The recycling longevity of hydrophobic organic contaminants (HOCs) within the global environment is set by their permanent removal through processes such as degradation and burial in geological reservoirs. More than 90% of the global sediment burial of organic carbon (OC) occurs on the continental shelves, representing < 10% of the earth's ocean area. The propensity of HOCs to associate with organic matter, and the proximity of most population centers and thus presumed source areas to coastal regions, led us to investigate shelf sediments as a depository of significance for global HOC budgets. Here, the global inventory and burial fluxes of polychlorinated biphenyls (PCBs) in continental shelf sediments were estimated on a congener-specific basis from a database of 4214 distinct continental shelf surface sediment samples. To account for near-urban sampling bias, the locations of each datum relative to nearest population center were classified as Local (< 1 km), Regional (1-10 km), or Remote (> 10 km), according to a comprehensive vector map of the world (Digital Chart of the World) in a GIS environment. The global inventory of, for instance, PCB congener 153 was 1200 ton (95% confidence limit maximum: 2100 ton; and minimum 720 ton). The Remote sub-basin of the North Atlantic contains approximately half of the global shelf sediment inventory for most of the PCB congeners studied. The shelf sediment inventories of individual PCB congeners constitute significant fractions of their recently updated cumulative historical global emissions estimates. The estimated inventory in the shelf corresponds to about 10% of maximum emission estimates for lower-chlorinated congeners. However, for the more bioaccumulable, higher-chlorinated, congeners the shelf reservoirs appear to account for up to 80% of the estimated maximum cumulative global emissions. These shelf inventories represent 1-6% of the global industrial production of PCBs. The global burial fluxes were estimated to be on the order of 8-24 ton/yr each for the eight major congeners investigated, again, with the shelf constituting a more significant removal sink of the more chlorinated congeners. The permanent removal into deeper shelf sediments of PCB153 and PCB180 suggests that the global environmental mean residence times of these pollutants are on the order of 110 and 70 years, respectively. Hence, even after production and direct releases have been halted, we may expect to be exposed to such persistent pollutants for decades and centuries to come.
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http://dx.doi.org/10.1021/es0201404 | DOI Listing |
Mar Environ Res
January 2025
Université de Bordeaux, CNRS Bordeaux INP, EPOC, UMR 5805, F-33600, Pessac, France.
The western Indian continental shelf (eastern Arabian Sea) exhibits contrasting biogeochemical features. This area becomes highly productive due to summer monsoon-driven coastal upwelling in the south and winter monsoon-induced convective mixing in the north. Additionally, in the northern self, the eastern boundary of the Oxygen Minimum Zone (OMZ) persists but is absent in the south.
View Article and Find Full Text PDFSci Total Environ
January 2025
Universidade Federal do Pará, Programa de Pós-Graduação em Geologia e Geoquímica, Rua Augusto Corrêa, 1, Campus Guamá, PA 66075-110 Belém, Pará, Brazil.
The knowledge of metals concentration in upwelling areas are a concern due the higher productivity of these areas In Cabo Frio Upwelling-Downwelling System (CFUS) is high primary productivity area and has been identified as an Hg hotspot to biota in SE Brazil that has been susceptible to Hg inputs, due to growing industrialization in the region. To investigate the concentration of Hg and Se metals, as well as the trophic transfer of these metals, the present study investigated Hg and Se concentrations in 64 samples collected in net mesh of >20, >64, >150 and >300 μm, in 2012, in the region's water masses. Higher mean Hg concentrations were found in zooplankton, 0.
View Article and Find Full Text PDFMar Pollut Bull
December 2024
National Institute of Oceanography and Fisheries, NIOF, Cairo, Egypt. Electronic address:
Background: The highly industrialized areas characterize the delta coasts of the world, due to the discharging of large quantity of wastewater into the river estuaries. The entrance of phenolic compounds and PAHs into the aquatic environment has not been sufficiently studied on the Egyptian Mediterranean coast. The article examines the content and ecological risks associated with 11 phenolic compounds and 14 PAHs in the bottom sediments of the Nile River estuaries, the largest river systems that discharged into the Mediterranean Sea.
View Article and Find Full Text PDFSci Total Environ
January 2025
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, HGF-MPG Joint Research Group for Deep-Sea Ecology and Technology, Am Handelshafen 12, 27570 Bremerhaven, Germany.
Microplastic (MP) pollution has reached the remotest areas of the globe, including the polar regions. In the Arctic Ocean, MPs have been detected in ice, snow, water, sediment, and biota, but their temporal dynamics remain poorly understood. To better understand the transport pathways and drivers of MP pollution in this fragile environment, this study aims to assess MPs (≥ 11 μm) in sediment trap samples collected at the HAUSGARTEN observatory (Fram Strait) from September 2019 to July 2021.
View Article and Find Full Text PDFJ Acoust Soc Am
December 2024
Naval Physical and Oceanographic Laboratory, Defence Research and Development Organisation, Thrikkakara P. O., Kochi, Kerala 682021, India.
An acoustic propagation experiment was conducted in the western continental shelf of India (off Kollam, Kerala) in water depth of ∼71 m with seafloor consisting of hard sandy sediments. The multipath arrival times are obtained from peaks in acoustic impulse response measurements made on a single hydrophone for two source-receiver ranges of 245 m and 320 m. The arrival times are used for inverting the water column sound speed profile (SSP) utilizing the empirical orthogonal functions (EOFs), which can completely describe large datasets.
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