Centre for Microbiology and Environmental Systems Science, Department of Environmental Geosciences, University of Vienna, Josef-Holaubek-Platz 2, 1090, Vienna, Austria.
Centre for Microbiology and Environmental Systems Science, Department of Environmental Geosciences, University of Vienna, Josef-Holaubek-Platz 2, 1090, Vienna, Austria; HPC Italia Srl, Via Francesco Ferrucci 17/A, 20145, Milano, Italy.
Environ Pollut. 2023 Apr 15;323:121223. doi: 10.1016/j.envpol.2023.121223. Epub 2023 Feb 6.
Aquifers providing drinking water are increasingly threatened by emerging contaminants due to wastewater inputs from multiple sources. These inputs have to be identified, differentiated, and characterized to allow an accurate risk assessment and thus ensure the safety of drinking water through appropriate management. We hypothesize, that in climates with seasonal temperature variations, the sweetener acesulfame potassium (ACE) provides new pathways to study wastewater inputs to aquifers. Specifically, this study investigates the temperature-driven seasonal oscillation of ACE to assess multiple sources of wastewater inputs at a riverbank filtration site. ACE concentrations in the river water varied from 0.2 to 1 μg L in the cold season (T < 10 °C) to 0-0.1 μg L in the warm season (T > 10 °C), due to temperature-dependent biodegradation during wastewater treatment. This oscillating signal could be traced throughout the aquifer over distances up to 3250 m from two different infiltration sources. A transient numerical model of groundwater flow and ACE transport was calibrated over hydraulic heads and ACE concentrations, allowing the accurate calculation of mixing ratios, travel times, and flow-path directions for each of the two infiltration sources. The calculated travel time from the distant infiltration source was of 67 days, while that from the near source was of 20 days. The difference in travel times leads to different potential degradation of contaminants flowing into the aquifer from the river, thus demonstrating the importance of individually assessing the locations of riverbank infiltration. The calibrated ACE transport model allowed calculating transient mixing ratios, which confirmed the impact of river stage and groundwater levels on the mixing ratio of the original groundwater and the bank filtrate. Therefore, continuous monitoring of ACE concentrations can help to optimize the management of the water works with the aim to avoid collection of water with very short travel times, which has important regulative aspects. Our findings demonstrate the suitability of ACE as a transient tracer for identifying multiple sources of wastewater, including riverbank filtration sites affected by wastewater treatment plant effluents. ACE seasonal oscillation tracking thus provides a new tool to be used in climates with pronounced seasonal temperature variations to assess the origins of contamination in aquifers, with time and cost advantages over multi-tracer approaches.
含水层作为饮用水源,由于多种来源的废水输入,越来越受到新兴污染物的威胁。这些输入必须被识别、区分和表征,以进行准确的风险评估,从而通过适当的管理确保饮用水的安全。我们假设,在季节性温度变化的气候条件下,甜味剂乙酰磺胺酸钾 (ACE) 为研究含水层中废水输入提供了新的途径。具体而言,本研究调查了 ACE 的温度驱动季节性波动,以评估河岸过滤点的多种废水输入源。在冷季(T < 10°C),河水 ACE 浓度为 0.2 至 1μg/L,而在暖季(T > 10°C),ACE 浓度为 0 至 0.1μg/L,这是由于废水处理过程中的温度相关生物降解所致。由于温度相关生物降解,这个振荡信号可以在距离两个不同渗透源长达 3250 米的范围内,在含水层中追踪到。地下水流动和 ACE 输运的瞬态数值模型根据水力水头和 ACE 浓度进行了校准,从而可以准确计算每个渗透源的混合比、运移时间和流动方向。从远距离渗透源计算出的运移时间为 67 天,而从近距离源的运移时间为 20 天。运移时间的差异导致从河流流入含水层的污染物的潜在降解程度不同,因此证明了单独评估河岸渗透位置的重要性。校准后的 ACE 输运模型允许计算瞬态混合比,这证实了河水位和地下水位对原始地下水和岸滤水混合比的影响。因此,连续监测 ACE 浓度有助于优化水厂管理,目的是避免采集运移时间非常短的水,这具有重要的监管方面。我们的研究结果表明,ACE 作为一种示踪剂,适用于识别多种废水来源,包括受污水处理厂废水影响的河岸过滤点。因此,ACE 季节性波动跟踪为评估含水层中污染的来源提供了一种新工具,在季节性温度变化明显的气候条件下,与多示踪剂方法相比,具有时间和成本优势。