salt pans, with the latter being at risk of marine submersion and consequent economic loss. In particular, the runway of Birgi airport is placed between 7 and 2 m above sea level and is exposed to marine submersion during storm surges (Figure S1).

3.1.15. Mallorca

Map 15: The map shows an extremely anthropized low-elevation rocky coast, without dunes and with depressed marshy areas inside. Additionally, the north runway of the international airport is prone to marine submersion due to its low elevation above sea level, Figure 8.

3.1.16. Ibiza

Map 16: Our map highlights some depressed zones around the city of Ibiza, belonging to marshy areas. The international airport is located between 5 and 6 m of elevation above sea level and presently is not at risk of marine submersion. Conversely, some docks and parking areas of the Ibiza harbor, placed at around 1 m above sea level, are prone to sea-level rise in 2100, as well as the salt pans located east of the city (Ses Salines Natural Park). The dune that currently protects the salt marshes is active and has no obstacles to its movement; however, it is cut by a road in its northern sector, which will facilitate marine ingression over the next decades, Figure 9.

3.2. New Tectonic Data

In this section, we show the vertical tectonic trends for the studied areas, which are considered tectonically stable (see Introduction and references therein). Radiocarbon data from lagoon fossil shells sampled in cores and the predicted sea-level rise for the Holocene [47] are also included in the analysis.
A recent paper for the Fertilia area [59] (for a site located 9 km from Fertilia) dated the Lithopyllum reef sampled into the fossil tidal notch, confirming it belongs to MIS 5.5, 125 ka BP). The tectonic stability considered for Marina di Campo (island of Elba) derives from a deposit containing Strombus bubonius (now Persitrombus latus) found in the island of Pianosa, which is 26 km distant and at an altitude of 5 m. However, a new paper [60] was able to discuss our considerations; the radiocarbon ages of marine and brackish shells extracted from some cores, if compared with the local sea-level curve from Lambeck et al. [47], show a clear subsidence of 2–3 mm/year. If this is not due to compaction or in situ sediments, the areas of the maps highlighted by us as being at risk of possible sea submersion could be wider. There are no fossil deposits of MIS 5.5 found on the island. For the coastal area at the mouth of the Sangro river, it was possible to examine some works such as Aucelli et al. [32] and Parlagreco et al. [57] that confirmed the tectonic stability of the area. For the small depressed areas mapped around the city of Pescara, data were reported in Aucelli et al. [32] and Parlagreco et al. [58]. In this work, ENEA carried out a core in the city for the study of the lagoon’s evolution down to 15 m. Apart from the first meters of soil compaction, the radiocarbon age of shells from the lagoonal environment, when compared with the sea-level curve from Lambeck et al. [47], confirm the remarkable tectonic stability.
The Lesina area is placed eastward of the mouth of the Fortore River. It is dominated by a marine terrace with pebbly deposits with the inner margin at about 25 m above sea level, attributed on a morphostratigraphic basis to a generic last Interglacial. When attributed to the MIS 5.5 last interglacial, as suggested by Mastronuzzi et al. [61], we can speculate a slow tectonic uplift. A high cliff separates it from the plain of the Fortore River; its sediments are distributed from NNW to ESE by the drift of a long shore that over time has supplied a littoral spit that has its root at Punta delle Pietre Nere and which limits Lesina Lake [62]. This area is very complex from a neotectonic point of view. A few kilometers north of the lagoon, a core carried out near to the Biferno river mouth and radiocarbon analysis on lagoon shells [63], when compared against Lambeck et al. [47], indicated a slight uplift. During the Holocene, the whole area of the plain of Fortore River underwent repeated events of slow subsidence and uplift [64,65]; these were identified thanks to the presence of the uplifted Cladocora caespitosa “coralligenous-like” bioconstruction of Punta di Pietre Nere (today, the top is at about 1.5 m above sea level) and by the recognized bio concretions of Dendropoma spp; when compared with Lambeck et al. [47], this indicates a general uplift of about 2.49 ± 0.54 mm/year [50]. In this area, the uplifting can be related to the combination of the dynamics imposed by the activity of the gypsum structure of Punta delle Pietre Nere and the regional tectonics conditioned by the structures of the Fortore River, Tremiti Islands and Gargano Promontory [66,67,68]. On the other hand, in the town of Lesina Marina, Caporale et al. [69] highlighted the localized subsidence of the area with rates of up to 5 mm/year due to the karst activity that produces more sinkholes in the gypsum units, while, on the basis of radiocarbon age determinations on samples derived by cores sampled near Lesina—Punta delle Pietre Nere performed by Longhitano et al. [70], a low rate of uplift may be supposed using the model of Lambeck et al. [47]. In the presence of these neotectonic differences, it was not easy to attribute tectonic rates to the map (Table 2); thus, we considered it more appropriate to make a mean of the values because there is no regional study on these local phenomena nor instrumental geodetic data. In this case, we have assumed zero tectonics, and for some small areas of the map the values could, therefore, be either in excess or too low. A few kilometers further south, just beyond the Gargano promontory, Caldara and Simone [71] published the results of a core carried out in Palude Frattarolo where the radiocarbon ages of the lagoon Cerastoderma, when compared with Lambeck et al. [47], indicate substantial stability [50].
The investigated area of Brindisi is characterized by outcrops of Middle–Late Pleistocene units on which the sea shaped a gently sloping rocky coast. In general, the area preserves archaeological and geomorphological evidence that indicates a very low rate of subsidence over the long term and a substantial stability during the Holocene [72,73,74,75].
The Island of Cyprus is located in a tectonically quasi-stable area (0–0.15 tectonic uplift). Galili et al. [76] reports the elevation of MIS 5.5 across the island, falling at Larnaca airport at 7 ± 0.5 m, indicating the stability of this coastal area (sea level during MIS 5.5 was 7 m higher than today in Mediterranean Sea [50]).
Regarding the coastal area of Stagnone and Saline di Marsala, there are some data [48,77] related to MIS 5.5 which indicate tectonic stability. Basso et al. [78] carried out several surveys in the Stagnone di Marsala and performed radiocarbon aging on brackish organisms such as the Cerithium. Findings evidenced depths of 50–70 cm and ages up to 3 and 6 ka cal BP, as if there had been considerable uplift (when compared with the curve from Lambeck et al. [47]); after extensive discussions based on the ecology of the place (personal communication with Prof. Renato Chemello), there are high chances that these environments have undergone major changes in the last 6 ka cal BP. The confirmation that this is the well-known Punic-era road (2300 year BP) which is now up to 1 m below sea level shows a paleo level of the sea of at least 1.8 m.
As regards the Mallorca and Ibiza islands, Muhs et al. [79] and the references therein testify the tectonic stability of this islands on the basis of speleothem and coral U/Th dating and amino acid analyses.

