Department of Civil and Environmental Engineering, Amirkabir University of Technology (AUT), Hafez St, Tehran, 15875-4413, Iran.
Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Narutowicza Street 11/12, 80-233, Gdansk, Poland.
J Environ Manage. 2022 Dec 1;323:116146. doi: 10.1016/j.jenvman.2022.116146. Epub 2022 Sep 12.
Various derivatives of Hermia models (complete pore blocking, intermediate pore blocking, cake layer formation, and standard pore blocking) and different assessments of foulant characteristics have long been used to determine the membrane fouling mechanisms. Accordingly, this study aims to adapt Hermia models and their combination according to the operating conditions of an anoxic-aerobic sequencing batch membrane bioreactor (A/O-SBMBR). In addition, fouling mechanisms of the A/O-SBMBR were assessed using these models along with the main foulant characteristics. Models fitting with the transmembrane pressure (TMP) data indicated that the intermediate-standard model was accounting for the increased fouling during the whole regular operating period, with the residual sum of squares (RSS) of 58.3. A more detailed study on the distinct stages of TMP curve showed that the intermediate-standard model had the best fit in stages of 2 and 3, with the RSS equal to 2.6 and 2.8, respectively. Also, the complete-standard model provided the best description of the fouling mechanism in stage 4, with the RSS of 12.5. Different analyzes revealed how the main foulant characteristics affect the occurrence of intermediate, complete and standard fouling mechanisms in the A/O-SBMBR, which is consistent with the fitting results of the adapted Hermia models. The modeling and experimental methods used in the presented study provided a valuable basis to prevent and control membrane fouling in membrane bioreactors.
各种 Hermia 模型的衍生物(完全孔阻塞、中间孔阻塞、滤饼层形成和标准孔阻塞)和不同的污染物特性评估方法长期以来一直用于确定膜污染机制。因此,本研究旨在根据缺氧-好氧序批式膜生物反应器(A/O-SBMBR)的运行条件,对 Hermia 模型及其组合进行适配。此外,还使用这些模型以及主要污染物特性来评估 A/O-SBMBR 的污染机制。与跨膜压力(TMP)数据拟合良好的模型表明,中间-标准模型在整个常规运行期间解释了增加的污染,剩余平方和(RSS)为 58.3。对 TMP 曲线不同阶段的更详细研究表明,在阶段 2 和 3 中,中间-标准模型的拟合效果最佳,RSS 分别为 2.6 和 2.8。此外,在阶段 4 中,完全-标准模型对污染机制的描述最佳,RSS 为 12.5。不同的分析揭示了主要污染物特性如何影响 A/O-SBMBR 中中间、完全和标准污染机制的发生,这与适配的 Hermia 模型的拟合结果一致。本研究中使用的建模和实验方法为防止和控制膜生物反应器中的膜污染提供了有价值的基础。