Articles | Volume 11, issue 2
Earth Syst. Sci. Data, 11, 515–527, 2019
https://doi.org/10.5194/essd-11-515-2019
Earth Syst. Sci. Data, 11, 515–527, 2019
https://doi.org/10.5194/essd-11-515-2019

  23 Apr 2019

23 Apr 2019

Data set of submerged sand deposits organised in an interoperable spatial data infrastructure (Western Sardinia, Mediterranean Sea)

Walter Brambilla et al.

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Cited articles

Antonioli, F., Anzidei, M., Amorosi, A., Lo Presti, V., Mastronuzzi, G., Deiana, G., De Falco, G., Fontana, A., Fontolan, G., Lisco, S., Marsico, A., Moretti, M., Orrù, P. E., Sannino, G. M., Serpelloni, E., and Vecchio, A.: Sea-level rise and potential drowning of the Italian coastal plains: Flooding risk scenarios for 2100, Quaternary Sci. Rev., 158, 29–43, 2017. 
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Barbanti, A., Campostrini, P., Musco, F., Sarretta, A., and Gissi, E.: Developing a Maritime Spatial Plan for the Adriatic-Ionian Region, CNR-ISMAR, https://doi.org/10.5281/zenodo.48231, 2015. 
Blott, S. J. and Pye, K.: GRADISTAT: A grain size distribution and statistics package for the analysis of unconsolidated sediments, Earth Surf. Proc. Land., 26, 1237–1248, https://doi.org/10.1002/esp.261, 2011. 
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Short summary
The expected sea level rise by the year 2100 will determine an adaptation of the whole coastal system and the land retreat of the shoreline. Future scenarios coupled with the improvement of mining technologies will favour increased exploitation of sand deposits for nourishment. This work summarises a large data set of geophysical and sedimentological data that maps the spatial features of submerged sand deposits and is a useful tool in future climate change scenarios.