Empa, Swiss Federal Laboratories for Materials Science and Technology, Technology and Society Laboratory, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland.
Empa, Swiss Federal Laboratories for Materials Science and Technology, Technology and Society Laboratory, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland.
Environ Pollut. 2018 Apr;235:589-601. doi: 10.1016/j.envpol.2018.01.004. Epub 2018 Jan 11.
Static environmental exposure assessment models based on material flow analysis (MFA) have previously been used to estimate flows of engineered nanomaterials (ENMs) to the environment. However, such models do not account for changes in the system behavior over time. Dynamic MFA used in this study includes the time-dependent development of the modelling system by considering accumulation of ENMs in stocks and the environment, and the dynamic release of ENMs from nano-products. In addition, this study also included regional variations in population, waste management systems, and environmental compartments, which subsequently influence the environmental release and concentrations of ENMs. We have estimated the flows and release concentrations of nano-SiO, nano-iron oxides, nano-CeO, nano-AlO, and quantum dots in the EU and six geographical sub-regions in Europe (Central Europe, Northern Europe, Southern Europe, Eastern Europe, South-eastern Europe, and Switzerland). The model predicts that a large amount of ENMs are accumulated in stocks (not considering further transformation). For example, in the EU 2040 Mt of nano-SiO are stored in the in-use stock, 80,400 tonnes have been accumulated in sediments and 65,600 tonnes in natural and urban soil from 1990 to 2014. The magnitude of flows in waste management processes in different regions varies because of differences in waste handling. For example, concentrations in landfilled waste are lowest in South-eastern Europe due to dilution by the high amount of landfilled waste in the region. The flows predicted in this work can serve as improved input data for mechanistic environmental fate models and risk assessment studies compared to previous estimates using static models.
基于物质流分析(MFA)的静态环境暴露评估模型以前曾被用于估计工程纳米材料(ENMs)向环境的流动。然而,这种模型并没有考虑到系统随时间的变化。本研究中使用的动态 MFA通过考虑 ENMs 在库存和环境中的积累以及纳米产品中 ENMs 的动态释放,包括建模系统随时间的发展。此外,本研究还包括人口、废物管理系统和环境区系的区域差异,这些差异随后会影响 ENMs 的环境释放和浓度。我们估计了纳米二氧化硅、纳米氧化铁、纳米氧化铈、纳米氧化铝和量子点在欧盟和欧洲六个地理分区(中欧、北欧、南欧、东欧、东南欧和瑞士)的流动和释放浓度。该模型预测,大量的 ENMs 会在库存中积累(不考虑进一步的转化)。例如,在欧盟,2040 年有 2040 万吨纳米二氧化硅储存在使用库存中,1990 年至 2014 年,有 80400 吨纳米二氧化硅积累在沉积物中,65600 吨纳米二氧化硅积累在自然和城市土壤中。由于废物处理方式的不同,不同地区废物管理过程中的流动量也不同。例如,由于该地区大量废物填埋,东南欧填埋废物中的浓度最低。与以前使用静态模型进行的估计相比,本工作中预测的流动量可以作为改进的机制环境归宿模型和风险评估研究的输入数据。