Lindim C, van Gils J, Cousins I T
ACES-Department of Analytical Chemistry and Environmental Science, Stockholm University, SE-10691 Stockholm, Sweden.
Deltares, PO Box 177, 2600 MH Delft, The Netherlands.
Chemosphere. 2016 Feb;144:803-10. doi: 10.1016/j.chemosphere.2015.09.051. Epub 2015 Sep 27.
We present STREAM-EU (Spatially and Temporally Resolved Exposure Assessment Model for EUropean basins), a novel dynamic mass balance model for predicting the environmental fate of organic contaminants in river basins. STREAM-EU goes beyond the current state-of-the-science in that it can simulate spatially and temporally-resolved contaminant concentrations in all relevant environmental media (surface water, groundwater, snow, soil and sediments) at the river basin scale. The model can currently be applied to multiple organic contaminants in any river basin in Europe, but the model framework is adaptable to any river basin in any continent. We simulate the environmental fate of perfluoroctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) in the Danube River basin and compare model predictions to recent monitoring data. The model predicts PFOS and PFOA concentrations that agree well with measured concentrations for large stretches of the river. Disagreements between the model predictions and measurements in some river sections are shown to be useful indicators of unknown contamination sources to the river basin.
我们提出了STREAM-EU（欧洲流域时空分辨暴露评估模型），这是一种用于预测流域内有机污染物环境归宿的新型动态质量平衡模型。STREAM-EU超越了当前的科学水平，因为它能够在流域尺度上模拟所有相关环境介质（地表水、地下水、雪、土壤和沉积物）中时空分辨的污染物浓度。该模型目前可应用于欧洲任何流域的多种有机污染物，但模型框架可适用于任何大陆的任何流域。我们模拟了多瑙河流域全氟辛烷磺酸（PFOS）和全氟辛酸（PFOA）的环境归宿，并将模型预测结果与近期监测数据进行了比较。该模型预测的PFOS和PFOA浓度与该河流大部分河段的实测浓度吻合良好。模型预测与某些河段测量结果之间的差异被证明是该流域未知污染源的有用指标。
