Technische Universität Berlin, Dept. of Applied Geosciences, Hydrogeology Research Group, 10587 Berlin, Germany.
Geoscience Center, University of Göttingen, 37077 Göttingen, Germany.
Sci Total Environ. 2016 Mar 15;547:356-365. doi: 10.1016/j.scitotenv.2015.12.112. Epub 2016 Jan 12.
The identification and differentiation of different sources of contamination are crucial aspects of risk assessment in water resource protection. This is especially challenging in karst environments due to their highly heterogeneous flow fields. We have investigated the use of two artificial sweeteners, cyclamate and acesulfame, as an indicator set for contamination by wastewater within the rural catchment of a karst spring. The catchment was investigated in detail to identify the sources of artificial sweeteners and quantify their impact. Spring water was analysed following two different but typical recharge events: (1) a rain-on-snow event in winter, when no wastewater overflow from the sewer system was observed, and (2) an intense rainfall event in summer triggering an overflow from a stormwater detention basin. Acesulfame, which is known to be persistent, was quantified in all spring water samples. Its concentrations decreased after the winter event with no associated wastewater spillage but increased during the summer event following a recent input of untreated wastewater. Cyclamate, which is known to be degradable, was only detected following the wastewater inflow incident. The cyclamate signal matched very well the breakthrough of faecal indicator bacteria, indicating a common origin. Knowing the input function, cyclamate was used quantitatively as a tracer in transport modelling and the impact of 'combined sewer overflow' on spring water quality was quantified. Signals from artificial sweeteners were compared to those from bulk parameters (discharge, electrical conductivity and turbidity) and also to those from the herbicides atrazine and isoproturon, which indicate 'old' and 'fresh' flow components, respectively, both originating from croplands. High concentration levels of the artificial sweeteners in untreated wastewater (cyclamate and acesulfame) and in treated wastewater (acesulfame only) make them powerful indicators, especially in rural settings where wastewater input is relatively low, and in karst systems where dilution is often high.
不同污染源的识别和区分是水资源保护风险评估的关键方面。在岩溶环境中,由于其高度非均质地流场,这一过程极具挑战性。我们研究了两种人工甜味剂——甜蜜素和乙酰磺胺酸钾——作为岩溶泉农村流域污水污染的指示物。我们详细调查了流域,以确定人工甜味剂的来源并量化其影响。泉水在两次不同但典型的补给事件后进行了分析:(1)冬季的雨上雪事件,此时未观察到污水从污水系统溢出;(2)夏季的强降雨事件,导致雨水滞留池溢出。所有泉水样本中都检测到了具有持久性的乙酰磺胺酸钾。冬季事件后,其浓度下降,当时没有污水溢出,但在夏季事件后,最近未经处理的污水输入后,其浓度增加。已知可降解的甜蜜素仅在污水流入事件后才被检测到。甜蜜素信号与粪便指示菌的突破非常吻合,表明其具有共同的来源。由于知道了输入函数,因此在运移模型中,甜蜜素被定量用作示踪剂,量化了“合流污水溢流”对泉水水质的影响。人工甜味剂的信号与批量参数(流量、电导率和浊度)的信号进行了比较,也与指示“旧”和“新”水流成分的除草剂莠去津和异丙隆的信号进行了比较,它们分别源自农田。未经处理的污水(甜蜜素和乙酰磺胺酸钾)和处理后的污水(仅乙酰磺胺酸钾)中人工甜味剂的高浓度水平使它们成为强有力的指示物,特别是在污水输入相对较低的农村地区和经常稀释度较高的岩溶系统中。