4. Discussion

The 16 maps represent an update for new areas of the flooding scenarios reported by Lambeck et al. [47] and Antonioli et al. [29]. Because some areas are not covered by high-resolution LiDAR data, three of the generated maps are affected by a lower resolution which prevented the realization of detailed submersion scenarios for the IPCC-AR5 RCP8.5 [36] and Rahmstorf [17] projections for 2100 (Table 3). Although our maps’ detail shows the expected scenarios and include the contribution of the vertical land movements (due to GIA and vertical tectonics) that may accelerate the submerging process, they have been realized without taking into account the effects of the drainage systems that could keep the investigated areas dry.
Therefore, we can only speculate on the extension of the expected marine submersion in 2100 with potential related impacts on coastal morphology and infrastructures, given the chosen climatic scenarios and the estimated trend of vertical land movements.
Table 3 shows the uncertainties of the DTM obtained by LiDAR and Copernicus data (Table 2). For the latter, the RMSE (Root Mean Square Error) in terms of vertical accuracy is about ±1 m for lowlands (less than 10% slope) as reported in the DTM v1.0 statistical validation document (https://land.copernicus.eu/user-corner/technical-library/eu-dem-v1.0 [54]). In particular, the RMSE in Cyprus is 1.39 m, which is still too high to build up a high resolution DTM suitable to analyze in detail the sea level rise scenario for 2100. Similarly, also for Bastia (France) and Kerkennah (Tunisia) the low resolution of the spatial data prevented to realize flooding scenarios.
In particular, the relative sea level rise falls between just over a meter and the average error of Copernicus data is 1.6 m on the Z-axis, preventing the significance of the three maps of Larnaka Bastia and Kerkennah. To this issue, we compared the elevation in the DTMs from Lidar and the altitudes from Google Earth, finding a high correspondence. This comparison was also carried out on the three maps built by DTMs using Copernicus data (25 × 25 m), and also in this case the values are similar to the Copernicus DTM. Scientific papers concerning the vertical error of Google Earth [80,81,82,83,84] report that the use of new satellite since 2016, improved the quality of the data, including the Z-axis between 2.5 m and less of 1 m, with an average error of 1.6 m and even better values in flat areas.
For the Bastia area, the1:5000 scale map (Figure 10a,b, Table 2). provides good details which are in excellent agreement with the Copernicus data (25 × 25 m) on the Z-axis.
The DTMs from Copernicus and SRTM (Shuttle Radar Topography Mission) compared for the vertical with Google Earth, show the uncertainty regarding the low resolution of this data: using resolution of 25 × 25 or 30 × 30 m, the slight changes in the lowlands such as dunes, bars, embankments and other features are smoothed in the pixels, thus losing information about those morphological features (natural and anthropic) that could combat the sea-level rise. Furthermore, regarding this issue, we cannot exactly assess the sea-submersion extent on these areas, but we certainly assert that they will suffer marine submersion effects in the future (on the maps of Bastia, Larnaka and Kerkennah, have been annotated with the label “LOW SPATIAL-RESOLUTION MAP”).

5. Conclusions

In this work, we have shown a methodology to create maps with potentially expected submersion scenarios for 2100 in 16 different selected coastal zones of the Mediterranean basin which are prone to marine submersion under the effects of relative sea-level rise. For these areas, were produced thematic maps that were based on climatic scenarios, tectonics, local geological behavior and the best available digital topography. Maps have been produced for five small coastal areas of the Adriatic Sea (Italy) and 11 areas for eight islands of the Mediterranean Sea (Sardinia, Sicily, Elba Island in Italy; Corsica in France; Cyprus; Kerkennah in Tunisia; Majorca and Ibiza in Spain). All these areas are exposed to coastal hazard due to the their low elevation above the present mean sea level, the rates of vertical land movements and their morphological features. The different characteristics affect the expected scenarios that were built for both gently sloping rocky coasts or wave-dominated coasts. The latter are often characterized by sandy mobile systems marked by the presence of extended back dune areas with swamp, lagoon or coastal lake that are particularly sensitive to sea level rise. Some areas guest natural high value sites belonging to protected areas or National Parks; some are deeply urbanized by residential or touristic settlements; others are characterized by the presence of cultural heritage, and infrastructure such as communication routes, harbors or airports.
All maps were realized with the same methodology, but only 13 out of 16 were elaborated using high-resolution data derived by LiDAR surveys. The remaining three maps (Larnaka in Cyprus; Bastia in France and Kerkennah in Tunisia) were elaborated through data freely released by the Copernicus program with a resolution that did not allow us to map detailed scenarios. However, the land elevation of these areas was a critical factor for the expected sea-level rise for 2100.
From our analysis we estimated a potential loss of land for the above areas between about 148 km2 for the IPCC-RCP8.5 scenario and 192 km2 for the Rahmstorf scenario, impacting a coastline length of about 400 km, where are often located densely inhabited settlements and infrastructures. The expected scenario and the exposition of the investigated areas to coastal hazard should be considered for a cognizant management of the coastal zone.

Supplementary Materials

The following are available online at https://www.mdpi.com/2073-4441/12/8/2173/s1, Figure S1: Eight maps of possible submerging coastal areas in the Mediterranean Sea, Video S1: Short drone flight on some coastal plains in Italy (mp4 short film).

