INRAE, UR REVERSAAL, 5 Rue de La Doua, CS 20244, F-69625, Villeurbanne Cedex, France; INRAE, UR RiverLy, F-69625, Villeurbanne Cedex, France.
INRAE, UR RiverLy, F-69625, Villeurbanne Cedex, France.
Chemosphere. 2021 Jan;262:127969. doi: 10.1016/j.chemosphere.2020.127969. Epub 2020 Aug 14.
Micropollutants like pharmaceuticals, hormones and pesticides are still found in treated municipal wastewater. An effective way to degrade micropollutants is to use oxidants such as ozone or hydroxyl radicals. We designed an innovative experimental protocol combining batch experiments and a study of a full-scale WWTP to understand and predict the removal via ozonation of typical micropollutants present in secondary treated effluents. First, the direct and indirect ozonation of 47 organic micropollutants was scrutinized, then a model was developed and calibrated to simulate the ozone transfers and the oxidation of the selected micropollutants. The kinetic rate constants between micropollutants and ozone or hydroxyl radicals (OH) were determined for 47 micropollutants found in secondary treated effluent. We classified the micropollutants into low- (k between 1.50 and 4.47 × 10 L mol. s), medium- (k between 1.31 × 10 and 4.92 × 10 L mol. s) and high-oxidizable groups (k between 9.44 × 10 and 8.18 × 10 L mol. s) according to their reactivity with ozone, and identified the major degradation pathways for all 47 micropollutants. Micropolluants of the low- and medium-oxidizable groups were largely eliminated by the indirect pathway, at 96% and 84% on average, respectively. In contrast, micropollutants of high-oxidizable group were largely eliminated by the direct pathway, at 98% on average. The model successfully simulated the direct and indirect ozonation of the 47 micropollutants in batch experiments and confirmed the predominant pathways for each group. Finally, the model was applied to the full-scale ozonation process operated at an ozone dose ranging from 0.5 to 1.6 gO. gDOC. The model was found to reliably simulate the ozonation-process removal efficiencies for 4 micropollutants (imidacloprid, fenofibric acid, metronidazole and ketoprofen).
像药品、激素和农药这样的微污染物仍存在于处理过的城市废水中。降解微污染物的有效方法是使用氧化剂,如臭氧或羟基自由基。我们设计了一个创新的实验方案,结合批处理实验和全尺寸 WWTP 的研究,以了解和预测二级处理废水中存在的典型微污染物通过臭氧氧化的去除。首先,仔细研究了 47 种有机微污染物的直接和间接臭氧氧化,然后开发并校准了一个模型来模拟臭氧转移和所选微污染物的氧化。在二级处理废水中发现的 47 种微污染物之间的臭氧和羟基自由基(OH)的动力学速率常数被确定。我们将微污染物分为低(k 在 1.50 和 4.47×10 L mol s 之间)、中(k 在 1.31×10 和 4.92×10 L mol s 之间)和高可氧化组(k 在 9.44×10 和 8.18×10 L mol s 之间)根据它们与臭氧的反应性,并确定了所有 47 种微污染物的主要降解途径。低和中可氧化组的微污染物主要通过间接途径消除,平均分别为 96%和 84%。相比之下,高可氧化组的微污染物主要通过直接途径消除,平均为 98%。该模型成功地模拟了 47 种微污染物在批处理实验中的直接和间接臭氧氧化,并证实了每个组的主要途径。最后,该模型应用于全尺寸臭氧氧化过程,臭氧剂量范围为 0.5 至 1.6 gO.gDOC。该模型被发现能够可靠地模拟 4 种微污染物(吡虫啉、非诺贝特酸、甲硝唑和酮洛芬)的臭氧氧化过程去除效率。