ACES-Department of Analytical Chemistry and Environmental Science, Stockholm University, SE-10691 Stockholm, Sweden.
ACES-Department of Analytical Chemistry and Environmental Science, Stockholm University, SE-10691 Stockholm, Sweden.
Environ Pollut. 2015 Dec;207:97-106. doi: 10.1016/j.envpol.2015.08.050. Epub 2015 Sep 11.
Novel approaches for estimating the emissions of perfluorooctane sulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) to surface waters are explored. The Danube River catchment is used to investigate emissions contributing to riverine loads of PFOS and PFOA and to verify the accuracy of estimates using a catchment-scale dynamic fugacity-based chemical transport and fate model (STREAM-EU; Spatially and Temporally Resolved Exposure Assessment Model for European basins). Model accuracy evaluation performed by comparing STREAM-EU predicted concentrations and monitoring data for the Danube and its tributaries shows that the best estimates for PFOS and PFOA emissions in the Danube region are obtained by considering the combined contributions of human population, wealth (based on local gross domestic product (GDP)) and wastewater treatment. Human population alone cannot explain the levels of PFOS and PFOA found in the Danube catchment waters. Introducing wealth distribution information in the form of local GDPs improves emission estimates markedly, likely by better representing emissions resulting from consumer trends, industrial and commercial sources. For compounds such as PFOS and PFOA, whose main sink and transport media is the aquatic compartment, a major source to freshwater are wastewater treatment plants. Introducing wastewater treatment information in the emission estimations also further improves emission estimates.
探索了用于估算全氟辛烷磺酸 (PFOS) 和全氟辛酸 (PFOA) 排放到地表水中的新方法。本文以多瑙河流域为例,研究了导致 PFOS 和 PFOA 河流负荷的排放,并使用基于流域尺度动态逸度的化学迁移和归宿模型 (STREAM-EU;用于欧洲流域的时空分辨暴露评估模型) 验证了估算的准确性。通过比较 STREAM-EU 预测的浓度和多瑙河及其支流的监测数据进行的模型准确性评估表明,通过考虑人口、财富(基于当地国内生产总值 (GDP)) 和废水处理的综合贡献,可以获得多瑙河流域 PFOS 和 PFOA 排放的最佳估算值。仅考虑人口因素无法解释在多瑙河流域水中发现的 PFOS 和 PFOA 水平。以当地 GDP 的形式引入财富分配信息,显著改善了排放估算,可能是因为更好地代表了消费者趋势、工业和商业来源导致的排放。对于 PFOS 和 PFOA 等化合物,其主要汇和传输介质是水相,废水处理厂是淡水的主要来源。在排放估算中引入废水处理信息也进一步提高了排放估算。