Author Contributions

Conceptualization: F.A., M.A., G.M., G.D.F.; Data curation: G.D.F., L.M., V.L.P., G.S. (Giovanni Scardino); Formal analysis: L.M., V.L.P., G.D.F., M.A., D.B., S.C., G.L., S.F., A.M., M.P., G.S. (Giovanni Scicchitano), G.R.; Funding acquisition: S.C., F.A., G.M., M.P.; Investigation: F.A., V.L.P., G.S. (Giovanni Scicchitano), M.A., S.C., G.L., S.F., Methodology: F.A., M.A., G.M., G.D.F., G.S. (Giovanni Scardino) Project administration: S.C., M.P. Resources: S.C., M.P., F.A., G.M. Visualization: G.R., L.M., V.L.P., G.D.F., M.A., D.B., S.C., G.L., S.F., A.M., M.P., G.S. (Giovanni Scicchitano); Writing—original draft: F.A., M.A., G.D.F., G.L., D.B., M.P.; Writing—review and editing: M.A., F.A., S.F., G.M., G.R., G.D.F., G.S. (Giovanni Scardino). All authors have read and agreed to the published version of the manuscript.

Funding

This study has been carried out in the frame of the RITMARE Project The Italian Research for the Sea, coordinated by the Italian National Research Council and funded by the Italian Ministry of Education, University and Research (Resp. F. Antonioli, S. Carniel), the CLIMTOUR Projects (Resp. M. Petitta) and I-STORMS Project from DISTEGEO—UNIBA and Regione Puglia Civil Protection (resp. G. Mastronuzzi).

Acknowledgments

We are thankful to Egidio Trainito for the Surveys in Sardinia. Additional maps by Antonioli et al. [29] are available online at the ISPRA website at the following link: http://portalesgi.isprambiente.it/it/news/news/scenari-di-innalzamento-del-livello-del-mare-su-alcune-aree-costiere-italiane [85]. We are thankful to the Italian Geological Service (ISPRA), which will continue to update this database. This work was also carried out under the umbrella of the IGCP Project n. 639 “Sea-level change from minutes to millennia” (Project Leaders: S. Engelhart, G. Hoffmann, F. Yu and A. Rosentau), the savemedcoasts (www.savemedcoasts.eu) and savemedcoasts-2 (www.savemedcoasts2.eu) projects.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

The following abbreviations are used in the manuscript:
EOEarth Observation
CETCopernicus European Tourism
CLIMTOURCopernicus Climate Change Service: European Tourism
DTMDigital Terrain Model
GEBCOGeneral Bathymetric Chart of the Oceans
GISGeographic Information System
MISMarine Isotope Stage
LiDAR Light Detection and Ranging
IPCC AR5Intergovernmental Panel on climate change, 2013
RCPRepresentative Concentration Pathways
sRMSERoot Mean Square Error
SRTMShuttle Radar Topography Mission
RITMAREis one of the Flag Projects of the Italian Research Program funded by the Ministry of University and Research

