摘要
为密歇根湖建立了气相多氯联苯和反式一九氯杀虫剂的预测模型,考查所得数据可得出发展趋势。在本文中,我们叙述模型的结果以显示来自芝加哥地区的一股污染物的数量和它的变化如何对整个湖泊净污染物沉降的高度变动范围起作用。对整个湖泊来说,虽然年净气体交换与零没有多大区别,多氯联苯的年总沉降量约为3200kg。数据驱动模型显示,从每一天来说,持久性有机污染物(POPs)的净交换是否能从净沉降变成净挥发,这要看每股污染物影响的面积。这些研究发现说明:①城市地区的控制能加速湖泊(污染物)的挥发;②从市区释放的POPs大半是挥发过程的结果。
A predictive model for gas-phase PCBs and trans-nonachlor over Lake Michigan has been constructed and the resulting data examined for trends. In this paper, we describe the model results to show how the magnitude and variability of a plume of contaminants from the Chicago area contributes to a highly variable region of net contaminant deposition over the entire lake. For the whole lake, gross annual deposition of PCBs is ～3200 kg, although the net annual gas exchange is not significantly different from zero. The data-driven model illustrates that on a daily basis, the net exchange of persistent organic pollutants (POPs) can change from net deposition to net volatilization depending on the area of plume impact. These findings suggest that i) control of urban areas can accelerate the rate of volatilization from lakes; and ii) release of POPs from urban areas is largely a result of volatilization processes.
