CGT Center for GeoTechnologies, University of Siena, Via Vetri Vecchi 34, 52027, San Giovanni Valdarno, Italy.
Dr. Spang Ingenieurgesellschaft für Bauwesen, Geologie und Umwelttechnik mbH, Rosi-Wolfstein-Strasse 6, 58453, Witten, Germany.
Environ Sci Pollut Res Int. 2019 Jan;26(1):759-774. doi: 10.1007/s11356-018-3515-8. Epub 2018 Nov 10.
The ability of a soil to sustain infiltration rates and to attenuate pollutants is critical for the design and operation of Managed Aquifer Recharge/Soil Aquifer Treatment and phyto-treatment schemes, also referred to as "Blue Infrastructures". We investigated the buffering capacity of a sediment sample and a peat soil sample for nutrients and selected pharmaceutical compounds and its evolution under continuous infiltration of secondary treated wastewater (TWW) in column experiments. Samples were obtained from two blue infrastructures, the Sant'Alessio Induced River Bank Filtration plant and the San Niccolò large-scale phyto-treatment plant in Italy, and were mainly different in their organic carbon contents (0.9 and 48%, respectively). In the column experiments, a constant infiltration rate of about 0.5 L/d was maintained for 6 months. After 4 months of operation, diclofenac and carbamazepine were spiked into the TWW to evaluate their fate. Water quality was monitored by periodic water sampling from the column inflow, at sampling ports along the column length, and at the outflow. Hydraulic conductivity (K) was also monitored. The hydraulic conductivity of the Sant'Alessio sediment decreased by a factor of 10 during the first 10 days of infiltration and then stabilized, while for the San Niccolò K (initially lower) remained constant for 50 days until it decreased following a change of the redox condition in the column. The different redox conditions, due to the two different soils tested, influenced also the concentration and mobility of PO, Fe, Mn, and NPOC, and the speciation of the redox sensitive elements (nitrogen and sulfur). NOPC and phosphate were enriched during the filtration through San Niccolò peat soil (from 2 to 4 times, respectively), while they were buffered by the Sant'Alessio sediment (from 0.2 to 0.4 times, respectively). Diclofenac removal (69% and below 20% for San Niccolò and Sant'Alessio, respectively) was related to sorption and degradation processes and it was lower than the removal of carbamazepine in both soils (76 and 35%). The buffer capacity differences between the two soils were higher for diclofenac (62%) than carbamazepine (35%). Nevertheless, since no apparent degradation of carbamazepine was detected in both soils, its persistence in the soil may have a larger impact in case of desorption, posing contamination risk to groundwater. The results highlight the importance of the soils or sediments to be used as medium in such nature-based solutions for their operations. They also offer an approach to, e.g., tailor man-made soil layers in infiltration basins. We strongly suggest that soil characteristics and test duration are carefully considered in designing these infrastructures, when nature-based processes are the choice for dealing with reuse of treated wastewater management issues.
土壤维持渗透速率和衰减污染物的能力对于管理含水层补给/土壤含水层处理和植物处理方案(也称为“蓝色基础设施”)的设计和运行至关重要。我们研究了沉积物样品和泥炭土样品对养分和选定的药物化合物的缓冲能力,并在柱实验中研究了其在二级处理废水(TWW)连续渗透下的演变。样品取自意大利的两个蓝色基础设施,即 Sant'Alessio 诱导的河岸过滤厂和 San Niccolò 大规模植物处理厂,主要区别在于它们的有机碳含量(分别为 0.9%和 48%)。在柱实验中,保持约 0.5 L/d 的恒定渗透速率,持续 6 个月。在运行 4 个月后,向 TWW 中添加双氯芬酸和卡马西平,以评估它们的命运。通过定期从柱入口、柱长的采样口和出口处采集水样来监测水质。还监测了水力传导率(K)。Sant'Alessio 沉积物的水力传导率在渗透的前 10 天内下降了 10 倍,然后稳定下来,而对于 San Niccolò,K(最初较低)在 50 天内保持不变,直到柱内氧化还原条件发生变化后才下降。由于测试的两种土壤不同,不同的氧化还原条件也影响了 PO、Fe、Mn 和 NPOC 的浓度和迁移率,以及氧化还原敏感元素(氮和硫)的形态。NOPC 和磷酸盐在通过 San Niccolò 泥炭土过滤时被富集(分别增加了 2 到 4 倍),而在 Sant'Alessio 沉积物中被缓冲(分别减少了 0.2 到 0.4 倍)。双氯芬酸的去除率(San Niccolò 和 Sant'Alessio 分别为 69%和低于 20%)与吸附和降解过程有关,低于两种土壤中卡马西平的去除率(76%和 35%)。两种土壤之间的缓冲能力差异对于双氯芬酸(62%)高于卡马西平(35%)。然而,由于在两种土壤中都没有检测到卡马西平的明显降解,因此如果发生解吸,它在土壤中的持久性可能会对地下水造成更大的污染风险。结果突出了在这种基于自然的解决方案中使用土壤或沉积物作为介质的重要性,用于其运行。它们还提供了一种方法,例如,在渗透盆地中定制人造土层。我们强烈建议在设计这些基础设施时,仔细考虑土壤特性和测试持续时间,当基于自然的过程是处理回用处理废水管理问题的选择时。