Oil spill hazard from dispersal of oil along shipping lanes in the Southern Adriatic and Northern Ionian Seas

Liubartseva, Svitlana; Dominicis, Michela De; Oddo, Paolo; Coppini, Giovanni; Pinardi, Nadia; Greggio, N.

doi:10.1016/j.marpolbul.2014.10.039

Cited by 59 publications

(40 citation statements)

References 30 publications

(34 reference statements)

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“…On the other hand, stronger wind conditions in winter can also cause a more intense oil dispersion in the water column, contributing to a lower shoreline contamination risk in winter, as expressed in Liubartseva et al (2015). The direct influence of oil weathering processes are studied in this chapter.…”

Section: The Role Of Oil Spill Modelmentioning

confidence: 99%

“…Over the years, innovative oil spill hazard or risk assessment studies in coastal and marine environments have been published, considering historical data, reference situations, and typical or extreme scenarios (Castanedo et al, 2009;den Boer et al, 2014;Otero et al, 2014;WSP Canada Inc., 2014;Liubartseva et al, 2015), supporting contingency planning and strategic decision making. Silveira et al (2013) developed also a new method to calculate the ship risk collision, applied in the Portuguese continental shelf with AIS data, but without connection to oil spill hazard assessment or taking into consideration metocean conditions.…”

mentioning

confidence: 99%

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Combining operational models and data into a dynamic vessel risk assessment tool for coastal regions

Fernandes¹,

Braunschweig²,

Lourenço³

et al. 2016

Ocean Sci.

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Abstract. The technological evolution in terms of computational capacity, data acquisition systems, numerical modelling and operational oceanography is supplying opportunities for designing and building holistic approaches and complex tools for newer and more efficient management (planning, prevention and response) of coastal water pollution risk events.A combined methodology to dynamically estimate time and space variable individual vessel accident risk levels and shoreline contamination risk from ships has been developed, integrating numerical metocean forecasts and oil spill simulations with vessel tracking automatic identification systems (AIS). The risk rating combines the likelihood of an oil spill occurring from a vessel navigating in a study area -the Portuguese continental shelf -with the assessed consequences to the shoreline. The spill likelihood is based on dynamic marine weather conditions and statistical information from previous accidents. The shoreline consequences reflect the virtual spilled oil amount reaching shoreline and its environmental and socio-economic vulnerabilities. The oil reaching shoreline is quantified with an oil spill fate and behaviour model running multiple virtual spills from vessels along time, or as an alternative, a correction factor based on vessel distance from coast. Shoreline risks can be computed in real time or from previously obtained data.Results show the ability of the proposed methodology to estimate the risk properly sensitive to dynamic metocean conditions and to oil transport behaviour. The integration of meteo-oceanic + oil spill models with coastal vulnerability and AIS data in the quantification of risk enhances the maritime situational awareness and the decision support model, providing a more realistic approach in the assessment of shoreline impacts. The risk assessment from historical data can help finding typical risk patterns ("hot spots") or developing sensitivity analysis to specific conditions, whereas real-time risk levels can be used in the prioritization of individual ships, geographical areas, strategic tug positioning and implementation of dynamic risk-based vessel traffic monitoring.

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Section: The Role Of Oil Spill Modelmentioning

confidence: 99%

mentioning

confidence: 99%

Combining operational models and data into a dynamic vessel risk assessment tool for coastal regions

Fernandes¹,

Braunschweig²,

Lourenço³

et al. 2016

Ocean Sci.

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show abstract

“…Hazard maps represent the MEDSLIK-II outputs statistically based on historical variability of the meteooceanographic data over a long-term period (Liubartseva et al, 2015). This information can also be used for optimization in deployment of spill response equipment and training the response personnel.…”

Section: Hazard Modulementioning

confidence: 99%

Decision support system for emergency management of oil spill accidents in the Mediterranean Sea

Liubartseva

Coppini

Pinardi

et al. 2016

Nat. Hazards Earth Syst. Sci.

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Abstract. This paper presents an innovative web-based decision support system to facilitate emergency management in the case of oil spill accidents, called WITOIL (Where Is The Oil). The system can be applied to create a forecast of oil spill events, evaluate uncertainty of the predictions, and calculate hazards based on historical meteo-oceanographic datasets. To compute the oil transport and transformation, WITOIL uses the MEDSLIK-II oil spill model forced by operational meteo-oceanographic services. Results of the modeling are visualized through Google Maps. A special application for Android is designed to provide mobile access for competent authorities, technical and scientific institutions, and citizens.

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“…Ship-sourced oil pollution was often caused by ship accidents or excessive emissions resulting from the misconduct of the operators [5,6], and the amount of such operational pollution has recently increased [7]. According to oil droplet size, the oil droplets in the wastewater are divided into four categories: oil slick, dispersed oil, emulsified oil, and dissolved oil [8].…”

Section: Introductionmentioning

confidence: 99%

Treatment of Oil-Contaminated Water by Modified Polysilicate Aluminum Ferric Sulfate

You

Zhang

et al. 2018

Processes

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In this experiment, a variety of inorganic materials were simply compounded with Polysilicate Aluminum Ferric Sulfate (PSAFS) to treat emulsified oil-contaminated water. Manganese sulfate (MnSO 4 ), magnesium sulfate (MgSO 4 ), and zinc sulfate (ZnSO 4 ) were selected as the materials to modify PSAFS in order to obtain a coagulant with good flocculation performance. During the preparation of modified PSAFS, metal manganese, magnesium, and zinc were introduced for modification, and four factors were used to optimize the best proportion of modifiers and PSAFS. The results showed that the order of demulsification and oil-removal ability is as follows: Mn-PSAFS (Mn-modified PSAFS) > Zn-PSAFS (Zn-modified PSAFS) > Mg-PSAFS (Mg-modified PSAFS) > PSAFS. Modified PSAFS was characterized by infrared spectroscopy (IR) and a Scanning Electron Microscope (SEM). In the range of 604 cm −1 to 1200 cm −1 , due to the complexation reaction between metal ions and polysilicic acid, the absorption peaks of the modified PSAFS and PSAFS were significantly different. SEM results revealed that the particles of the spatial network structure were fibrous and arranged more closely (0.5 mm × 50.0 mm) than others. This study provided that the modified PSAFS had good potential application in treating emulsified oily wastewater in the future.

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Oil spill hazard from dispersal of oil along shipping lanes in the Southern Adriatic and Northern Ionian Seas

Cited by 59 publications

References 30 publications

Combining operational models and data into a dynamic vessel risk assessment tool for coastal regions

Combining operational models and data into a dynamic vessel risk assessment tool for coastal regions

Decision support system for emergency management of oil spill accidents in the Mediterranean Sea

Treatment of Oil-Contaminated Water by Modified Polysilicate Aluminum Ferric Sulfate

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