Marine snow formation and vertical transport are naturally occurring processes that carry organic matter from the surface to deeper waters, providing food and sequestering carbon. During the Deepwater Horizon well blowout, oil was incorporated with marine snow aggregates, triggering a Marine Oil Snow (MOS) Sedimentation and Flocculent Accumulation (MOSSFA) event, that transferred a significant percentage of the total released oil to the seafloor. An improved understanding of processes controlling MOS formation and MOSSFA events is necessary for evaluating their impacts on the fate of spilled oil. Numerical models and predictive tools capable of providing scientific support for oil spill planning, response, and Natural Resource Damage Assessment are being developed to provide information for weighing the ecological trade-offs of response options. Here we offer considerations for oil spill response and recovery when assessing the potential for a MOSSFA event and provide tools to enhance decision-making.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.marpolbul.2021.112025 | DOI Listing |
J Environ Manage
January 2025
State Key Laboratory of Heavy Oil Processing and Centre for Bioengineering and Biotechnology, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, China. Electronic address:
Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants with mutagenicity, carcinogenicity and teratogenicity, widely distributed in the environment. Effective biodegradation of PAHs is highly required, especially in wastewater. An efficient PAHs degrading strain Streptomyces sp.
View Article and Find Full Text PDFBackground: Household air pollution is a major contributor to cardiovascular disease burden in women in Sub-Saharan Africa. However, little is known about exposures during pregnancy or the effect of clean cooking interventions on postpartum blood pressure trajectories.
Methods: The Ghana Randomized Air Pollution and Health Study (GRAPHS) randomized 1414 non-smoking women in the first and second trimesters to liquefied petroleum gas (LPG) or improved biomass stoves - vs control (traditional three-stone open fire).
Mar Pollut Bull
January 2025
Universidade Federal de Pernambuco, Programa de Pós-Graduação em Biologia Animal, Center for Biosciences, Av. Prof. Morais Rêgo s/n, Recife, Pernambuco 50670-420, Brazil; Universidade Federal de Pernambuco, Department of Zoology, Center for Biosciences, Av. Prof. Morais Rêgo s/n, Recife, Pernambuco 50670-420, Brazil. Electronic address:
During the last half of 2019, the Northeast coast of Brazil suffered from an extensive oil spill of unknown origin, and marine organisms in those areas were subjected to significant impacts. In situations like this, the contaminant effects can persist for varying periods. Oil contaminants, such as polycyclic aromatic hydrocarbons (PAHs), generally reduce taxa's abundance and diversity in benthic communities in areas with greater exposure to chemical components.
View Article and Find Full Text PDFChemosphere
January 2025
Department of Agricultural Machinery Engineering, University of Tehran, Iran.
Soil oil pollution is a major environmental issue, especially in oil-producing nations, as it threatens the health of plants, animals, and humans. While bioremediation has been extensively utilized as a cost-effective method for restoring oil-contaminated soil, its environmental impact has garnered relatively little attention. Researchers often concentrate on reducing pollutant concentrations below permissible limits to restore soil quality.
View Article and Find Full Text PDFMar Pollut Bull
January 2025
JK Laxmipat University, Jaipur, Rajasthan, India.
Marine pollution due to oil spills presents major risks to coastal areas and aquatic life, leading to serious environmental health concerns. Oil Spill detection using SAR data has transitioned from traditional segmentation to a variety of machine learning & deep learning models like UNET proving its efficiency for the task. This research paper proposes a GSCAT-UNET model for efficient oil spill detection and discrimination from lookalikes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!