Modeling Risk Dynamics of Contaminants of Emerging Concern in a Temperate-region Wastewater Effluent-dominated Stream.
Modeling Risk Dynamics of Contaminants of Emerging Concern in a Temperate-region Wastewater Effluent-dominated Stream.
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温带地区以废水为主导的河流中污染物风险动力学建模。
DOI：
10.1039/d2ew00157h
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发表时间：
2022-07-01
影响因子：
5
通讯作者：
LeFevre, Gregory H.
中科院分区：
文献类型：
--
作者：
Zhi, Hui;Webb, Danielle T.;Schnoor, Jerald L.;Kolpin, Dana W.;Klaper, Rebecca D.;Iwanowicz, Luke R.;LeFevre, Gregory H.
以废水为主的溪流在全世界，包括在温带地区越来越普遍，对生态系统和饮用水源有潜在影响。我们最近量化的发生/时空动态的药物混合物中的一个代表性的温带地区的废水流出物为主的流（泥溪，爱荷华州）在基流条件下，并表征相关的命运过程。在此，我们量化了基流条件下河流中19种新兴关注的流出物衍生污染物（CEC;包括：14种药物，2种工业化学品和3种烟碱类杀虫剂）和1种径流衍生化合物（莠去津）的生态风险因子（RQ），并估计了全流量条件下流出物衍生CEC的概率风险（即，包括径流事件）。我们确定，20个CEC中有11个对当地生态系统构成中度至高度风险（即，藻类、无脊椎动物、鱼类）的影响。随机风险建模表明，流出物衍生CEC的风险降低，但仍然存在问题（即，RQ≥0.1）。因此，稀释来自风暴流的废水衍生化学品只能最低限度地降低废水为主的河流中水生生物群的风险。我们还模拟了流内运输。14种药物中有13种在河流河段（中位衰减速率常数k<0.1 h−1）持续存在沿着，并以高浓度进入爱荷华州河。饮用水处理厂的预测和测量浓度低于人体健康基准。这项研究表明，概率风险评估的应用程序中的一个代表性的污水为主的流在变流量条件下（当测量是不切实际的），并提供了一个增强的预测工具转移到其他污水为主的系统。
Wastewater effluent-dominated streams are becoming increasingly common worldwide, including in temperate regions, with potential impacts on ecological systems and drinking water sources. We recently quantified the occurrence/ spatiotemporal dynamics of pharmaceutical mixtures in a representative temperate-region wastewater effluent-dominated stream (Muddy Creek, Iowa) under baseflow conditions and characterized relevant fate processes. Herein, we quantified the ecological risk quotients (RQs) of 19 effluent-derived contaminants of emerging concern (CECs; including: 14 pharmaceuticals, 2 industrial chemicals, and 3 neonicotinoid insecticides) and 1 run-off-derived compound (atrazine) in the stream under baseflow conditions, and estimated the probabilistic risks of effluent-derived CECs under all-flow conditions (i.e., including runoff events) using stochastic risk modeling. We determined that 11 out of 20 CECs pose medium-to-high risks to local ecological systems (i.e., algae, invertebrates, fish) based on literature-derived acute effects under measured baseflow conditions. Stochastic risk modeling indicated decreased, but still problematic, risk of effluent-derived CECs (i.e., RQ≥0.1) under all-flow conditions when runoff events were included. Dilution of effluent-derived chemicals from storm flows thus only minimally decreased risk to aquatic biota in the effluent-dominated stream. We also modeled in-stream transport. Thirteen out of 14 pharmaceuticals persisted along the stream reach (median attenuation rate constant k<0.1 h−1) and entered the Iowa River at elevated concentrations. Predicted and measured concentrations in the drinking water treatment plant were below the human health benchmarks. This study demonstrates the application of probabilistic risk assessments for effluent-derived CECs in a representative effluent-dominated stream under variable flow conditions (when measurements are less practical) and provides an enhanced prediction tool transferable to other effluent-dominated systems.
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