对活性污泥—膜生物反应器、生物膜—膜生物反应器、复合式膜生物反应器的除污效果和膜污染趋势进行了研究。
Pollutants removal efficiency and membrane fouling in activated sludge-membrane bioreactor (MBR), biofilm-MBR, and composite MBR were studied.
在分析了膜生物反应器内物质传递和水力旋流器内流态特征的基础上，提出了三相旋转流膜生物反应器概念。
Based on the analysis of material transfer in MBR and the state of flow in hydro-cyclone, the conception of MBR with three-state rotating fluid was proposed.
人工神经网络为膜生物反应器膜污染预测的研究提供了新的思路，是膜生物反应器优化控制的有效工具。
Artificial neural network offers a new approach to its study and prediction of membrane fouling, which is an effective tool to optimize membrane bioreactor operating conditions.
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