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Figure 1. The Mediterranean coastal plains investigated in this paper (green dots) and previous studies by Antonioli et al. [29], Marsico et al. [30] (yellow marks and letters), Aucelli et al. [31,32] and Giordano et al. [33] (white marks and letters).
Figure 1. The Mediterranean coastal plains investigated in this paper (green dots) and previous studies by Antonioli et al. [29], Marsico et al. [30] (yellow marks and letters), Aucelli et al. [31,32] and Giordano et al. [33] (white marks and letters).
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Water 12 02173 g002 550
Figure 2. Map 1 Fertilia (Sardinia Italy, see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 2.3 km2.
Figure 2. Map 1 Fertilia (Sardinia Italy, see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 2.3 km2.
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Water 12 02173 g003 550
Figure 3. Map 3 Orosei (Sardinia Italy, see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 3.1 km2.
Figure 3. Map 3 Orosei (Sardinia Italy, see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 3.1 km2.
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Water 12 02173 g004 550
Figure 4. Map 5 Marina di Campo (Elba Island, Italy, see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 3.4 km2.
Figure 4. Map 5 Marina di Campo (Elba Island, Italy, see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 3.4 km2.
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Figure 5. Map 11 Larnaka (Cyprus), see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 11.6 km2.
Figure 5. Map 11 Larnaka (Cyprus), see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 11.6 km2.
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Water 12 02173 g006 550
Figure 6. Map 12 Granelli (Sicily, Italy), see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 6.8 km2.
Figure 6. Map 12 Granelli (Sicily, Italy), see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 6.8 km2.
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Figure 7. Map 13 Kerkennah (Tunisia), see also Figure 1 for location. The potential submersion area, using Rahmstorf 2007 projections are 109 km2.
Figure 7. Map 13 Kerkennah (Tunisia), see also Figure 1 for location. The potential submersion area, using Rahmstorf 2007 projections are 109 km2.
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Figure 8. Map 15 Palma de Mallorca (Spain), see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 3.7 km2.
Figure 8. Map 15 Palma de Mallorca (Spain), see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 3.7 km2.
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Figure 9. Map 16 Ibiza (Spain), see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 4.2 km2.
Figure 9. Map 16 Ibiza (Spain), see also Figure 1 for location). The potential submersion area, using Rahmstorf 2007 projections are 4.2 km2.
Water 12 02173 g009
Water 12 02173 g010a 550Water 12 02173 g010b 550
Figure 10. (a) and (b). Bastia 1:5000 scale map, the red circle underline the altitude showing a excellent agreement with the Map 4 Bastia.
Figure 10. (a) and (b). Bastia 1:5000 scale map, the red circle underline the altitude showing a excellent agreement with the Map 4 Bastia.
Water 12 02173 g010aWater 12 02173 g010b
