Environmental Simulation and Pollution Control State Key Joint Laboratory, State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (SMARC), School of Environment, Tsinghua University, Beijing 100084, PR China.
Environmental Simulation and Pollution Control State Key Joint Laboratory, State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (SMARC), School of Environment, Tsinghua University, Beijing 100084, PR China.
Environ Int. 2020 Jul;140:105744. doi: 10.1016/j.envint.2020.105744. Epub 2020 Apr 27.
During the operation of the RO system, it's significant to predict the flux change over time. Previous research conducted detailed exploration on the dynamics of RO membrane fouling, and provided a solid database for modelling. In this study, a modified intermediate blocking model with two parameters was proposed to describe the flux change of RO membranes under a huge variety of conditions. Raw data reported by over 20 research groups from 11 different countries was used to validate the feasibility of this model. It proved applicable to describe the flux change of RO membranes fouled by pure organic matter or mixture and tertiary treated wastewater. In order to reveal the relationship between model parameters and foulant concentrations, RO membrane fouling behaviors of typical foulants (sodium alginate (SA), bovine serum albumin (BSA) and mixture) were further investigated. We found that the change of model parameters with SA concentrations was in accordance with Langmuir adsorption isotherm model. Therefore, the model parameters could be calculated by SA concentrations under certain optional conditions, and then the flux change could be predicted by this model. In this way, a novel time-course model was established, which could predict the flux change of RO membranes over time only with SA concentrations. Besides, the synergic effect between SA and BSA on RO membrane fouling was directly quantified.
在 RO 系统运行过程中，预测通量随时间的变化是很重要的。先前的研究对 RO 膜污染动力学进行了详细的探索，并为建模提供了坚实的数据库。本研究提出了一种具有两个参数的改进的中间堵塞模型，以描述 RO 膜在各种条件下的通量变化。该模型使用了来自 11 个不同国家的 20 多个研究小组报告的原始数据进行验证，证明了其可行性。该模型适用于描述由纯有机物或混合物和三级处理废水引起的 RO 膜通量变化。为了揭示模型参数与污染物浓度之间的关系，进一步研究了典型污染物（海藻酸钠（SA）、牛血清白蛋白（BSA）和混合物）对 RO 膜污染行为的影响。我们发现，模型参数随 SA 浓度的变化符合 Langmuir 吸附等温线模型。因此，在某些可选条件下，可以通过 SA 浓度计算模型参数，然后通过该模型预测通量变化。这样，建立了一个新的时间过程模型，只需 SA 浓度即可预测 RO 膜随时间的通量变化。此外，还直接量化了 SA 和 BSA 对 RO 膜污染的协同作用。
