Beryani Ali, Flanagan Kelsey, Viklander Maria, Blecken Godecke-Tobias
Department of Civil, Environmental, and Natural Resources Engineering, Luleå University of Technology, 97187 Luleå, Sweden.
Department of Civil, Environmental, and Natural Resources Engineering, Luleå University of Technology, 97187 Luleå, Sweden.
J Hazard Mater. 2024 Sep 5;476:135200. doi: 10.1016/j.jhazmat.2024.135200. Epub 2024 Jul 13.
The study assessed the quality of highway runoff and a stormwater treatment system, focusing on intra-event variations (IEVs: variations within a runoff/effluent event) of the concentration of organic micropollutants (OMPs) including bisphenol-A, alkylphenols, polycyclic aromatic hydrocarbons (PAHs), and petroleum hydrocarbons (PHCs). IEVs of OMPs varied considerably with no particular recurring pattern in highway runoff and presedimentation effluent, displaying sporadic strong first flushes. IEVs are significantly associated with rainfall intensity variations, especially for particle-bound substances such as PAHs and PHCs. However, phenolic substances showed distinct IEV patterns compared to total suspended solids, PAHs, and PHCs, likely due to their higher solubility and mobility. Downstream sand filter (SF) and vegetated biofilter (BFC) mitigated IEVs, leading to more uniform discharge during outflow events. Although BFC's IEVs were indiscernible due to low effluent concentrations, SF's IEVs often peaked at the beginning of events (within the first 100 of ⁓600 m), exceeding the lowest predicted non-effect concentrations for five PAHs, bisphenol-A, and octylphenol. This study highlights the advantage of IEV analysis over conventional event mean concentration analysis for identifying critical effluent stages, crucial for developing control strategies to protect sensitive water recipients or for reuse applications.
该研究评估了公路径流和雨水处理系统的质量，重点关注有机微污染物（OMPs）浓度的事件内变化（IEVs：径流/排放事件中的变化），这些有机微污染物包括双酚A、烷基酚、多环芳烃（PAHs）和石油烃（PHCs）。OMPs的IEVs在公路径流和预沉淀排放中变化很大，没有特定的重复模式，呈现出零星的强初期冲刷现象。IEVs与降雨强度变化显著相关，尤其是对于PAHs和PHCs等颗粒结合物质。然而，与总悬浮固体、PAHs和PHCs相比，酚类物质呈现出不同的IEV模式，这可能是由于它们更高的溶解度和流动性。下游砂滤器（SF）和植被生物滤池（BFC）减轻了IEVs，导致流出事件期间排放更加均匀。尽管由于出水浓度低，BFC的IEVs难以辨别，但SF的IEVs通常在事件开始时（在约600米的前100米内）达到峰值，超过了五种PAHs、双酚A和辛基酚的最低预测无效应浓度。这项研究强调了IEV分析相对于传统事件平均浓度分析在识别关键排放阶段方面的优势，这对于制定保护敏感水体受体的控制策略或再利用应用至关重要。