Table
Table 1. Global projections (cm) of sea-level rise at 2100 for different authors.
Table 1. Global projections (cm) of sea-level rise at 2100 for different authors.
RCPIPCC 2013
cm		IPCC 2019
cm		Kopp et al., 2016
cm		Mengel et al., 2016
cm		Horton et al., 2014
cm		Rahmstorf 2007
cm		Bamber al., 2019
cm
RCP 8.553–9761–11052–13157–13150–15050–14021–163
Table
Table 2. Link to the websites and data (shapefiles).
Table 2. Link to the websites and data (shapefiles).
LinkProjectMap Number
http://www.pcn.minambiente.it/mattm/RITMARE5, 6, 7, 8, 9, 10
http://www.sitr.regione.sicilia.it/?page_id=419RITMARE
CLIMTOUR		14
12
http://www.sardegnageoportale.it/areetematiche/modellidigitalidielevazione/CLIMTOUR1, 2, 3
http://centrodedescargas.cnig.es/CentroDescargas/buscador.do#CLIMTOUR15, 16
https://land.copernicus.eu/CLIMTOUR4, 11, 13
https://www.geoportail.gouv.fr/carteCLIMTOUR4
Table
Table 3. A: site number; B: coastal zone; C: (digital terrain model, DTM) resolution and accuracy; D: epoch of DTM; E: IPCC projection AR5-RCP8.5 for 2100; F: IPCC projection AR5-RCP8.5 for 2050; G: Rahmstorf projection (2007); H: vertical tectonic rate mm/year; I: glacial isostatic adjustment (GIA) rate (Lambeck et al., 2011); J: relative sea-level rise for 2050, IPCC AR5-RCP8.5 scenario; K: relative sea-level rise for 2100, IPCC AR5-RCP8.5 scenario; L: sea-level rise for 2100, Rahmstorf (2007); M: relative sea-level rise for SROCC 2100; N: potential flooded area in 2100, IPCC RCP8.5; O: flooded area for 2100 in km2, Rahmstorf (2007); P: exposed coastline length (km2).
Table 3. A: site number; B: coastal zone; C: (digital terrain model, DTM) resolution and accuracy; D: epoch of DTM; E: IPCC projection AR5-RCP8.5 for 2100; F: IPCC projection AR5-RCP8.5 for 2050; G: Rahmstorf projection (2007); H: vertical tectonic rate mm/year; I: glacial isostatic adjustment (GIA) rate (Lambeck et al., 2011); J: relative sea-level rise for 2050, IPCC AR5-RCP8.5 scenario; K: relative sea-level rise for 2100, IPCC AR5-RCP8.5 scenario; L: sea-level rise for 2100, Rahmstorf (2007); M: relative sea-level rise for SROCC 2100; N: potential flooded area in 2100, IPCC RCP8.5; O: flooded area for 2100 in km2, Rahmstorf (2007); P: exposed coastline length (km2).
ABCDEFGHIJKLMNOP
Site no.Coastal ZoneDTM
Resolution and Vertical Accuracy
(m)		YearSLR
Projection 2100
IPCC-8.5 (2013)
(mm)		SLR
Projection
2050
IPCC-8.5
-2013
(mm)		SLR
Projection
2100
Rahmstorf
-2007
(mm)		Vertical Tectonic Rate
(mm/year)		GIA
(mm/year)		Total
SLR -IPCC (2013)
2050
(mm)		Total
SLR- IPCC 2100 (2013)
(mm)		Total
SLR 2100
Rahmstorf (2007)
(mm)		Total
SLR-IPCC SROCC 2100
(mm)		Flooded Area 2100
IPCC-8.5
(km2)		Flooded area 2100
Rahmstorf (2007)
(km2)		Exposed Coastline Length
(km)
1FertiliaLiDAR2008970225140000.57249102214521152.441.72.36.2
5 × 5 (±0.2)±134±134±134
2ValledoriaLiDAR2008970225140000.57249102214521152.4412.25.6
1 × 1 (±0.2)±134±134±134
3OroseiLiDAR2008970225140000.62251102714571157.041.637.6
1 × 1 (±0.2)±134±134±134
4Bastia25 × 252010970225140000.44243101014401139.6212529.4
±1±134±134±134
5Marina di campoLiDAR2013970225140000.37239100214321132.190.10.344.8
2 × 2 (±0.2)±134±134±134
6TrontoLiDAR2008970225140000.323899814281127.60.060.099.2
2 × 2 (±0.2) ±134±134±134
7SangroLiDAR2008970225140000.37241100414341134.040.080.137.2
