Department of Geography and Environmental Science, School of Archaeology, Geography and Environmental Science, University of Reading , Reading, RG6 6DW, United Kingdom.
Environ Sci Technol. 2014 Oct 21;48(20):12073-82. doi: 10.1021/es501086x. Epub 2014 Sep 30.
The aim of this study was to evaluate and improve the accuracy of plant uptake models for neutral hydrophobic organic pollutants (1 < logK(OW) < 9, -8 < logK(AW) < 0) used in regulatory exposure assessment tools, using uncertainty and sensitivity analyses. The models considered were RAIDAR, EUSES, CSOIL, CLEA, and CalTOX. In this research, CSOIL demonstrated the best performance of all five exposure assessment tools for root uptake from polluted soil in comparison with observed data, but no model predicted shoot uptake well. Recalibration of the transpiration and volatilisation parameters improved the performance of CSOIL and CLEA. The dominant pathway for shoot uptake simulated differed according to the properties of the chemical under consideration; those with a higher air-water partition coefficient were transported into shoots via the soil-air-plant pathway, while chemicals with a lower octanol-water partition coefficient and air-water partition coefficient were transported via the root. The soil organic carbon content was a particularly sensitive parameter in each model and using a site specific value improved model performance.
本研究旨在通过不确定性和敏感性分析，评估和改进用于监管暴露评估工具的中性疏水性有机污染物（1 < logK（OW）< 9，-8 < logK（AW）< 0）植物吸收模型的准确性。所考虑的模型包括 RAIDAR、EUSES、CSOIL、CLEA 和 CalTOX。在这项研究中，与观察数据相比，CSOIL 在所有五种暴露评估工具中对受污染土壤中根部吸收的表现最佳，但没有模型能很好地预测茎叶吸收。蒸腾和挥发参数的重新校准提高了 CSOIL 和 CLEA 的性能。模拟的茎叶吸收的主要途径因所考虑的化学物质的性质而异；那些具有较高的气-水分配系数的物质通过土壤-空气-植物途径进入茎叶，而那些具有较低的辛醇-水分配系数和气-水分配系数的物质则通过根部运输。在每个模型中，土壤有机碳含量都是一个特别敏感的参数，使用特定地点的值可以提高模型性能。
