Monitoring chemical contaminants in the Gulf of Maine, using sediments and mussels (Mytilus edulis): An evaluation
| Autor: | Peter G. Wells, Lawrence A. LeBlanc, James S. Latimer, Adria A. Elskus, Gareth C. Harding, David S. Page |
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| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Geologic Sediments Mytilus edulis chemistry.chemical_element 010501 environmental sciences Aquatic Science Oceanography 01 natural sciences Anthropogenic pollution Chemical contaminants Animals Maine Polycyclic Aromatic Hydrocarbons 0105 earth and related environmental sciences Mytilus biology 010604 marine biology & hydrobiology fungi Sediment Mussel biology.organism_classification Polychlorinated Biphenyls Pollution Mercury (element) Water body chemistry Environmental chemistry Environmental science Bay Water Pollutants Chemical Environmental Monitoring |
| Zdroj: | Marine Pollution Bulletin. 153:110956 |
| ISSN: | 0025-326X |
| DOI: | 10.1016/j.marpolbul.2020.110956 |
| Popis: | The objective of this paper is to determine whether contaminant data on mussels and sediments can be used interchangeably, or not, when assessing the degree of anthropogenic contamination of a water body. To obtain adequate coverage of the entire Gulf of Maine, Bay of Fundy sediment samples were collected, analyzed and combined with similar data from four coastal monitoring programs. This required careful interpretation but provided robust results consistent with published literature. A strong correspondence was found between sediment and mussel concentrations for polycyclic aromatic hydrocarbons, moderate to weak correspondence for polychlorinated biphenyls, and except for mercury and zinc, little to no correspondence was found for metals. We conclude that mussel contaminant data are likely sufficient for providing information on the spatial and temporal distribution of chemical contaminants, in coastal waters, under a broad range of environmental conditions and contaminant levels, and unlike sediments, provide direct information on contaminant bioavailability. |
| Databáze: | OpenAIRE |
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