2 × 2 (±0.2)±134±134±134
8PescaraLiDAR2008970225140000.385241100514351135.420.30.520.7
2 × 2 (±0.2)±134±134±134
9LesinaLiDAR20089702251400See Section 3.2 0.42243100914391138.64131340
2 × 2 (±0.2) (coast) 2014±134±134±134
1 × 1 (±0.2) (inland)
10BrindisiLiDAR2008970225140000.44243101014401140.480.50.99.9
2 × 2 (±0.2)±134±134±134
11Larnaka Ciprus25 × 252010970225140000.2122798914191118.910.311.632.7
±1±134±134±134
12GranelliLiDAR2007970225140000.56248102214521151.525.46.814.4
2 × 2 (±0.2)2008±134±134±134
13KerkennahSRTM 30 × 302010970225140000.2523499914201122.582.3109220.1
±134±134±134
14Stagnone e saline di MarsalaLiDAR2008970225140000.56249102214521151.525.46.918.5
2 × 2 (±0.2)±134±134±134
15MallorcaLiDAR2010970225140000.61249102514551154.91.33.723.1
5 × 5 (±0.2)±134±134±134
16IbizaLiDAR2010970225140000.61249102514551154.92.94.251
5 × 5 (±0.2)±134±134±134
Total 148.5192.4407.8
Table
Table 4. A: coastal areas chosen for our research; B, C: region and Country; D: coordinates; E: wind\wave exposure; F: maximum fetch (km); G: geological coastal material; H: annual mean energy flux (kW\m) according with [56]; I: kind of geomorphological outcrop; L: human made structures occupying the area planned to be submerged on 2100.
Table 4. A: coastal areas chosen for our research; B, C: region and Country; D: coordinates; E: wind\wave exposure; F: maximum fetch (km); G: geological coastal material; H: annual mean energy flux (kW\m) according with [56]; I: kind of geomorphological outcrop; L: human made structures occupying the area planned to be submerged on 2100.
ABCDEFGHIL
Coastal SiteRegionCountryLatitude and Longitude (Dedimal Degree)Exposure DirectionMax Fetch (km)Coastal
Material		Wave Energy Flux kW/mGeomorphologyHuman-Made Structures
1 FertiliaSardiniaItaly40.617889° N 8.200782° E GrS505Sand7Pocket beachFertilia town
2 ValledoriaSardiniaItaly40.961910° 8.840432°NW520Sand
ravels		4Embayed BeachAgricultural crops
3 OroseiSardiniaItaly40.373995°
9.725289°		SW574Sand1.5Embayed BeachAgricultural crops
4 BastiaCorseFrance42.660470°
9.448431°		W700Rock2Barrier LagoonBastia Airport
5 Marina di CampoIsland of ElbaItaly42.748714°
10.238112°		SW660Sand1,5Pocket beachMarina di Campo town
6 TrontoMarcheItaly42.896730°
13.911675°		WNW518Sand1River
Delta/mainland beach		Agricultural crops
7 SangroAbruzzoItaly42.241935°
14.517749°		NW423Sand1River
Delta/mainland beach		Agricultural crops
8 PescaraAbruzzoItaly42.467166°
14.225779°		NW518Sand1River
Delta/mainland beach		Pescara town
9 LesinaApuliaItaly41.883915°
15.452643°		N416Sand1.5Coastal lake and
lagoon, tombolo 		Agricultural crops
10 BrindisiApuliaItaly40.668235°
17.948512°		NE688Rock1.5Gently sloping
rocky coast		Brindisi Airport
11 LarnakaDistrict
of Larnaka		Cyprus34.947170°
33.643878°		SW403Silt5Embayed BeachLarnaka airport
12 GranelliSicilyItaly36.700054°
15.024145°		SSW770Sand3Barrier LagoonAgricultural crops
13 KerkennahGovernorate of SfaxTunisia34.740386°
11.221183°		E2167Rock2.5Low-lying
rock platform		Tourist activities
14 MarsalaSicilyItaly37.862205°
12.442988°		W1605Sand5Barrier LagoonSaltponds
15 MallorcaIsland
of Mallorca		Spain39.530120°
2.729394°		SW637Sand5Embayed BeachMallorca
airport
16 IbizaIsland of IbizaSpain38.858203°
1.370749°		S2730Sand3Embayed BeachSaltponds

