US Geological Survey, Leetown Science Center, S.O. Conte Anadromous Fish Research Laboratory, Turners Falls, MA, USA.
Lawrence LeBlanc Consulting, Conway, MA, USA.
Mar Pollut Bull. 2020 Apr;153:110956. doi: 10.1016/j.marpolbul.2020.110956. Epub 2020 Feb 20.
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.
本文旨在确定在评估水体人为污染程度时,贝类和沉积物中的污染物数据是否可以互换使用。为了充分覆盖整个缅因湾和芬迪湾,采集、分析了沉积物样本,并将其与来自四个沿海监测计划的类似数据进行了组合。这需要仔细解释,但提供了与已发表文献一致的可靠结果。研究发现,多环芳烃在贝类和沉积物中的浓度之间存在很强的相关性,多氯联苯的相关性为中等至弱,除汞和锌外,金属的相关性很小或没有。我们的结论是,在广泛的环境条件和污染物水平下,贝类污染物数据足以提供有关沿海水域化学污染物的时空分布信息,并且与沉积物不同,它们提供了有关污染物生物利用度的直接信息。