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Polychlorinated biphenyls (PCB) and dichlorodiphenyltrichloroethane (DDE) air concentrations in the Lake Ontario region: Trends and potential sources

机译:安大略湖地区的多氯联苯(PCB)和二氯二苯基三氯乙烷(DDE)空气浓度:趋势和潜在来源

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摘要

Airborne particle and gas samples were collected approx every 12 days from April 2002 to June 2006 at the Sterling Nature Center located near the southeast corner of Lake Ontario. These samples were analyzed for polychlorinated biphenyls (PCBs) and dichlorodiphenyltrichloroethane (DDE). Clausius-Clapeyron (C-C) regression analyses of PCBs and DDE yielded moderate correlations (r~2 = 0.54, p < 0.001: r~2 = 0.74, p < 0.001, respectively) indicating that much of the variations in concentrations can be explained by temperature. Back trajectory analysis indicated that the most important factors driving unusually high PCB partial pressures relative to those predicted by the C-C regression were slow wind speeds and winds generally from the southwest. This combination, which occurred frequently in 2004, increased contact of the air with contaminated upwind surfaces with minimum dilution. Hybrid receptor modeling (Potential Source Contribution Function (PSCF)) results for the total PCBs identified the mid-western US region that contains the urban areas of southern Indiana (IN), southwestern Ohio (OH), and northern Kentucky (KY) having the highest PSCF values. In general urban areas like Chicago (IL), Detroit (MI), Cleveland (OH), St. Louis (MO), and Nashville (TN) also had significant possibilities. In contrast, the PSCF modeling for DDE identified northern Alabama as the area with the highest probability where DDT was applied to cotton fields.
机译:从2002年4月到2006年6月,大约每12天从安大略湖东南角附近的斯特林自然中心收集空气中的颗粒物和气体样品。分析了这些样品中的多氯联苯(PCB)和二氯二苯基三氯乙烷(DDE)。多氯联苯和DDE的Clausius-Clapeyron(CC)回归分析得出中等程度的相关性(分别为r〜2 = 0.54,p <0.001:r〜2 = 0.74,p <0.001),表明浓度的许多变化可以用温度。反向轨迹分析表明,相对于C-C回归预测的压力,导致异常高的PCB分压的最重要因素是缓慢的风速和西南风。这种组合在2004年经常发生,以最小的稀释度增加了空气与被污染的迎风表面的接触。总PCB的混合受体建模(潜在源贡献函数(PSCF))结果确定了美国中西部地区,该地区包含印第安纳州南部(IN),俄亥俄州西南部(OH)和肯塔基州北部(KY)的市区,最高PSCF值。在芝加哥(IL),底特律(MI),克利夫兰(OH),圣路易斯(MO)和纳什维尔(TN)等普通城市地区,也有很大的可能性。相比之下,针对DDE的PSCF模型将阿拉巴马州北部确定为将DDT应用于棉田的可能性最高的地区。

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