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波罗的海食物网中多氯联苯生物累积的建模

Modelling PCB bioaccumulation in a Baltic food web.

作者信息

Nfon Erick, Cousins Ian T

机构信息

Department of Applied Environmental Science, Unit for Environmental Toxicology and Environmental Chemistry, Frescativägen 50, Stockholm University, Stockholm, Sweden.

出版信息

Environ Pollut. 2007 Jul;148(1):73-82. doi: 10.1016/j.envpol.2006.11.033. Epub 2007 Feb 8.

Abstract

A steady state model is developed to describe the bioaccumulation of organic contaminants by 14 species in a Baltic food web including pelagic and benthic aquatic organisms. The model is used to study the bioaccumulation of five PCB congeners of different chlorination levels. The model predictions are evaluated against monitoring data for five of the species in the food web. Predicted concentrations are on average within a factor of two of measured concentrations. The model shows that all PCB congeners were biomagnified in the food web, which is consistent with observations. Sensitivity analysis reveals that the single most sensitive parameter is log K(OW). The most sensitive environmental parameter is the annual average temperature. Although not identified amongst the most sensitive input parameters, the dissolved concentration in water is believed to be important because of the uncertainty in its determination. The most sensitive organism-specific input parameters are the fractional respiration of species from the water column and sediment pore water, which are also difficult to determine. Parameters such as feeding rate, growth rate and lipid content of organism are only important at higher trophic levels.

摘要

建立了一个稳态模型,以描述包括浮游和底栖水生生物在内的波罗的海食物网中14个物种对有机污染物的生物累积情况。该模型用于研究不同氯化水平的5种多氯联苯同系物的生物累积。根据食物网中5个物种的监测数据对模型预测结果进行评估。预测浓度平均在测量浓度的两倍范围内。该模型表明,所有多氯联苯同系物在食物网中都发生了生物放大,这与观测结果一致。敏感性分析表明,最敏感的单一参数是log K(OW)。最敏感的环境参数是年平均温度。尽管在最敏感的输入参数中未被识别,但由于水中溶解浓度测定的不确定性,其被认为是重要的。最敏感的特定生物输入参数是来自水柱和沉积物孔隙水的物种的分数呼吸,这也难以确定。诸如生物的摄食率、生长率和脂质含量等参数仅在较高营养级时才重要。

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