Xiong Juan, Zuo Xingtao, Zhang Shi, Liao Wei, Chen Zhongbing
College of Science, Huazhong Agricultural University, Wuhan 430070, China.
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China E-mail:
Water Sci Technol. 2019 May;79(10):1844-1852. doi: 10.2166/wst.2019.167.
Identifying the fouling degree of a membrane bioreactor (MBR) provides guidance on the determination of suitable membrane cleaning methods. There is still a lack of knowledge on the effects of powdered activated carbon (PAC) refresh ratio on the MBR fouling mechanism. Major fouling mechanisms of an MBR with constant flow rate at different PAC replenishment ratios were investigated by individual and combined mechanistic fouling models. The root mean square errors were employed to assess the prediction accuracy of the used fouling models. The combined models showed better prediction. The cake-complete model provided far better fits of the transmembrane pressure data, and provided good fits of other individual model predictions regardless of the PAC refreshment ratio. Fourier transform infrared spectroscopy, scanning electron microscopy and energy dispersive X-ray spectroscopy confirmed that the cake layer clogging was the main fouling mechanism followed by complete blockage and standard plugging. The cake-complete model may be used to predict the fouling mechanisms in PAC/MBR systems.
确定膜生物反应器（MBR）的污染程度可为确定合适的膜清洗方法提供指导。目前对于粉末活性炭（PAC）补充率对MBR污染机制的影响仍缺乏了解。通过单独和组合的机理污染模型，研究了不同PAC补充率下恒流MBR的主要污染机制。采用均方根误差来评估所使用的污染模型的预测准确性。组合模型显示出更好的预测效果。滤饼-完全模型对跨膜压力数据的拟合效果要好得多，并且无论PAC补充率如何，对其他单个模型预测的拟合效果也很好。傅里叶变换红外光谱、扫描电子显微镜和能量色散X射线光谱证实，滤饼层堵塞是主要的污染机制，其次是完全堵塞和标准堵塞。滤饼-完全模型可用于预测PAC/MBR系统中的污染机制。
