The influence of infragravity waves, wind, and basin resonance on vessel movements and related downtime at the Outer Port of Punta Langosteira, Spain

Costas, Raquel; Figuero, Andrés; Sande, José; Peña, Enrique; Guerra, Andrés

doi:10.1016/j.apor.2022.103370

Cited by 9 publications

(2 citation statements)

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“…There were eight operational downtime events (operability) and seven further ones which resulted in vessel evacuation from the berth (safety). These data were used in [28] for the analysis of the influence of various climatic variables. As in that study, the hours in which operations were suspended, together with the two hours prior to the evacuation of the vessel, are used to indicate the presence of the problems.…”

Section: Field Campaignmentioning

confidence: 99%

“…However, the problem here involves the interaction of various factors: met-ocean forcings, a moored floating body with six degrees of freedom (DoF), cargo handling, and the human factor (taking into account the subjectivity of the perception of danger). Recent research has highlighted the multivariate influence of downtime assessment, including infragravity waves [24,28]. It should be noted that movement restrictions and the human factor are not predictable, as both depend on personal perspectives.…”

Section: Introductionmentioning

confidence: 99%

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A Decision-Making Tool for Port Operations Based on Downtime Risk and Met-Ocean Conditions including Infragravity Wave Forecast

Costas

Carro

Figuero

et al. 2023

JMSE

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Port downtime leads to economic losses and reductions in safety levels. This problem is generally assessed in terms of uni-variable thresholds, despite its multidimensional nature. The aim of the present study is to develop a downtime probability forecasting tool, based on real problems at the Outer Port of Punta Langosteira (Spain), and including infragravity wave prediction. The combination of measurements from three pressure sensors and a tide gauge, together with machine-learning techniques, made it possible to generate long wave prognostication at different frequencies. A fitting correlation of 0.95 and 0.9 and a root mean squared error (RMSE) of 0.022 m and 0.012 m were achieved for gravity and infragravity waves, respectively. A wave hindcast in the berthing areas, met-ocean forecast data, and information on 15 real operational problems between 2017 and 2022, were all used to build a classification model for downtime probability estimation. The proposed use of this tool addresses the problems that arise when two consecutive sea states have thresholds above 3.97%. This is the limit for guaranteeing the safety of port operations and has a cost of just 0.6 unnecessary interruptions of operations per year. The methodology is easily exportable to other facilities for an adequate assessment of downtime risks.

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Section: Field Campaignmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%