oil spill
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2022 ◽  
Vol 36 ◽  
pp. 100767
Author(s):  
Rengyu Yue ◽  
Chunjiang An ◽  
Zhibin Ye ◽  
Edward Owens ◽  
Elliott Taylor ◽  
...  

2022 ◽  
Vol 36 ◽  
pp. 100770
Author(s):  
Zhiwen Zhu ◽  
Xing Song ◽  
Yiqi Cao ◽  
Bing Chen ◽  
Kenneth Lee ◽  
...  
Keyword(s):  

Materials ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 609
Author(s):  
Marco Vocciante ◽  
Alessandra De Folly D’Auris ◽  
Andrea Pietro Reverberi

The performance of an innovative material based on expanded graphite, Grafysorber® G+ (Directa Plus), has been tested through laboratory, tank, and confinement tests for oil removal in case of an oil spill and water treatment. In addition to the ability to retain oil, the possibility of reusing this material after regeneration via squeezing was also evaluated. As a comparison, the same experimental tests were conducted using polypropylene flakes (PP), the material currently most used to deal with spill accidents. Oils with different chemical and physical properties were used, namely kerosene, diesel, and crude oil. From the laboratory tests, the capacity of Grafysorber® G+ to retain oil was found to be directly proportional to the viscosity of the latter, with adsorption values ranging from 76.8 g/g for diesel to 50.8 g/g for kerosene, confirming the potential of the innovative material compared to the PP. Cyclical use tests have confirmed certain reusability of the material, even if its adsorbent capacity decreases significantly after the first cycle and continues to decrease in subsequent cycles, but a less marked manner. Finally, some considerations based on the adsorption capacities were found to suggest that the adoption of the new material is also economically preferable, resulting in savings of 20 to 40% per kg of hydrocarbon treated.


2022 ◽  
Vol 131 (1) ◽  
Author(s):  
V Trinadha Rao ◽  
V Suneel ◽  
M J Alex ◽  
K Gurumoorthi ◽  
Antony P Thomas

2022 ◽  
Author(s):  
Samuel Katz ◽  
Haining Chen ◽  
David Fields ◽  
Erin Beirne ◽  
Phoebe Keyes ◽  
...  

Photoproducts can be formed rapidly in the initial phase of a marine oil spill. However, their toxicity is not well understood. In this study, oil was irradiated, chemically characterized, and tested for toxicity in three copepod species (A. tonsa, T. longicornis, C.finmarchicus). Irradiation led to a depletion of polycyclic aromatic hydrocarbons (PAHs) and n-alkanes in oil residues, along with an enrichment in aromatic and aliphatic oil photoproducts. Target lipid model-based calculations of PAH toxic units (TU-PAH) predicted that PAH toxicities were lower in water accommodated fractions (WAFs) of irradiated oil residues (“irradiated WAFs”) than in WAFs of dark-control samples (“dark WAFs”). In contrast, biomimetic extraction (BE) measurements showed increased bioaccumulation potential of irradiated WAFs compared to dark WAFs, mainly driven by photoproducts present in irradiated oil. In line with the BE results, copepod mortality increased in response to irradiated WAFs compared to dark WAFs. Low copepod toxicities were observed for WAFs produced with photooxidized oil slicks collected during the Deepwater Horizon oil spill. The results of this study suggest that while oil photoproducts have the potential to be a significant source of copepod toxicity, the water solubility of these products might mitigate their toxicity at sea.


Author(s):  
R. J. L. Argamosa ◽  
A. C. Blanco ◽  
R. B. Reyes

Abstract. A large oil spill in Iloilo Straight that occurred on July 3, 2020, as well as a possible deliberate, small but frequent oil spill and surfactant contamination in Manila Bay, were mapped. The method employs the Sentinel 2-1C image, which is transformed into principal components to reveal the presence of oil spills and possibly surfactants. Additionally, a gradient boosting algorithm was trained to discriminate between pixels that were contaminated with oil and those that were not. The multi-band image with three principal components with a 99% cumulative explained variance ratio highlights the occurrence of an oil spill in Iloilo Straight. Further, the classified image produced by pixel-based classification clearly distinguishes between water and oil pixels in the said area. The methodology was applied to a Sentinel 2-1C image of Manila Bay, with pixels observed/identified as oil and classified as well. The highest density of supposedly oil-contaminated pixels (large or small but frequent) was observed on the eastern side of Manila Bay (Bataan). While there were no documented oil spills concurrent to the satellite image used, historical reports on the area indicate that the likelihood of an oil spill is extremely high due to the massive amount of shipping activity. Pixels supposedly contaminated by oil spills also occur in areas near ports where oil spills could occur as a result of ship operations. Pixels with the same properties as oil contamination are also visible in areas adjacent to fishponds and aquaculture, where phytoplankton and fish contribute to surfactant contamination.


2022 ◽  
Vol 14 (2) ◽  
pp. 264
Author(s):  
Dawei Wang ◽  
Jianhua Wan ◽  
Shanwei Liu ◽  
Yanlong Chen ◽  
Muhammad Yasir ◽  
...  

