Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model†

IF 4.3 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL
Ingjerd S. Krogseth, Knut Breivik, Sylvia Frantzen, Bente M. Nilsen, Sabine Eckhardt, Therese H. Nøst and Frank Wania
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Abstract

There is concern over possible effects on ecosystems and humans from exposure to persistent organic pollutants (POPs) and chemicals with similar properties. The main objective of this study was to develop, evaluate, and apply the Nested Exposure Model (NEM) designed to simulate the link between global emissions and resulting ecosystem exposure while accounting for variation in time and space. NEM, using environmental and biological data, global emissions, and physicochemical properties as input, was used to estimate PCB-153 concentrations in seawater and biota of the Norwegian marine environment from 1930 to 2020. These concentrations were compared to measured concentrations in (i) seawater, (ii) an Arctic marine food web comprising zooplankton, fish and marine mammals, and (iii) Atlantic herring (Clupea harengus) and Atlantic cod (Gadus morhua) from large baseline studies and monitoring programs. NEM reproduced PCB-153 concentrations in seawater, the Arctic food web, and Norwegian fish within a factor of 0.1–31, 0.14–3.1, and 0.09–21, respectively. The model also successfully reproduced measured trophic magnification factors for PCB-153 at Svalbard as well as geographical variations in PCB-153 burden in Atlantic cod between the Skagerrak, North Sea, Norwegian Sea, and Barents Sea, but estimated a steeper decline in PCB-153 concentration in herring and cod during the last decades than observed. Using the evaluated model with various emission scenarios showed the important contribution of European and global primary emissions for the PCB-153 load in fish from Norwegian marine offshore areas.

Abstract Image

Abstract Image

使用嵌套暴露模型对北方生态系统中跨时间、空间和物种的PCB-153进行建模。
人们担心接触持久性有机污染物和具有类似性质的化学品可能对生态系统和人类产生影响。本研究的主要目的是开发、评估和应用嵌套暴露模型(NEM),该模型旨在模拟全球排放和由此产生的生态系统暴露之间的联系,同时考虑时间和空间的变化。NEM利用环境和生物数据、全球排放量和物理化学特性作为输入,用于估计1930年至2020年挪威海洋环境的海水和生物群中PCB-153的浓度。将这些浓度与大型基线研究和监测项目中(i)海水、(ii)由浮游动物、鱼类和海洋哺乳动物组成的北极海洋食物网以及(iii)大西洋鲱鱼(Clupea harengus)和大西洋鳕鱼(Gadus morhua)的测得浓度进行了比较。NEM在海水、北极食物网和挪威鱼类中的PCB-153浓度分别为0.1-31、0.14-3.1和0.09-21。该模型还成功地再现了斯瓦尔巴群岛PCB-153的营养放大因子测量值,以及斯卡格拉克、北海、挪威海和巴伦支海之间大西洋鳕鱼PCB-153负荷的地理变化,但估计在过去几十年中,鲱鱼和鳕鱼中PCB-153浓度的下降幅度比观察到的要大。使用具有各种排放情景的评估模型显示了欧洲和全球初级排放对挪威近海鱼类PCB-153负荷的重要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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