State-of-the-Art Techniques in Oil Spill Modeling

Cekirge, H.M.; Koch, Manfred; Long, Chris; Giammona, C.P.; Binkley, K.; Engelhardt, R.; Jamail, Robin

doi:10.7901/2169-3358-1995-1-67

Cited by 17 publications

(7 citation statements)

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“…Oil spills need close observation to predict their movement, spreading, and drift [17], [18], among other environmental considerations. Given the dimensions of the affected region at a given time, a UWSN arrangement can be derived to enclose and monitor the incident in situ, and relay data in real time.…”

Section: A Typical Application In the Domain Of Militarymentioning

confidence: 99%

Genetic algorithm based optimization technique for underwater sensor network positioning and deployment

Iyer

Rao

2015

2015 IEEE Underwater Technology (UT)

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Underwater acoustic sensor networks (UWSNs) are crucial for a multitude of underwater applications that require wireless operation. The deployment of sensor nodes in an optimal arrangement while overcoming the unique challenges posed by the surrounding medium and energy constraints on the sensors is a non-trivial task for real-world applications. As these characteristics are anisotropic with respect to change in temperature, salinity, depth, pH, and transmission frequency, they need to be accounted for in a dynamic simulation to preconfigure a stable physical network layout of nodes. A strategy based on computational intelligence techniques that takes into consideration these factors to achieve a viable configuration with the available resources is of prime importance. The proposed methodology uses a genetic algorithm (GA) based optimization technique for the positioning and deployment of UWSN nodes to maximize the coverage provided to protect a high-value asset (HVA) in a military application. In the case of a civil application for ocean monitoring, the proposed technique is used to identify the minimum number of nodes required and their positions for effective communication.

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Section: A Typical Application In the Domain Of Militarymentioning

confidence: 99%

Genetic algorithm based optimization technique for underwater sensor network positioning and deployment

Iyer

Rao

2015

2015 IEEE Underwater Technology (UT)

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“…A great number of oil spill models have been developed in the last decades (see the recent reviews [1][2][3]). …”

Section: Physical Model Descriptionmentioning

confidence: 99%

Simulation of oil spill behaviour and response operations in PISCES

Delgado¹,

Kumzerova²,

Мартынов³

2006

WIT Transactions on Ecology and the Environment, Vol 88

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The aim of this paper is to present a novel method of numerical simulation of oil spill behaviour in the conditions of human response.The main point of the method is to extend the Lagrangian approach by introducing interactions between oil particles. This innovation allows some essential disadvantages of the traditional Lagrangian method to be compensated, in particular the impossibility of describing oil interaction with different kinds of natural and artificial barriers like coastlines and booms. The tuning of the interparticle interaction was made via multi-stage parametric optimization with the aid of the alternating-variable descent technique, and includes the verification with known semi-empirical solutions as well as with different logical tests.The model takes into account the main physicochemical processes occurring in the oil slick, which include evaporation, dispersion, emulsification and viscosity variation. Simulation is carried out with regard to the following environment factors: coastline, field of currents, weather, sea state, ice conditions and environmentally sensitive areas. In addition, models of response resource application including booming and recovery have been developed.The presented technique is used as model part of the PISCES (Potential Incident Simulation Control and Evaluation System) oil spill simulator produced by TRANSAS and designed for planning spill recovery after accidental marine oil spills.

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“…Le modèle d'étalement de Fay (Fay, 1971) est l'un des plus utilisés (ASCE, 1996 ;Cekirge et al, 1995 ;Spaulding, 1997). Il sépare l'étalement en trois phases.…”

Section: Le Modèle De Dérive Développé Par Météo-franceunclassified

Modélisation de la dérive des nappes d'hydrocarbures en mer

Daniel¹

1997

Météorologie

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En cas de pollution marine par des hydrocarbures, Météo-France fournit une assistance aux autorités chargées de la lutte en mer. Son action s'exerce au niveau national dans le cadre du plan Polmar-mer, ainsi qu'au niveau international dans le cadre du Système d'intervention d'urgence en cas de pollution de la mer (SIUPM) de l'Organisation météorologique mondiale. C'est pour mieux répondre à ces engagements qu'un modèle simulant l'évolution des nappes d'hydrocarbures en mer a été développé. La dérive de la nappe est simulée par un modèle d'océan forcé par les champs de vent issus du modèle atmosphérique du Centre européen pour les prévisions météorologiques à moyen terme. La marée est prise en compte en Manche et dans le golfe de Gascogne. L'étalement de la nappe est modélisé sous la forme d'une dispersion des particules par le cisaillement de courant près de la surface et par les processus de flottabilité et de diffusion turbulente. Ce modèle a été validé sur plusieurs cas bien documentés : Torrey Canyon (1967), Amoco Cadiz (1978), Tanio (1980), guerre du Golfe (1991), Aegean Sea (1992). Il est opérationnel depuis février 1994 et peut être activé à la demande sur n'importe quelle région du globe. Il a été utilisé opérationnellement, avec succès, lors d'un accident au large du Portugal en décembre 1994 ainsi que lors de l'accident du Sea Empress au pays de Galles en février 1996. De nouveaux développements et des exercices sont menés conjointement avec le Cedre (Centre de documentation, de recherche et d'expérimentations sur les pollutions accidentelles des eaux). Modelling the spread of oil pollution in the sea Météo-France has national and international responsibilities to agencies fighting marine oil pollution; the Préfet Maritime may ask for help if oil threatens the French coast. Météo-France is also in the Marine Pollution Emergency Response Support System (MPERSS) of the World Meteorological Organisation (WMO). Because of these commitments, Météo-France has developed an oil spill response model designed to simulate the transport of oil in three dimensions. The model ocean is forced by the wind and sea-level pressure forecasts from the European Centre for Medium-range Weather Forecasts (ECMWF). Tidal forcing is included in the English Channel and the Bay of Biscay; the oil is dispersed by current shear, vertical movements and turbulent diffusion. This system is applicable anywhere in the world (with a coarser resolution far from the French coastline) and has been operational since February 1994. It was validated on a few well serious incidents and it was tested twice in real-time. New developments, exercises and training are conducted jointly with the collaboration of CEDRE (Centre de Documentation, de Recherche et d'Expérimentations sur les pollutions accidentelles des eaux).

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State-of-the-Art Techniques in Oil Spill Modeling

Cited by 17 publications

References 0 publications

Genetic algorithm based optimization technique for underwater sensor network positioning and deployment

Genetic algorithm based optimization technique for underwater sensor network positioning and deployment

Simulation of oil spill behaviour and response operations in PISCES

Modélisation de la dérive des nappes d'hydrocarbures en mer

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