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Antonioli, F.; De Falco, G.; Lo Presti, V.; Moretti, L.; Scardino, G.; Anzidei, M.; Bonaldo, D.; Carniel, S.; Leoni, G.; Furlani, S.; et al. Relative Sea-Level Rise and Potential Submersion Risk for 2100 on 16 Coastal Plains of the Mediterranean Sea. Water 2020, 12, 2173. https://doi.org/10.3390/w12082173

AMA Style

Antonioli F, De Falco G, Lo Presti V, Moretti L, Scardino G, Anzidei M, Bonaldo D, Carniel S, Leoni G, Furlani S, et al. Relative Sea-Level Rise and Potential Submersion Risk for 2100 on 16 Coastal Plains of the Mediterranean Sea. Water. 2020; 12(8):2173. https://doi.org/10.3390/w12082173

Chicago/Turabian Style

Antonioli, Fabrizio, Giovanni De Falco, Valeria Lo Presti, Lorenzo Moretti, Giovanni Scardino, Marco Anzidei, Davide Bonaldo, Sandro Carniel, Gabriele Leoni, Stefano Furlani, and et al. 2020. "Relative Sea-Level Rise and Potential Submersion Risk for 2100 on 16 Coastal Plains of the Mediterranean Sea" Water 12, no. 8: 2173. https://doi.org/10.3390/w12082173

APA Style

Antonioli, F., De Falco, G., Lo Presti, V., Moretti, L., Scardino, G., Anzidei, M., Bonaldo, D., Carniel, S., Leoni, G., Furlani, S., Marsico, A., Petitta, M., Randazzo, G., Scicchitano, G., & Mastronuzzi, G. (2020). Relative Sea-Level Rise and Potential Submersion Risk for 2100 on 16 Coastal Plains of the Mediterranean Sea. Water, 12(8), 2173. https://doi.org/10.3390/w12082173

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