首页> 外文期刊>Environmental Toxicology and Chemistry >FLOWS OF DIOXINS AND FURANS IN COASTAL FOOD WEBS: INVERSE MODELING, SENSITIVITY ANALYSIS, AND APPLICATIONS OF LINEAR SYSTEM THEORY
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FLOWS OF DIOXINS AND FURANS IN COASTAL FOOD WEBS: INVERSE MODELING, SENSITIVITY ANALYSIS, AND APPLICATIONS OF LINEAR SYSTEM THEORY

机译:沿海食品网中二恶英和呋喃的流动:逆向建模,灵敏度分析及线性系统理论的应用

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Rate constant bioaccumulation models are applied to simulate the flow of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) in the coastal marine food web of Frierfjorden, a contaminated fjord in southern Norway. We apply two different ways to parameterize the rate constants in the model, global sensitivity analysis of the models using Extended Fourier Amplitude Sensitivity Test (Extended FAST) method, as well as results from general linear system theory, in order to obtain a more thorough insight to the system's behavior and to the flow pathways of the PCDD/Fs. We calibrate our models against observed body concentrations of PCDD/Fs in the food web of Frierfjorden. Differences between the predictions from the two models (using the same forcing and parameter values) are of the same magnitude as their individual deviations from observations, and the models can be said to perform about equally well in our case. Sensitivity analysis indicates that the success or failure of the models in predicting the PCDD/F concentrations in the food web organisms highly depends on the adequate estimation of the truly dissolved concentrations in water and sediment pore water. We discuss the pros and cons of such models in understanding and estimating the present and future concentrations and bioaccumulation of persistent organic pollutants in aquatic food webs.
机译:应用速率常数生物蓄积模型来模拟多氯二苯并二恶英和二苯并呋喃(PCDD / Fs)在挪威南部受污染的峡湾Frierfjorden沿海海洋食物网中的流动。我们采用两种不同的方法对模型中的速率常数进行参数化,使用扩展傅里叶振幅灵敏度测试(Extended FAST)方法对模型进行全局敏感性分析,以及通用线性系统理论的结果,以便获得更全面的见解。与系统行为以及PCDD / F的流动路径有关。我们根据在Frierfjorden食物网中PCDD / Fs的体内浓度对模型进行校准。两种模型的预测之间的差异(使用相同的强迫和参数值)与它们与观测值的个体偏差具有相同的幅度,在我们的案例中,可以说这些模型的表现大致相同。敏感性分析表明,预测食物网生物中PCDD / F浓度的模型的成败很大程度上取决于对水和沉积物孔隙水中真正溶解浓度的适当估计。我们讨论了此类模型在了解和估算水食物网中持久性有机污染物的当前和未来浓度以及生物蓄积性方面的利弊。

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