Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL, A1B 3X5, Canada.
Environ Monit Assess. 2018 Feb 10;190(3):132. doi: 10.1007/s10661-018-6508-7.
Ozonation has been recently proposed as a treatment option to remove toxic and recalcitrant organics from offshore produced water (OPW). In this study, experimental and modeling approaches were used to investigate the removal of polycyclic aromatic hydrocarbons (PAHs) from OPW by ozonation. It was found that ozonation can effectively remove PAHs by following the pseudo first-order kinetic model, which could cover both direct and indirect ozonation pathways. The decay rate constants of most PAHs were as low as 0.01-0.16 min, possibly due to the interference caused by OPW matrix. The effects of ozone dose, bubble size, pH, and temperature on five representative PAHs were investigated along with their possible interactions. Based on the experimental results, a novel multi-output adaptive network-based fuzzy inference system (MO-ANFIS) was developed to model the removal of four individual PAHs and total PAHs. The overall RMSE and R between measured and modeled removal rates were 6.60% and 0.98, respectively, indicating a good model fit. This study demonstrated the effectiveness of ozonation in OPW treatment and the potential applicability of MO-ANFIS for process modeling and control.
臭氧氧化法最近被提议作为一种处理方案，用于去除近海采出水（OPW）中的有毒和难降解有机物。在这项研究中，采用实验和建模方法研究了臭氧氧化法去除 OPW 中多环芳烃（PAHs）的效果。结果表明，臭氧氧化法可以通过遵循准一级动力学模型有效地去除 PAHs，该模型可以涵盖直接和间接的臭氧氧化途径。大多数 PAHs 的衰减速率常数低至 0.01-0.16 min，这可能是由于 OPW 基质的干扰所致。还研究了臭氧剂量、气泡大小、pH 值和温度对 5 种代表性 PAHs 的影响及其可能的相互作用。基于实验结果，开发了一种新型多输出自适应网络模糊推理系统（MO-ANFIS），用于模拟 4 种单一组分 PAHs 和总 PAHs 的去除。实测和模拟去除率之间的总体 RMSE 和 R 分别为 6.60%和 0.98，表明模型拟合良好。这项研究证明了臭氧氧化法在 OPW 处理中的有效性，以及 MO-ANFIS 用于过程建模和控制的潜在适用性。
