Oil Spill Dispersion Forecasting System for the Region of Installation of the Burgas Alexandroulopis Pipeline Outlet(N.E. Aegean) in the Framework of “DIAVLOS” Project

2010 ◽  
Author(s):  
M. Tzali ◽  
S. Sofianos ◽  
G. Kallos ◽  
A. Mantziafou ◽  
A. Zafeirakou ◽  
...  
2021 ◽  
Author(s):  
Katerina Spanoudaki ◽  
George Zodiatis ◽  
Nikos Kampanis ◽  
Maria Luisa Quarta ◽  
Marco Folegani ◽  
...  

<p>The coastal area of Crete is an area of increasing interest due to the recent hydrocarbon exploration and exploitation activities in the Eastern Mediterranean Sea and the increase of the maritime transport after the enlargement of the Suez Canal. National and local authorities, like ports and the coast guard, who are involved in maritime safety, such as oil spill prevention, the tourism industry and policy makers involved in coastal zone management, are key end users’ groups who can benefit from high spatial and temporal resolution forecasting products and information to support their maritime activities in the coastal sea area of the island. To support local end users and response agencies to strengthen their capacities in maritime safety and marine conservation, a high-resolution, operational forecasting system, has been developed for the coastal area of Crete. The COASTAL CRETE forecasting system implements advanced numerical hydrodynamic and sea state models, nested in CMEMS Med MFC products and produces, on a daily basis, 5-day hourly and 6-hourly averaged high-resolution forecasts of important marine parameters, such as sea currents, temperature, salinity and waves. The COASTAL CRETE high-resolution (~ 1km) hydrodynamic model is based on a modified POM parallel code implemented by CYCOFOS in the Eastern Mediterranean and the Levantine Basin, while for wave forecasts, the latest ECMWF CY46R1 parallel version including a number of new features, a state-of-the-art wave analysis and prediction model, with high accuracy in both shallow and deep waters has been implemented with a resolution of ~1.8 km. The COASTAL CRETE hydrodynamic model has been evaluated against the CMEMS Med MFC model and with satellite Sea Surface Temperature data with good statistical estimates. The COASTAL CRETE wave model is calibrated with in-situ data provided from the HCMR buoy network operating in the area. Both the CMEMS Med MFC products and COASTAL CRETE forecasts are made available through a customized instance of ADAM (Advanced geospatial Data Management platform) developed by MEEO S.r.l. (https://explorer-coastal-crete.adamplatform.eu/). This application provides automatic data exchange management capabilities between the CMEMS Med MFC and the COASTAL CRETE models, enabling data visualization, combination, processing and download through the implementation of the Digital Earth concept. Among the numerous functionalities of the platform, a depth slider allows to explore the COASTAL CRETE products through the depth dimension, and a sea current magnitude feature enables the visualization of the currents vectors by overlaying them to any available product/parameter, thus allowing comparisons and correlations. The downscaled high-resolution COASTAL CRETE forecasts will be used to deliver on demand information and services in the broader objectives of the maritime safety, particularly for oil spill and floating objects/marine litters predictions. Such a use case is presented for the port area of Heraklion, implementing nested fine grid hydrodynamic and oil spill models (MEDSLIK-II).</p><p>Acknowledgement: Copernicus Marine Environment Monitoring Service (CMEMS) DEMONSTRATION COASTAL-MED SEA. COASTAL-CRETE, Contract: 110-DEM5-L3.</p>


1979 ◽  
Vol 1979 (1) ◽  
pp. 649-652 ◽  
Author(s):  
Ivan M. Lissauer ◽  
Donald L. Murphy

ABSTRACT The methods used to forecast the movement of spilled oil have not changed significantly since the Argo Merchant spill. Little has been done to improve the deficiencies brought to light during this incident. Some of the deficiencies in the state-of-the-art are examined here, particularly those related to our incomplete knowledge of the physical mechanisms involved in oil spill movement. A basic framework for the development of an improved forecasting system is presented. It is based on the integration of a horizontal transport model, an evaporation model, and a vertical dispersion model.


Ocean Science ◽  
2012 ◽  
Vol 8 (4) ◽  
pp. 443-454 ◽  
Author(s):  
A. Cucco ◽  
A. Ribotti ◽  
A. Olita ◽  
L. Fazioli ◽  
B. Sorgente ◽  
...  

