Oil spill trajectory forecasting and backtracking using surface currents from high-frequency (HF) radar technology

Abascal, Ana J.; Castanedo, Sonia; Fernández, Vicente; Ferrer, M.I.; Medina, Raúl

doi:10.1109/oceans-spain.2011.6003575

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…Sea level data were obtained from the GOS reanalysis database of sea level for European waters (Abascal et al, 2010(Abascal et al, , 2011. Wind velocity and wind direction data were obtained from the SeaWind-ERA-Interim dataset of wind for North Europe waters and coastal seas (Menéndez et al, 2011(Menéndez et al, , 2013.…”

Section: Study Site and Datamentioning

confidence: 99%

Environmental risk analysis of oil handling facilities in port areas. Application to Tarragona harbor (NE Spain)

Valdor

Gómez

Puente

2015

Marine Pollution Bulletin

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Section: Study Site and Datamentioning

confidence: 99%

Environmental risk analysis of oil handling facilities in port areas. Application to Tarragona harbor (NE Spain)

Valdor

Gómez

Puente

2015

Marine Pollution Bulletin

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“…This slick is then subject to the forces of the surface currents. If the currents are strong, they can rapidly disperse the oil, spreading it over a larger area [3]. This can make the oil spill more difficult to contain and clean up.…”

Section: Introductionmentioning

confidence: 99%

Current dynamics to detect the spread of oil spills in coastal waters

Qauvani,

Irham,

Setiawan

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Surface flow dynamics modelling is an important aspect of monitoring and detecting oil spills in marine environments, especially coastal waters. The model can predict the spatiotemporal distribution of oil spills in waters before remote sensing technologies such as radar and synthetic aperture radar (SAR) detect the oil spill distribution range. The purpose of this study is to model two-dimensional (2D) surface flow to predict the extent of oil spills, especially in shallow water or coastal areas. The accuracy of this ocean current distribution model was then verified using the case of an oil spill in East Aceh waters based on the results of the detection of synthetic aperture Interference images from the Sentinel-2B satellite Radar (InSAR) Technology from August 1st to September 20th, 2021. The results show that when the fluid dynamics used is residual flow, the oil distribution trajectory moves partly to the north and partly to the south toward the coast of the leak location. However, when mean current is applied, the distribution expands to the south toward the coast. Based on the state of the wind distribution when the oil spill occurred, it shows the same direction as the residual current model, but the influence of the wind is greater than the residual current. So, it can be concluded that oil spills in the waters of East Aceh are more influenced by a combination of mean currents and surface wind direction. These results were validated by the results obtained from satellite images. Therefore, the satellite image validation results indicate that mean flow provide a more accurate indication of oil spill distribution than the average flow in South Aceh waters.

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“…HFSWR is regarded as perfect early warning radar. Nowadays, many military and civil fields adopted HFSWR, such as coastal surveillance and early warning, sea-state remote sensing [4], ocean surface pollution monitoring, marine environment monitoring, and resource development [5].…”

Section: Introductionmentioning

confidence: 99%

Stationary Time Statistical Property of Ionospheric Clutter in High-Frequency Surface-Wave Radar

Shang

Wang

et al. 2019

Journal of Electrical and Computer Engineering

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In HFSWR (high-frequency surface-wave radar) system, the detection performance is impacted seriously by ionospheric clutter. Frequency selection is an effective method to avoid the effect of ionospheric clutter. The key to the method is the stationarity of ionospheric clutter over a period of time. This paper mainly researches the stationary time statistical property of the ionospheric clutter. A large number of real data including ionospheric clutter in HFSWR are processed and analyzed. It shows that ionospheric clutter in HFSWR has the characteristics of approximate stationarity within a period of time.

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Oil spill trajectory forecasting and backtracking using surface currents from high-frequency (HF) radar technology

Cited by 9 publications

References 11 publications

Environmental risk analysis of oil handling facilities in port areas. Application to Tarragona harbor (NE Spain)

Environmental risk analysis of oil handling facilities in port areas. Application to Tarragona harbor (NE Spain)

Current dynamics to detect the spread of oil spills in coastal waters

Stationary Time Statistical Property of Ionospheric Clutter in High-Frequency Surface-Wave Radar

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