Scientific management of Mediterranean coastal zone: A hybrid ocean forecasting system for oil spill and search and rescue operations

Jordi, Antoni; Ferrer, M.I.; Vizoso, Guillermo; Orfila, Alejandro; Basterretxea, Gotzon; Casas, Benjamín; Álvarez, Alberto; Roig, D.; Garau, Bartolomé; Martínez, Manuel Sánchez; Fernández, Vicente; Fornés, Alícia; Ruiz, Maurici; Fornós, Joan J.; Balaguer, Pau; Duarte, Carlos M.; Rodríguez, Inés González; Onken, Reiner; Orfila, P.; Tintoré, Joaquı́n

doi:10.1016/j.marpolbul.2005.10.008

Cited by 40 publications

(23 citation statements)

References 31 publications

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“…Near-coastal currents contribute significantly to the mixing of coastal waters with the open sea. In the coastal zone and semi-enclosed seas, transport by surface currents are even more important due to the variety of flotsam and jetsam, like debris, pollutants, oil spills, persons lost at sea, etc., encountered in the vicinity of populated coasts and highly navigated areas (Jordi et al, 2006;Davidson et al, 2009). Ocean currents also play a major role for the transport of eggs and larvae (Hare et al, 2002), and can have a significant effect on marine animal migration patterns (for instance for turtles in the Mediterranean, Hays et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Transit and residence times in the Adriatic Sea surface as derived from drifter data and Lagrangian numerical simulations

Poulain

Hariri

2013

Ocean Sci.

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Abstract. Statistics of transit and residence times in the Adriatic Sea surface, a semi-enclosed basin of the Mediterranean, are estimated from drifter data and Lagrangian numerical simulations. The results obtained from the drifters are generally underestimated given their short operating lifetimes (half life of ∼ 40 days) compared to the transit and residence times. This bias can be removed by considering a large amount of numerical particles whose trajectories are integrated over a long time (750 days) with a statistical advection-dispersion model of the Adriatic surface circulation. Numerical particles indicate that the maximum transit time to exit the basin is about 216-260 days for particles released near the northern tip of the Adriatic, and that a particle entering on the eastern Otranto Channel will typically exit on the other side of the channel after 170-185 days. A duration of 150-168 days is estimated as the residence time in the Adriatic Basin.

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Section: Introductionmentioning

confidence: 99%

Transit and residence times in the Adriatic Sea surface as derived from drifter data and Lagrangian numerical simulations

Poulain

Hariri

2013

Ocean Sci.

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“…Ultimately, the T/V Prestige spill precipitated the birth of operational oceanography in Spain, and new interactions between scientists and political decision makers, Jordi et al [3]. The successful results obtained were recognized at all levels (scientific, social, economical, etc), precipitating the beginning of today"s ongoing work in Spain in Operational Oceanography which is discussed in Jordi et al [3], Alvarez-Fanjul [1] or more recently Onken et al [5].…”

Section: Resultsmentioning

confidence: 99%

Observations as Assets in Decision Support

Beegle-Krause¹

2010

Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society

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Natural disaster mitigation, maritime accident response (e.g. oil spills such as the Prestige in Spain), maritime Search and Rescue (SAR) operations, and protecting the public during Harmful Algal Bloom (HAB) outbreaks all share the common need: decision makers responsible for managing the incident require available reliable information, particularly observations of ocean and coastal conditions. Examples for SAR, oil spill response, port operations and HAB forecasting are explored to identify key aspects of observational systems. Design of an observational network should consider these end-user needs:

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“…changing oil by any other kind of contamination) the system would need to be completely redone. Hybrid models can forecast trajectories and evaluate possible risks after an oil spill [29] by combining modelling techniques that can help to predict the behaviour of the ocean and the spills in a certain area, and GIS systems (Geographic Information Systems) that may help to visualize the evolution of the spill and the possible solutions to be applied.…”

Section: Existing Modelsmentioning

confidence: 99%

“…Several forecasting models have been applied to specific geographical zones, where the oceanic behaviour is quite unusual [42], but there does not exist a generic model, such as the one presented in this study, that can be applied in any open ocean region. Hybrid models can use both data and knowledge to forecast trajectories and evaluate possible risks after an oil spill [29]. The hybrid intelligent system proposed in this research incorporates a new ensemble summarization algorithm.…”

Section: Introductionmentioning

confidence: 99%

A forecasting solution to the oil spill problem based on a hybrid intelligent system

Baruque

Corchado

Mata

et al. 2010

Information Sciences

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a b s t r a c tOil spills represent one of the most destructive environmental disasters. Predicting the possibility of finding oil slicks in a certain area after an oil spill can be critical in reducing environmental risks. The system presented here uses the Case-Based Reasoning (CBR) methodology to forecast the presence or absence of oil slicks in certain open sea areas after an oil spill. CBR is a computational methodology designed to generate solutions to certain problems by analysing previous solutions given to previously solved problems. The proposed CBR system includes a novel network for data classification and retrieval. This type of network, which is constructed by using an algorithm to summarize the results of an ensemble of Self-Organizing Maps, is explained and analysed in the present study. The Weighted Voting Superposition (WeVoS) algorithm mainly aims to achieve the best topographically ordered representation of a dataset in the map. This study shows how the proposed system, called WeVoS-CBR, uses information such as salinity, temperature, pressure, number and area of the slicks, obtained from various satellites to accurately predict the presence of oil slicks in the north-west of the Galician coast, using historical data.

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Scientific management of Mediterranean coastal zone: A hybrid ocean forecasting system for oil spill and search and rescue operations

Cited by 40 publications

References 31 publications

Transit and residence times in the Adriatic Sea surface as derived from drifter data and Lagrangian numerical simulations

Transit and residence times in the Adriatic Sea surface as derived from drifter data and Lagrangian numerical simulations

Observations as Assets in Decision Support

A forecasting solution to the oil spill problem based on a hybrid intelligent system

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