Abstract. An innovative forecasting system of the coastal marine circulation has been implemented in the Bonifacio Strait area, between Corsica and Sardinia, using a numerical approach to facilitate the rapid planning and coordination of remedial actions for oil spill emergencies at sea by local authorities. Downscaling and nesting techniques from regional to coastal scale and a 3-D hydrodynamic numerical model, coupled with a wind wave model, are the core of the integrated Bonifacio Strait system. Such a system is capable of predicting operationally the dispersion of hydrocarbon spills in the area, both in forward and backward mode, through an easy-to-use graphical user interface. A set of applications are described and discussed including both operational applications aimed at providing rapid responses to local oil spill emergences and managing applications aimed at mitigating the risk of oil spill impacts on the coast.


2020 ◽  
Author(s):  
Svitlana Liubartseva ◽  
Ivan Federico ◽  
Giovanni Coppini ◽  
Rita Lecci

<p>The Taranto Sea is a Mediterranean lagoon where alarming pressure is expected to further increase, due to industrialization, heavy ship traffic, and densely populated coasts. The area hosts the Trading Port, Industrial Port, and Container Terminal. There is an important refinery, owned by ENI's Refining&Marketing, with a potential of 6 million tons per year (Autorità di Sistema Portuale del Mar Ionio – Porto di Taranto, 2017). A buoyed area in the Mar Grande is used by tankers of up to 300,000 GRT carrying petroleum for the refinery. Being at risk of oil pollution, the Taranto Sea became a pilot site for the development of a universal relocatable platform aimed at the real time management of marine pollution events in the harbors and ports in the framework of the IMPRESSIVE Project.</p><p>According to a Project paradigm, marine pollution forecasting system in harbors includes (1) EO observation technologies (satellite, ASV, UAV); (2) high-resolution hydrodynamic models based on downscaling of CMEMS products, and (3) pollution transport models.</p><p>To implement the system components for the Taranto Sea the Lagrangian oil spill model MEDSIK-II has been coupled to Southern Adriatic Northern Ionian coastal Forecasting System (SANIFS http://sanifs.cmcc.itFederico et al., 2017) and ECMWF atmospheric forecast. To this end, the SANIFS output discretized on the unstructured horizontal grid at a variable resolution of 3–4 km for the open sea and of 50–500 m for the coastal area is interpolated to a regular grid with a resolution of 150 m. For the first time, MEDSLIK-II can use currents and sea surface temperature of such the resolution, which is almost 15 times less than previously exploited horizontal resolution for the Pilot sites in the framework of coupling to the Adriatic Forecasting System (AFS) (Guarnieri et al., 2010).</p><p>The new coupling is planned to run the MEDSLIK-II simulations in stochastic mode in order to evaluate the environmental consequences of possible accidents and malfunctions in the ENI petroleum transport system.</p><p>This work is performed in the framework of the IMPRESSIVE project (#821922) co-funded by the European Commission under the H2020 Programme.</p><p>References:</p><p>Autorità di Sistema Portuale del Mar Ionio – Porto di Taranto, 2017. Three-year operational plan 2017–2019 and Port vision 2030 of the Port of Taranto. http://www.port.taranto.it/index.php/en/</p><p>Federico, I., Pinardi, N., Coppini, G., Oddo, P., Lecci, R., Mossa, M. 2017. Coastal ocean forecasting with an unstructured grid model in the southern Adriatic and northern Ionian seas. Nat. Hazards Earth Syst. Sci., 17, 45–59, doi: 10.5194/nhess-17-45-2017.</p><p>Guarnieri, A., Oddo, P., Pastore, M., Pinardi, N., 2010. The Adriatic Basin Forecasting System new model and system development. Coastal to Global Operational Oceanography: Achievements and Challenges, pp. 184–190.</p>


2020 ◽  
Author(s):  
Liping Yin ◽  
Fangli Qiao ◽  
Chang Zhao ◽  
Guansuo Wang

<p>Lagrangian methods have been widely used and playing more and more essential roles in the analysis of ocean physical processes, pollution prediction, ecosystem protection and fisheries. Using the Lagrangian methods based on the high resolution coupled ocean model, we report several specific studies. The numerical modelling team from First Institute of Oceanography (FIO), Ministry of Natural Resources (MNR) of China, developed an ocean forecasting system based on the global (1/10°) wave-tide-circulation coupled model, as well as the regional model (1/24°) for China and adjacent seas. Basing on this system and its products, we developed the global ocean radionuclides model to investigate the long-term transport, distribution and evaluation of 137Cs in the ocean both from the Fukushima nuclear accident in March of 2011 and nuclear tests during the past 60 years; established the search and rescue system which has successfully applied in the rescue of the Phuket boat capsizing accident in July 2018; established the Enteromorpha prediction and tracking models for the protection of the marine environmental hazard from Enteromorpha, and to identify the origin area of this harmful green tide; developed the stock enhancement model of edible jellyfish to mimic the distribution of the human-released jellyfish and identify the connectivity between the releasing site and the fishing ground in Liaodong Bay of Bohai Sea, China. With the combination of the statistical methods, we established the near-term forecast and long-term projection system of the oil spill to forecast and evaluate the influence of the oil spill from the “Sanchi” collision accident on the ocean. All of these applications are verified and essential for protecting the oceans.</p>


2018 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Alberto Ribotti ◽  
Fabio Antognarelli ◽  
Andrea Cucco ◽  
Marcello Falcieri ◽  
Leopoldo Fazioli ◽  
...  

