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模拟大湖中的毒杀芬行为。

Modeling toxaphene behavior in the Great Lakes.

机构信息

Center for Air Resource Engineering and Science, Clarkson University, United States.

出版信息

Sci Total Environ. 2011 Jan 15;409(4):792-9. doi: 10.1016/j.scitotenv.2010.10.051. Epub 2010 Dec 9.

Abstract

Chlorinated camphenes, toxaphene, are persistent organic pollutants of concern in the Great Lakes since elevated concentrations are found in various media throughout the system. While concentrations have decreased since their peak values in the 1970s and 80s, recent measurements have shown that the rate of this decline in Lake Superior has decreased significantly. This modeling study focused on toxaphene cycling in the Great Lakes and was performed primarily to determine if elevated water and fish concentrations in Lake Superior can be explained by physical differences among the lakes. Specifically, the coastal zone model for persistent organic pollutants (CoZMo-POP), a fugacity-based multimedia fate model, was used to calculate toxaphene concentrations in the atmosphere, water, soil, sediment, and biota. The performance of the model was evaluated by comparing calculated and reported concentrations in these compartments. In general, simulated and observed concentrations agree within one order of magnitude. Both model results and observed values indicate that toxaphene concentrations have declined in water and biota since the 1980s primarily as the result of decreased atmospheric deposition rates. Overall the model results suggest that the CoZMo-POP2 model does a reasonable job in simulating toxaphene variations in the Great Lakes basin. The results suggest that the recent findings of higher toxaphene concentrations in Lake Superior can be explained by differences in the physical properties of the lake (primarily large volume, large residence time and cold temperatures) compared to the lower lakes and increased recent inputs are not needed to explain the measured values.

摘要

氯化莰烯、毒杀芬是大湖地区令人关注的持久性有机污染物,因为在整个系统的各种介质中都发现其浓度升高。虽然自 20 世纪 70 年代和 80 年代达到峰值以来,浓度有所下降,但最近的测量结果表明,苏必利尔湖下降速度明显放缓。本建模研究集中于大湖地区毒杀芬的循环,主要目的是确定苏必利尔湖水中和鱼类中升高的浓度是否可以用湖泊之间的物理差异来解释。具体而言,持久性有机污染物沿海区模型(CoZMo-POP),一种基于逸度的多媒体命运模型,用于计算大气、水、土壤、沉积物和生物群中毒杀芬的浓度。通过将这些隔室中的计算浓度与报告浓度进行比较来评估模型的性能。总体而言,模拟浓度与观测浓度在一个数量级内一致。模型结果和观测值均表明,自 20 世纪 80 年代以来,由于大气沉积率降低,水和生物群中毒杀芬浓度下降。总体而言,模型结果表明,CoZMo-POP2 模型在模拟大湖流域毒杀芬的变化方面表现良好。结果表明,苏必利尔湖近期发现的毒杀芬浓度较高,可以用该湖与较低湖泊的物理特性(主要是大体积、大停留时间和低温)的差异来解释,而不需要增加最近的输入来解释实测值。

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