Numerical reconstruction of trajectory of small-size surface drifter in the Mediterranean sea

Shchekinova, Elena; Kumkar, Yogesh; Coppini, Giovanni

doi:10.1007/s10236-015-0916-9

Cited by 9 publications

(9 citation statements)

References 11 publications

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“…Further development that regards leeway direction was analyzed in [16], while in [17] the OCEAN-SAR decision support system was defined. The system is based on the leeway model and it uses wind condition and weather forecast as input data [18]. If it is known where and when the accident happened, it is possible to display the area where the person or the ship might currently be considering the weather conditions that occurred in the meantime.…”

Section: Analysis Of Duty To Save Lives At Seamentioning

confidence: 99%

Overview of the Development of the Maritime Search and Rescue System in Croatia

Medić

Gudelj

Kavran

2019

PROMET

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According to the Convention for the Safety of Life at Sea and International Convention on Maritime Search and Rescue, saving human lives at sea is the duty of all signatory states. This paper analyzes and gives an overview of previous research activities in search and rescue system at sea and how the use of unmanned aerial vehicles (UAV) can improve search and rescue actions at sea. Research activities include development of the search system and placement of resources that are used in search and rescue actions (ships, planes etc.). Previous research is mainly related to minimizing response time when accidents at sea are detected in relation to search and rescue missions. Implementation of unmanned aerial vehicles into the search and rescue system enables improvement of these actions due to earlier detection and verification of accidents at sea and prevents unnecessary search and rescue units engagement in cases when an accident did not occur. The results of previous research point to the fact that future research should aim to explore the synthesis of unmanned aerial vehicles with the existing search and rescue system at sea in Croatia.

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Section: Analysis Of Duty To Save Lives At Seamentioning

confidence: 99%

Overview of the Development of the Maritime Search and Rescue System in Croatia

Medić

Gudelj

Kavran

2019

PROMET

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“…Вектора ДвПС для каждого члена ансамбля получают из уравнений парной линейной регрессии для составляющих скорости ДвПС по направлению обратного курса ветра L d и бокового смещения вправо L +с и влево L -с соответственно. Для каждого члена ансамбля с учетом случайных возмущений коэффициента ДвПС имеют место следующие выражения для расчета скорости ДвПС [20]- [22]:…”

Section: рис 5 район поиска по методике морского университета в г unclassified

Review of Search and Rescue Drifting Object at Sea Possible Location Estimation Techniques

Selezen¹

2019

Vestnik GUMRF imeni admirala S. O. Makarova

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“…Commonly, research on maritime SAR can be divided into the following two groups [11]: operational support [12][13][14][15] and strategic planning [16][17][18]. The former concerns methods where real-time SAR operations are supported by computational methods, e.g., to detect a missing object at sea in the minimum possible time [11]; the latter concerns strategic planning that aim to evaluate the overall performance of the SAR response system, e.g., to obtain maximal coverage of a sea area with the minimum required number of rescue units [18].…”

Section: Introductionmentioning

confidence: 99%

Integrating Island Spatial Information and Integer Optimization for Locating Maritime Search and Rescue Bases: A Case Study in the South China Sea

Zhou

Cheng

Zhang

et al. 2019

IJGI

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Maritime search and rescue (SAR) operations are critical for ensuring safety at sea. Islands have been considered as feasible solutions for the construction of new maritime SAR bases to improve the capacity of SAR operations in remote sea areas. This paper proposes a new framework, based on island spatial information, for determining the optimal locations for maritime SAR bases. The framework comprises four steps. First, candidate islands for the construction of maritime SAR bases are selected. Second, the potential rescue demand is estimated by employing ship location data and marine incident data. In the third step, the response time from candidate islands to any site at sea is calculated, with explicit consideration of the impact of sea conditions on the ship’s speed. Fourth, the final island locations are proposed by solving the maximal covering location problem (MCLP). The proposed framework was applied to the South China Sea. The results showed that there would be a decrease of 1.09 h in terms of the mean access time for the South China Sea if the six selected island bases were constructed, whilst the primary coverage increased from 62.63% to 80.02% when using a 6-hour threshold. This new framework is expected to contribute to improvements in safety at sea and should be applicable to any sea area where the construction of island rescue bases is being considered.

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Numerical reconstruction of trajectory of small-size surface drifter in the Mediterranean sea

Cited by 9 publications

References 11 publications

Overview of the Development of the Maritime Search and Rescue System in Croatia

Overview of the Development of the Maritime Search and Rescue System in Croatia

Review of Search and Rescue Drifting Object at Sea Possible Location Estimation Techniques

Integrating Island Spatial Information and Integer Optimization for Locating Maritime Search and Rescue Bases: A Case Study in the South China Sea

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