A New Metric for Long-Range Transport Potential of Chemicals
A New Metric for Long-Range Transport Potential of Chemicals
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DOI：
10.1021/es4026003
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发表时间：
2014-03-18
影响因子：
11.4
通讯作者：
Suzuki, Noriyuki
中科院分区：
文献类型：
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作者：
Kawai, Toru;Jagiello, Karolina;Suzuki, Noriyuki
我们基于源受体分析提出了一种新的长程运输潜力 (LRTP) 指标 GIF，并分别使用 GIF 和总体持久性 (P-OV) 评估了多种氯化和溴化有机化合物的 LRTP 和持久性。我们使用全局 3D 动态多媒体模型 (FATE) 计算了 GIF 和 P-OV。物理化学性质通过定量结构性质关系（QSPR）模型获得。 FATE QSPR 组合模型使我们能够系统地研究多种化学物质的 LRTP 和持久性。平均而言，氯化化合物的估计 GIF 和 P-OV 大于溴化化合物的估计值，其中最大和最小值分别为多氯联苯和多溴二苯并二恶英。我们还将 GIF 与四个不同定义的 LRTP 指标以及从简单模型获得的两个 LRTP 指标进行了比较。我们的分析结果表明，LRTP 排名在 LRTP 指标之间可能存在很大差异，这些差异取决于控制环境过程、相关物理化学特性和多媒体模型。
We propose a new metric for long-range transport potential (LRTP), GIF, based on source receptor analyses and evaluate the LRTP and persistence of a wide variety of chlorinated and brominated organic compounds using GIF and overall persistence (P-OV), respectively. We calculated GIF and P-OV using our global 3D dynamic multimedia model (FATE). Physicochemical properties were obtained from quantitative structure property relationship (QSPR) models. The FATE QSPR combined model enabled us to systematically investigate the LRTP and persistence of a wide variety of chemical substances. On average, the estimated GIF and P-OV for chlorinated compounds were larger than those for their brominated counterparts, with the largest and smallest values found for polychlorinated biphenyls and polybrominated dibenzodioxins, respectively. We also compared GIF with four differently defined LRTP metrics and two LRTP metrics obtained from a simple model. The results of our analyses indicate that the LRTP ranks can differ considerably among LRTP metrics, the differences being dependent on the governing environmental processes, relevant physicochemical properties, and multimedia model.