Oil spill pollution at sea causes significant damage to marine ecosystems. Quad-polarimetric Synthetic Aperture Radar (SAR) has become an essential technology since it can provide polarization features for marine oil spill detection. Using deep learning models based on polarimetric features, oil spill detection can be achieved. However, there is insufficient feature extraction due to model depth, small reception field lend due to loss of target information, and fixed hyperparameter for models. The effect of oil spill detection is still incomplete or misclassified. To solve the above problems, we propose an improved deep learning model named BO-DRNet. The model can obtain a more sufficiently and fuller feature by ResNet-18 as the backbone in encoder of DeepLabv3+, and Bayesian Optimization (BO) was used to optimize the model’s hyperparameters. Experiments were conducted based on ten prominent polarimetric features were extracted from three quad-polarimetric SAR images obtained by RADARSAT-2. Experimental results show that compared with other deep learning models, BO-DRNet performs best with a mean accuracy of 74.69% and a mean dice of 0.8551. This paper provides a valuable tool to manage upcoming disasters effectively.


PeerJ ◽  
2022 ◽  
Vol 9 ◽  
pp. e12593
Author(s):  
Ashley M. McDonald ◽  
Charles W. Martin ◽  
Guillaume Rieucau ◽  
Brian J. Roberts

Estuarine ecosystem balance typically relies on strong food web interconnectedness dependent on a relatively low number of resident taxa, presenting a potential ecological vulnerability to extreme ecosystem disturbances. Following the Deepwater Horizon (DwH) oil spill disaster of the northern Gulf of Mexico (USA), numerous ecotoxicological studies showed severe species-level impacts of oil exposure on estuarine fish and invertebrates, yet post-spill surveys found little evidence for severe impacts to coastal populations, communities, or food webs. The acknowledgement that several confounding factors may have limited researchers’ abilities to detect negative ecosystem-level impacts following the DwH spill drives the need for direct testing of weathered oil exposure effects on estuarine residents with high trophic connectivity. Here, we describe an experiment that examined the influence of previous exposure to four weathered oil concentrations (control: 0.0 L oil m−2; low: 0.1 L oil m−2; moderate: 0.5–1 L oil m−2; high: 3.0 L oil m−2) on foraging rates of the ecologically important Gulf killifish (Fundulus grandis). Following exposure in oiled saltmarsh mesocosms, killifish were allowed to forage on grass shrimp (Palaeomonetes pugio) for up to 21 h. We found that previous exposure to the high oil treatment reduced killifish foraging rate by ~37% on average, compared with no oil control treatment. Previous exposure to the moderate oil treatment showed highly variable foraging rate responses, while low exposure treatment was similar to unexposed responses. Declining foraging rate responses to previous high weathered oil exposure suggests potential oil spill influence on energy transfer between saltmarsh and off-marsh systems. Additionally, foraging rate variability at the moderate level highlights the large degree of intraspecific variability for this sublethal response and indicates this concentration represents a potential threshold of oil exposure influence on killifish foraging. We also found that consumption of gravid vs non-gravid shrimp was not independent of prior oil exposure concentration, as high oil exposure treatment killifish consumed ~3× more gravid shrimp than expected. Our study findings highlight the sublethal effects of prior oil exposure on foraging abilities of ecologically valuable Gulf killifish at realistic oil exposure levels, suggesting that important trophic transfers of energy to off-marsh systems may have been impacted, at least in the short-term, by shoreline oiling at highly localized scales. This study provides support for further experimental testing of oil exposure effects on sublethal behavioral impacts of ecologically important estuarine species, due to the likelihood that some ecological ramifications of DwH on saltmarshes likely went undetected.


2022 ◽  
Author(s):  
Amalachukwu Ifeyinwa Obi ◽  
Vincent Ishmael Ajiwe

Abstract Oil spill remediation has continued to be a challenge in the world today. Thus efforts are still been made to develop more efficient oil spill mop up techniques. Natural adsorption with agricultural wastes, which otherwise constitute environmental pollution, has become an attractive technique for oil spill mop. Acetylation using acetic anhydride with iodine catalyst was carried out to improve the hydrophobicity of African oil bean seed pod (AOBSP), which is a lignocellulosic material and as such is naturally hydrophilic. Characterization of the raw and acetylated AOBSP were done using SEM, BET and FTIR analyses. Batch crude oil sorption tests were performed using both the raw and acetylated AOBSP. Isotherm, kinetic and thermodynamic studies were also carried out. FTIR analysis showed evidence of successful acetylation of AOBSP and adsorption of crude oil onto the raw and acetylated AOBSP. SEM and BET analyses showed improvement of the surface properties of AOBSP by the acetylation process. The BET surface area increased from 226.4 m2/g for the raw AOBSP to 310.0 m2/g for the acetylated AOBSP. Oil sorption was found to be by monolayer coverage, with monolayer sorption capacity of 5000mg/g and 12500mg/g for raw and acetylated AOBSP, respectively. The rate-controlling mechanism for the sorption processes was chemisorption. Negative values of ΔGo, ΔHo and ΔSo were obtained, showing that the sorption processes were feasible, spontaneous and exothermic, with a degree of orderliness at the solid–mixture interface. The results obtained from this study show that both raw and acetylated AOBSP are efficient oil sorbents with potentials for further improvement for oil spill mop.


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