Oil spill hazard assessment using a reverse trajectory method for the Egadi marine protected area (Central Mediterranean Sea)

Ciappa, Achille; Costabile, Salvatore

doi:10.1016/j.marpolbul.2014.05.044

Cited by 26 publications

(10 citation statements)

References 35 publications

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“…The independence of the destinations allows us to maximize the surface covered with a minimal identification of source stations. This is an important factor for the assessment of vulnerable points whose contamination can lead serious damages: for instance, for the protection of Marine Protected Areas (Rengstorf et al 2013;Ciappa and Costabile 2014) or hotspots of biological importance (Hobday and Pecl 2014), like a region with a recurrent bloom that sustains the local trophic chain (Lehahn et al 2007;Mongin et al 2008;d'Ovidio et al 2015). In those cases, it is central to determine the main sites upstream feeding the whole areas.…”

Section: Discussion and Perspectivesmentioning

confidence: 99%

Crossroads of the mesoscale circulation

Baudena

Ser‐Giacomi

López

et al. 2019

Journal of Marine Systems

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Quantifying the mechanisms of tracer dispersion in the ocean remains a central question in oceanography, for problems ranging from nutrient delivery to phytoplankton, to the early detection of contaminants. Until now, most of the analysis has been based on Lagrangian concepts of transport, often focusing on the identification of features that minimize fluid exchange among regions, or more recently, on network tools which focus instead on connectivity and transport pathways. Neither of these approaches, however, allows us to rank the geographical sites of major water passage, and at the same time, to select them so that they monitor waters coming from separate parts of the ocean. These are instead key criteria when deploying an observing network. Here we address this issue by estimating at any point the extent of the ocean surface which transits through it in a given time window. With such information we are able to rank the sites with major fluxes that intercept waters originating from different regions. We show that this allows us to optimize an observing network, where a set of sampling sites can be chosen for monitoring the largest flux of water dispersing out of a given region. When the analysis is performed backward in time, this method allows us to identify the major sources which feed a target region. The method is first applied to a minimalistic model of a mesoscale eddy field, and then to realistic satellite-derived ocean currents in the Kerguelen area. In this region we identify the optimal location of fixed stations capable of intercepting the trajectories of 43 surface drifters, along with statistics on the temporal persistence of the stations determined in this way. We then identify possible hotspots of micro-nutrient enrichment for the recurrent spring phytoplanktonic bloom occuring here. Promising applications to other fields, such as larval connectivity, marine spatial planning or contaminant detection, are then discussed. arXiv:1802.02743v4 [physics.ao-ph]

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Section: Discussion and Perspectivesmentioning

confidence: 99%

Crossroads of the mesoscale circulation

Baudena

Ser‐Giacomi

López

et al. 2019

Journal of Marine Systems

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“…Backward methods are widely adopted in atmospheric science to identify the source of a pollutant or to estimate substance emissions from potential emission sites; in the ocean, the backward technique has been successfully tested by Batchelder (2006) to investigate sources, destinations and transport pathways of plankton, and by Isobe et al (2009) to specify the source of drifting objects during a three months experiment in the East China Sea. Ciappa and Costabile (2014) used this technique to quantify the risk of oil pollution around a protected marine area in the Central Mediterranean Sea.…”

Section: Backtracking Numerical Modelmentioning

confidence: 99%

Backtrack modeling to locate the origin of tar balls depositing along the west coast of India

Suneel

Ciappa

Vethamony

2016

Science of The Total Environment

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“…Forward and backward trackings of oil particles in time can provide the future location of oil slicks and the source of an oil spill (Ciappa and Costabile 2014;Kim et al 2014;Suneel et al 2016;Tian et al 2017). This information is very useful for oil pollution response activities.…”

Section: Introductionmentioning

confidence: 99%

Application of synthetic aperture radar imagery for forward and backward tracking of oil slicks

Kim¹,

Yang²,

Ouchi³

2019

Terr. Atmos. Ocean. Sci.

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This paper presents a technique for tracking of oil slicks movement using synthetic aperture radar (SAR) and external force data with optimal coefficients. The detected oil from the SAR image is used as input data for tracking model, and wind and tidal current data are used as external forces to determine the displacement of oil slick. Forward and backward trackings were performed using a set of 4 SAR images observed at the time of the Hebei Spirit accident in 2007. The movement vectors are calculated using wind and tidal current with various coefficients. All tracking results show more than 56% accuracy. The new linear equations were calculated using coefficient values with the highest accuracy and velocity values of wind and tidal current. The modified equations were used to back-track from the satellite observation time to the accident occurrence time. The simulation results shows that most of the particles of the spread oil traced back around the point of the accident with little exceptions to some particles which shifted more than the oil spill. This is because the spill time of the particles are different from each other. Thus, the proposed method will contribute to the quick response activities and the estimation of location for the source of oil pollution.

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Oil spill hazard assessment using a reverse trajectory method for the Egadi marine protected area (Central Mediterranean Sea)

Cited by 26 publications

References 35 publications

Crossroads of the mesoscale circulation

Crossroads of the mesoscale circulation

Backtrack modeling to locate the origin of tar balls depositing along the west coast of India

Application of synthetic aperture radar imagery for forward and backward tracking of oil slicks

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