The Mediterranean Decision Support System for Marine Safety dedicated to oil slicks predictions

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:3069553 25 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
The Mediterranean Decision Support System for Marine Safety dedicated to oil slicks predictions
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
In the Mediterranean sea the risk from oil spill pollution is high due to the heavy traffic of merchant vessels for transporting oil and gas, especially after the recent enlargement of the Suez canal and to the increasing coastal and offshore installations related to the oil industry in general. The basic response to major oil spills includes different measures and equipment. However, in order to strengthen the maritime safety related to oil spill pollution in the Mediterranean and to assist the response agencies, a multi-model oil spill prediction service has been set up, known as MEDESS-4MS (Mediterranean Decision Support System for Marine Safety). The concept behind the MEDESS-4MS service is the integration of the existing national ocean forecasting systems in the region with the Copernicus Marine Environmental Monitoring Service (CMEMS) and their interconnection, through a dedicated network data repository, facilitating access to all these data and to the data from the oil spill monitoring platforms, including the satellite data ones, with the well established oil spill models in the region. The MEDESS-4MS offer a range of service scenarios, multi-model data access and interactive capabilities to suite the needs of REMPEC (Regional Marine Pollution Emergency Response Centre for the Mediterranean Sea) and EMSA-CSN (European Maritime Safety Agency-CleanseaNet). © 2016 Elsevier Ltd
Έτος δημοσίευσης:
2016
Συγγραφείς:
Zodiatis, G.
De Dominicis, M.
Perivoliotis, L.
Radhakrishnan, H.
Georgoudis, E.
Sotillo, M.
Lardner, R.W.
Krokos, G.
Bruciaferri, D.
Clementi, E.
Guarnieri, A.
Ribotti, A.
Drago, A.
Bourma, E.
Padorno, E.
Daniel, P.
Gonzalez, G.
Chazot, C.
Gouriou, V.
Kremer, X.
Sofianos, S.
Tintore, J.
Garreau, P.
Pinardi, N.
Coppini, G.
Lecci, R.
Pisano, A.
Sorgente, R.
Fazioli, L.
Soloviev, D.
Stylianou, S.
Nikolaidis, A.
Panayidou, X.
Karaolia, A.
Gauci, A.
Marcati, A.
Caiazzo, L.
Mancini, M.
Περιοδικό:
Deep Sea Research Part II: Topical Studies In Oceanography
Εκδότης:
Elsevier Ireland Ltd
Τόμος:
133
Σελίδες:
4-20
Λέξεις-κλειδιά:
Artificial intelligence; Decision support systems; Emergency services; Forecasting; Marine safety; Offshore oil wells; Oil spills; Petroleum transportation; Pollution control; User interfaces, Dedicated networks; Environmental Monitoring; Monitoring platform; Network data; Offshore installations; Oil spill pollution; Oil-spill model; Pollution emergencies, Marine pollution, data acquisition; decision support system; environmental monitoring; gas industry; maritime transportation; merchant ship; numerical model; offshore engineering; oil industry; oil pollution; oil spill; satellite data, Egypt; Mediterranean Sea; Suez Canal
Επίσημο URL (Εκδότης):
DOI:
10.1016/j.dsr2.2016.07.014
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