Monitoring oil spill hotspots, contamination probability modelling and assessment of coastal impacts in the Caspian Sea using SENTINEL-1, LANDSAT-8, RADARSAT, ENVISAT and ERS satellite sensors

Bayramov, Emil; Kada, Martin; Buchroithner, Manfred

doi:10.1080/1755876x.2018.1438343

Cited by 27 publications

(28 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In OSCAR, the oil reaches the surface almost immediately via the plume, thus OSCAR generally predicts surfacing to occur furthest downstream. In addition, OSCAR has been widely applied in oil spill risk evaluation and for response planning and operations [121] and for numerous hindcasts and predictions of oil spill accidents in the Northern and Baltic Sea, Gulf of Mexico, Mediterranean Sea [272,273], and in the Caspian Sea [274]. Further effort to upgrade the OSCAR model has been provided by Nordam et al [275].…”

Section: Models Performance Against Field Datamentioning

confidence: 99%

Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges

Keramea

Spanoudaki

Zodiatis

et al. 2021

JMSE

145

View full text Add to dashboard Cite

Several oil spill simulation models exist in the literature, which are used worldwide to simulate the evolution of an oil slick created from marine traffic, petroleum production, or other sources. These models may range from simple parametric calculations to advanced, new-generation, operational, three-dimensional numerical models, coupled to meteorological, hydrodynamic, and wave models, forecasting in high-resolution and with high precision the transport and fate of oil. This study presents a review of the transport and oil weathering processes and their parameterization and critically examines eighteen state-of-the-art oil spill models in terms of their capacity (a) to simulate these processes, (b) to consider oil released from surface or submerged sources, (c) to assimilate real-time field data for model initiation and forcing, and (d) to assess uncertainty in the produced predictions. Based on our review, the most common oil weathering processes involved are spreading, advection, diffusion, evaporation, emulsification, and dispersion. The majority of existing oil spill models do not consider significant physical processes, such as oil dissolution, photo-oxidation, biodegradation, and vertical mixing. Moreover, timely response to oil spills is lacking in the new generation of oil spill models. Further improvements in oil spill modeling should emphasize more comprehensive parametrization of oil dissolution, biodegradation, entrainment, and prediction of oil particles size distribution following wave action and well blow outs.

show abstract

Section: Models Performance Against Field Datamentioning

confidence: 99%

Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges

Keramea

Spanoudaki

Zodiatis

et al. 2021

JMSE

145

View full text Add to dashboard Cite

show abstract

“…To prevent a broader impact of oil spreading, nowadays experts use satellite images on small to large scale cases (Bayramov et al 2018;Brekke & Solberg 2005;Fiscella et al 2000;Kolokoussis & Karathanassi 2018;Solberg et al 2007). Remote sensing data are becoming more accessible recently and some of it can be applied to detect oil spills (Harahsheh 2016).…”

Section: Introductionmentioning

confidence: 99%

Reconstruction Of Oil Spill Trajectory In The Java Sea, Indonesia Using Sar Imagery

Abimanyu

Pranowo

Faizal

et al. 2021

GES

View full text Add to dashboard Cite

Oil spill phenomena in the ocean possess a very serious threat to ocean health. On the ocean surface, oil slicks immediately start to spread and mostly end up in the ecosystem. Furthermore, it could threaten the organisms living in the ocean or impact nearby coastal area. The aim of this research was to investigate the trajectories of oil spill based on a real accident in the Java Sea. Tracking oil spills using satellite images is an efficient method that provides valuable information about trajectories, locations and the spread intensity. The objective of this study was to periodically track the trajectory of the oil spill from the Karawang incident using Sentinel-1 Synthetic Aperture Radar (SAR) images. Pre-processing of the images consisted of radiometric and geometric corrections. After the corrections, SAR images were mapped and plotted accordingly. To understand the oil spill trajectories in relation to the oceanic processes, the ocean current pattern map and surface wind roses were also analysed. The processed images from July to October 2019 show a trajectory dominated by the oil spill layers movement towards the west to northwest from the original location along with a decrease in the detected oil spill area over time. The identified trajectories of the oil spill followed the ocean current pattern and surface winds. Thus, these two parameters were considered to be the main factors responsible for the oil spill drift.

show abstract

“…Therefore, systematic and global applications of satellite images can help locate natural oil seeps and improve estimates of seepage rates into the oceans (Hu et al 2009). It is also possible to distinguish between anthropogenic oil spills, natural seepage slicks and look-alikes using semi-automatic discrimination and visual inspection of detected dark spots (Bayramov et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Detection of Oil Slicks in the Adriatic Sea (Mediterranean) Using Satellite SAR Imagery

Oluic¹,

Morović²,

Иванов³

2020

AJTE

View full text Add to dashboard Cite

The goal of this paper was the detection and mapping of oil slicks in the Adriatic Sea (Mediterranean) related to bottom seeps, using a series of 34 Envisat and Radarsat-2 SAR images from the period 2003-2013. The images were analyzed using SCANEX' web-GIS GeoMixer tool. The registered oil slicks were sorted by years and by categories, indicating natural seeps with high, mid or low probability. The recurrent slicks at some places are sings of natural seepage phenomena and generally correspond to areas where crude oil may leak from seabed seeps, in accordance with tectonic and seismic information revealed.

show abstract

Monitoring oil spill hotspots, contamination probability modelling and assessment of coastal impacts in the Caspian Sea using SENTINEL-1, LANDSAT-8, RADARSAT, ENVISAT and ERS satellite sensors

Cited by 27 publications

References 30 publications

Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges

Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges

Reconstruction Of Oil Spill Trajectory In The Java Sea, Indonesia Using Sar Imagery

Detection of Oil Slicks in the Adriatic Sea (Mediterranean) Using Satellite SAR Imagery

Contact Info

Product

Resources

About