Oil extraction platforms are potential sources of oil spills. For this reason, an oil spill forecasting system was set up to support the management of emergencies from the oil fields in the Italian seas. The system provides ready-to-use products to the relevant response agencies and optimizes the anti-pollution resources by assessing hazards and risks related to this issue. The forecasting system covers seven working oil platforms in the Sicily Channel and middle/low Adriatic Sea. It is composed of a numerical chain involving nested ocean models from regional to coastal spatial scales and an oil spill model. The system provides two online services, one automatic and a second dedicated to possible real emergencies or exercises on risk preparedness and responding. The automatic service produces daily short-term simulations of hypothetical oil spill dispersion, transport, and weathering processes from each extraction platform. Products, i.e., risk maps, animations, and a properly called bulletin, are available on a dedicated web-portal. The hazard estimations are computed by performing geo-statistical analysis on the daily forecasts database. The second service is activated in near-real-time producing oil spill simulations for the following 48 h.


2007 ◽  
Vol 65 (1-4) ◽  
pp. 134-157 ◽  
Author(s):  
G. Jorda ◽  
E. Comerma ◽  
R. Bolaños ◽  
M. Espino

2020 ◽  
Author(s):  
Katerina Spanoudaki ◽  
Nikolaos Kokkos ◽  
Konstantinos Zachopoulos ◽  
Georgios Sylaios ◽  
Nikolaos Kampanis ◽  
...  

<p>The H2020 funded project ODYSSEA (http://odysseaplatform.eu/) aims to make Mediterranean marine data easily accessible and operational to a broad range of users of the marine space. ODYSSEA develops an interoperable and cost-effective platform, fully integrating networks of observing and forecasting systems across the Mediterranean basin, addressing both the open sea and the coastal zone. The platform integrates marine data from existing Earth Observing Systems, such as Copernicus and EMODnet, receives and processes novel, newly produced datasets (through high-resolution models and on-line sensors such as a novel microplastics sensor) from nine prototype Observatories established across the Mediterranean basin, and applies advanced algorithms to organise, homogenise and fuse the large quantities of data in order to provide to various end-user groups and stakeholders both primary data and on-demand derived data services.</p><p>The nine ODYSSEA Observatories are established across the whole Mediterranean basin, covering also areas of marine data gaps along the North African and Middle East coastline. The Observatories comprise observing and forecasting systems and cover coastal and shelf zone environments, Marine Protected Areas and areas with increased human pressure. The operational forecasting system of the Observatories consists of a ‘chain’ of dynamically coupled, high-resolution numerical models comprised of a) the hydrodynamic model Delft3D-FLOW, b) the wave model Delft3D-WAVE (SWAN), c) the water quality model DELWAQ, d) the oil spill fate and transport model MEDSLIK-II, e) the ecosystem model ECOPATH, and f) the in-house mussel farm model developed by the Democritus University of Thrace. This operational system provides forecasts, early warnings and alerts for currents, waves, water quality parameters, oil spill pollution and ecosystem status. In this work, the ODYSSEA forecasting system (developed with the Delft-FEWS software) is implemented for simulating oil spill pollution for the Thracian Sea Observatory.  The area is biodiversity rich and an important spawning and nursery ground for small pelagic species, while in Kavala Gulf, oil exploitation takes place. The Lagrangian oil spill model MEDSLIK-II has been coupled to high-resolution oceanographic fields (currents, temperature, Stokes drift velocity), produced by Delft3D-FLOW and SWAN, and NOAA GFS atmospheric forcing. The hydrodynamic and wave models have been configured for the Thracian Sea based on dynamic downscaling of CMEMS products to a grid resolution of 1/120°. Seasonal hazard maps (surface oil slick, beached oil) are produced employing multiple oil spill scenarios using multi-year hydrodynamics. The results highlight the hazard faced by Thracian Sea Observatory coasts. </p><p><strong>Acknowledgements:</strong> This research has received funding from the European Union’s Horizon 2020 research and innovation programme ODYSSEA: OPERATING A NETWORK OF INTEGRATED OBSERVATORY SYSTEMS IN THE MEDITERRANEAN SEA, GA No 72727.</p>


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