Deltares, P.O.Box 177, 2600 MH, Delft, The Netherlands; Earth Surface Science, IBED, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands.
Earth Surface Science, IBED, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands.
Water Res. 2016 Mar 15;91:214-24. doi: 10.1016/j.watres.2016.01.003. Epub 2016 Jan 9.
As engineered nanoparticles of zinc oxide, titanium dioxide and silver, are increasingly used in consumer products, they will most probably enter the natural environment via wastewater, atmospheric deposition and other routes. The aim of this study is to predict the concentrations of these nanoparticles via wastewater emissions in a typical river system by means of a numerical model. The calculations rely on estimates of the use of nanomaterials in consumer products and the removal efficiency in wastewater treatment plants as well as model calculations of the fate and transport of nanoparticles in a riverine system. The river Rhine was chosen for this work as it is one of the major and best studied rivers in Europe. The study gives insight in the concentrations that can be expected and, by comparing the model results with measurements of the total metal concentrations, of the relative contribution of these emerging contaminants. Six scenarios were examined. Two scenarios concerned the total emission: in the first it was assumed that nanoparticles are only released via wastewater (treated or untreated) and in the second it was assumed that in addition nanoparticles can enter the river system via runoff from the application of sludge as a fertilizer. In both cases the assumption was that the nanoparticles enter the river system as free, unattached particles. Four additional scenarios, based on the total emissions from the second scenario, were examined to highlight the consequences of the assumption of free nanoparticles and the uncertainties about the aggregation processes. If all nanoparticles enter as free particles, roughly a third would end up attached to suspended particulate matter due to the aggregation processes nanoparticles are subject to. For the other scenarios the contribution varies from 20 to 45%. Since the Rhine is a fast flowing river, sedimentation is unlikely to occur, except at the floodplains and the lakes in the downstream regions, as in fact shown by the sediment mass balance. Nanoparticles will therefore be transported along the whole river until they enter the North Sea. For the first scenario, the concentrations predicted for zinc oxide and titanium dioxide nanoparticles are in the order of 0.5 μg/l, for silver nanoparticles in the order of 5 ng/l. For zinc and titanium compounds this amounts to 5-10% of the measured total metal concentrations, for silver to 2%. For the other scenarios, the predicted nanoparticle concentrations are two to three times higher. While there are still considerable uncertainties in the inputs and consequently the model results, this study predicts that nanoparticles are capable of being transported over long distances, in much the same way as suspended particulate matter.
随着氧化锌、二氧化钛和银等工程纳米粒子越来越多地应用于消费产品,它们很可能通过废水、大气沉降和其他途径进入自然环境。本研究的目的是通过数值模型预测典型河流系统中通过废水排放的这些纳米粒子的浓度。该计算依赖于对消费产品中纳米材料的使用和废水处理厂的去除效率的估计,以及纳米粒子在河流系统中的归宿和传输的模型计算。莱茵河被选为这项工作的研究对象,因为它是欧洲主要和研究最好的河流之一。该研究提供了可以预期的浓度的深入了解,并通过将模型结果与总金属浓度的测量值进行比较,了解了这些新兴污染物的相对贡献。研究考察了六种情况。两种情况涉及总排放量:在第一种情况下,假设纳米粒子仅通过废水(处理或未处理)释放,在第二种情况下,假设纳米粒子可以通过应用污泥作为肥料而进入河流系统。在这两种情况下,假设纳米粒子以自由的、未附着的颗粒形式进入河流系统。根据第二种情况的总排放量,还考察了另外四种情况,以突出自由纳米粒子的假设和团聚过程不确定性的后果。如果所有的纳米粒子都以自由粒子的形式进入,由于纳米粒子会受到团聚过程的影响,大约有三分之一会最终附着在悬浮颗粒物上。对于其他情况,其贡献在 20%至 45%之间变化。由于莱茵河是一条快速流动的河流,除了下游地区的洪泛区和湖泊外,沉降不太可能发生,这实际上正如泥沙质量平衡所显示的那样。纳米粒子将沿着整条河流被输送,直到它们进入北海。对于第一种情况,预测的氧化锌和二氧化钛纳米粒子的浓度约为 0.5μg/l,银纳米粒子的浓度约为 5ng/l。对于锌和钛化合物,这相当于测量的总金属浓度的 5-10%,对于银则相当于 2%。对于其他情况,预测的纳米粒子浓度要高两到三倍。尽管输入仍然存在相当大的不确定性,因此模型结果也存在不确定性,但本研究预测纳米粒子能够像悬浮颗粒物一样长距离输送。