Helmholtz Centre for Environmental Research - UFZ, Department of Effect-Directed Analysis, Permoserstrasse 15, 04318 Leipzig, Germany; RWTH Aachen University, Institute of Biology V, Worringerweg 1, 52074 Aachen, Germany.
Helmholtz Centre for Environmental Research - UFZ, Department of Bioanalytical Toxicology, Permoserstrasse 15, 04318 Leipzig, Germany.
Water Res. 2018 May 15;135:122-133. doi: 10.1016/j.watres.2018.02.002. Epub 2018 Feb 3.
Sites of wastewater discharge are hotspots for pollution of freshwaters with organic micropollutants and are often associated with adverse effects to aquatic organisms. The assessment, monitoring and managment of these hotspots is challenged by variations in the pollutant mixture composition due to season, weather conditions and random spills. In this study, we unraveled temporal exposure patterns in organic micropollutant mixtures from wastewater discharge and analyzed respective acute and sublethal risks for aquatic organisms. Samples were taken from two components of a separate sewer system i) a wastewater treatment plant (WWTP) and ii) a rain sewer of a medium size town as well as from the receiving river in different seasons. Rain sewer samples were separately collected for rain and dry - weather conditions. We analyzed 149 compounds by liquid chromatography-tandem mass spectrometry (LC-MS/MS). By considering the pollution dynamics in the point sources, we reduced the complexity of pollutant mixtures by k-means clustering to a few emission groups representing temporal and weather-related pollution patterns. From these groups, we derived biological quality element (BQE) - specific risk patterns. In most cases, one main risk driving emission group and a few individual risk driving compounds were identified for each BQE. While acute risk for fish was quite low, algae were exposed to seasonally emitted herbicides (terbuthylazine, spiroxamine) and crustaceans to randomly spilled insecticides (diazinon, dimethoate). Sublethal risks for all BQE were strongly influenced by constantly emitted pollutants, above all, pharmaceuticals. Variability of risks in the river was mainly driven by water discharge of the river rather than by season or peak events. Overall, the studied WWTP represented the major pollution source with a specific emission of agricultural compounds. However, the investigated rain sewer showed to be a constant pollution source due to illicit connections and was an important entry route for high loads of insecticides and biocides due to spills or incorrect disposal. By considering these pollution and risk dynamics, monitoring strategies may be optimized with a special focus on times of low flow conditions in the river, rain events and seasonally emitted risk drivers.
废水排放点是受有机微污染物污染的淡水热点,通常与水生生物的不良影响有关。由于季节、天气条件和随机溢出,污染物混合物组成的变化对这些热点的评估、监测和管理构成了挑战。在这项研究中,我们揭示了来自废水排放的有机微污染物混合物的时间暴露模式,并分析了水生生物的相应急性和亚致死风险。样品取自单独下水道系统的两个组成部分:i)废水处理厂 (WWTP) 和 ii)中型城镇的雨水下水道,以及不同季节的接收河流。雨水下水道样品分别在雨天和旱季收集。我们通过液相色谱-串联质谱法 (LC-MS/MS) 分析了 149 种化合物。通过考虑点源中的污染动态,我们通过 K-均值聚类将污染物混合物的复杂性降低到几个代表时间和天气相关污染模式的排放组。从这些组中,我们得出了生物质量元素 (BQE) 特定的风险模式。在大多数情况下,每个 BQE 都确定了一个主要的风险驱动排放组和几个单独的风险驱动化合物。虽然鱼类的急性风险相当低,但藻类暴露于季节性排放的除草剂(特丁津、螺甲螨酯),甲壳类动物暴露于随机溢出的杀虫剂(二嗪磷、乐果)。所有 BQE 的亚致死风险都受到不断排放的污染物的强烈影响,尤其是药物。河流中风险的可变性主要受河流流量的驱动,而不是受季节或峰值事件的驱动。总体而言,研究的 WWTP 是主要的污染源,具有特定的农业化合物排放。然而,由于非法连接,调查中的雨水下水道显示为恒定污染源,并且由于溢出或不正确处理,昆虫剂和杀生剂的高负荷是重要的进入途径。通过考虑这些污染和风险动态,监测策略可以通过特别关注河流低流量条件、降雨事件和季节性排放的风险驱动因素来优化。