School of Public and Environmental Affairs, Indiana University, Bloomington, Indiana 47405, USA.
Environ Sci Technol. 2010 Nov 1;44(21):8050-5. doi: 10.1021/es101656u.
Using a multiple linear regression model of the concentrations of several persistent organic pollutants in the atmospheric vapor and particle phases and in precipitation, we have analyzed a data set of about 700,000 values to determine the rate at which these concentrations are decreasing. These concentrations were measured as part of the Integrated Atmospheric Deposition Network (IADN), which has operated several sites near the North American Great Lakes since 1991. The pollutants measured include 83 polychlorinated biphenyl congeners, 17 polycyclic aromatic hydrocarbons, and 24 organochlorine pesticides. In the approach used here, for each of the three phases, the concentrations of a specific chemical at all the sites were combined and fitted with a regression incorporating the sine and cosine of the Julian Day (relative to 1 January 1990 and with a periodicity of one year) and the population living and working within a 25-km radius of the sampling site. Partial residuals were then calculated for each datum, all of the residuals for the three phases were combined, and an overall halving time was calculated from them. This relatively simple approach indicated that the concentrations of PCBs in air around the Great Lakes are decreasing with an overall halving time of 17 ± 2 years, which is slow for a substance that was banned about 35 years ago. Phenanthrene, chrysene, and endosulfan showed halving times on the order of 10 years. The concentrations of several organochlorine pesticides were decreasing more rapidly; for example α- and γ-HCH (lindane) have halving times of about 3.5 years.
利用大气蒸气相、颗粒相和降水相中几种持久性有机污染物浓度的多元线性回归模型,我们分析了大约 70 万组数据,以确定这些浓度的下降速度。这些浓度是作为综合大气沉降网络(IADN)的一部分进行测量的,自 1991 年以来,该网络在北美五大湖附近的几个地点运行。所测量的污染物包括 83 种多氯联苯同系物、17 种多环芳烃和 24 种有机氯农药。在本研究中,对于每一种相态,所有地点特定化学物质的浓度都进行了组合,并与一个回归模型拟合,该模型包含了 Julian Day 的正弦和余弦(相对于 1990 年 1 月 1 日,周期为一年)以及在采样点 25 公里半径范围内生活和工作的人口。然后,为每个数据点计算偏残差,将所有三个相态的残差合并,并从中计算总体减半时间。这种相对简单的方法表明,五大湖周围空气中的多氯联苯浓度正在下降,总体减半时间为 17 ± 2 年,对于大约 35 年前被禁止的物质来说,这个速度较慢。菲、䓛和硫丹的减半时间约为 10 年。几种有机氯农药的浓度下降得更快;例如,α-和 γ-六氯环己烷(林丹)的减半时间约为 3.5 年。