Oil pollution in the Eastern Arabian Sea from invisible sources: A multi-technique approach

Suneel, V.; Rao, V. Trinadha; Suresh, Gopika; Chaudhary, Aditya; Vethamony, P.; Ratheesh, R.

doi:10.1016/j.marpolbul.2019.07.015

Cited by 33 publications

(5 citation statements)

References 42 publications

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“…The oil spill incident occurred on January 28, 2017, but the sentinel-1 satellite passed through this spill region one day later, i. e the available sentinel image was on January 29, 2017 (ID: 29–01-2017-6D04). The image was obtained from the sentinel scientific data hub and processed through the sentinel toolbox (SNAP) using the image processing method 63 . Figure 9 is the final processed output shape file image overlaid on cLCSs, wherein the black colour dot indicates the spill origin.…”

Section: Resultsmentioning

confidence: 99%

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Extraction of persistent lagrangian coherent structures for the pollutant transport prediction in the Bay of Bengal

Trinadha Rao,

Suneel,

Gulakaram

et al. 2024

Sci Rep

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Lagrangian Coherent Structures (LCS) are the hidden fluid flow skeletons that provide meaningful information about the Lagrangian circulation. In this study, we computed the monthly climatological LCSs (cLCS) maps utilizing 24 years (1994–2017) of HYbrid Coordinate Ocean Model (HYCOM) currents and ECMWF re-analysis winds in the Bay of Bengal (BoB). The seasonal reversal of winds and associated reversal of currents makes the BoB dynamic. Therefore, we primarily aim to reveal the cLCSs associated with seasonal monsoon currents and mesoscale (eddies) processes over BoB. The simulated cLCS were augmented with the complex empirical orthogonal functions to confirm the dominant lagrangian transport pattern features better. The constructed cLCS patterns show a seasonal accumulation zone and the transport pattern of freshwater plumes along the coastal region of the BoB. We further validated with the satellite imagery of real-time oil spill dispersion and modelled oil spill trajectories that match well with the LCS patterns. In addition, the application of cLCSs to study the transport of hypothetical oil spills occurring at one of the active oil exploration sites (Krishna-Godavari basin) was described. Thus, demonstrated the accumulation zones in the BoB and confirmed that the persistent monthly cLCS maps are reasonably performing well for the trajectory prediction of pollutants such as oil spills. These maps will help to initiate mitigation measures in case of any occurrence of oil spills in the future.

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Section: Resultsmentioning

confidence: 99%

“…The best suitable GRD product covers an overall 250 km spatial length. The acquired satellite images are processed in the ESA-SNAP toolbox and QGIS to identify and group the oil spills according to their location 63 .…”

Section: Introductionmentioning

confidence: 99%

Extraction of persistent lagrangian coherent structures for the pollutant transport prediction in the Bay of Bengal

Trinadha Rao,

Suneel,

Gulakaram

et al. 2024

Sci Rep

Self Cite

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“…Studies have demonstrated the use of data from both active and passive satellite sensors to detect, map and monitor oil spills (Garcia-Pineda et al, 2017Akinwumiju et al, 2020;Bhangale et al, 2017;Pisano et al, 2015;Arellano et al, 2015). Synthetic Aperture Radar (SAR) beams are capable of interacting with physical surface of seawater and detect waves, ships, oil spills, or any physical object different from water surface (Ozigis et al, 2020;Suneel et al, 2019;Lang et al, 2017;Alpers et al, 2017). The dualpolarized (VV and HH) SAR C-band of Sentinel-1 is considered to be the most efficient tool to study oil spills (El-Magd et al, 2020;Xue et al, 2020;Bayramov et al, 2018;Prastyani and Basith, 2018;Stopa and Mouche, 2017).…”

Section: Introductionmentioning

confidence: 99%

Detection of Wakashio oil spill off Mauritius using Sentinel-1 and 2 data: Capability of sensors, image transformation methods and mapping

Rajendran

Vethamony

Sadooni

et al. 2021

Environmental Pollution

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“…Chaturvedi et al (2019) mentioned that SAR Sentinel-1 and other SAR data that have high resolution could be used to detect oil spills in different marine locations (Chaturvedi et al 2019). Furthermore, Suneel et al (2019) explored satellite data to identify oil leaks in the Arabian Sea and their correlation with the oceanographic conditions in the area (Suneel et al, 2019). In this context, the objective of this research was to use satellite SAR images to detect trajectories of the oil leakage produced by an oil platform in the Java Sea.…”

Section: Introductionmentioning

confidence: 99%

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

Abimanyu

Pranowo

Faizal

et al. 2021

GES

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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.

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Oil pollution in the Eastern Arabian Sea from invisible sources: A multi-technique approach

Cited by 33 publications

References 42 publications

Extraction of persistent lagrangian coherent structures for the pollutant transport prediction in the Bay of Bengal

Extraction of persistent lagrangian coherent structures for the pollutant transport prediction in the Bay of Bengal

Detection of Wakashio oil spill off Mauritius using Sentinel-1 and 2 data: Capability of sensors, image transformation methods and mapping

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

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