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

Articolo
Data di Pubblicazione:
2016
Abstract:
The risk from oil spill pollution in the Mediterranean is high due to the heavy traffic of merchant
vessels for transporting oil and gas 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 make optimal use of such devices and to assist the response
agencies, oil spill and trajectory models are used, in order to provide predictions of the drift and
weathering of the oil slicks. During the past years, the development of the MyOcean service (today
Copernicus Marine Environmental Monitoring Service, CMEMS) and of the associated national
downscaled ones of the Mediterranean Operational Network for the Global Ocean Observing
System (MONGOOS) network, made possible to provide operational oceanographic forecasting
data to suit the oil spill predictions. The Copernicus marine service, together with the ability to
detect oil slicks using SAR satellite images, initiated the implementation of a multi model
integrated downstream oil spill prediction system in the Mediterranean to support in near real time
the maritime safety. The implementation of the system was carried out in the frame of the
Mediterranean Decision Support System for Marine Safety (MEDESS-4MS) project, which is
dedicated to the response agencies from all the riparian countries and to key users, such as
REMPEC, EMSA.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Mediterranean; Marine Safety; oil slicks; predictions; numerical kodelling; operational oceanography; DSS
Elenco autori:
Ribotti, Alberto; Sorgente, Roberto; Fazioli, Leopoldo; Pisano, Andrea
Autori di Ateneo:
FAZIOLI LEOPOLDO
PISANO ANDREA
RIBOTTI ALBERTO
SORGENTE ROBERTO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/318710
Pubblicato in:
DEEP-SEA RESEARCH. PART 2. TOPICAL STUDIES IN OCEANOGRAPHY
Journal
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URL

https://publications.cnr.it/doc/358069
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