2024年 02期

摘要(Abstract)：

为了解决目前应用较广泛的膜种纳滤膜的膜污染极大地限制了纳滤膜工艺发展的问题，从而在错流过滤条件下更好地预测纳滤膜污染的过程，对减缓纳滤膜污染进行指导，基于逻辑斯谛方程，对纳滤膜通量衰减曲线进行拟合，建立逻辑斯谛纳滤膜污染预测模型；利用所建立模型对不同型号纳滤膜的膜通量衰减曲线进行拟合，考察污染物种类、纳滤膜型号、跨膜压差、错流速率、水力条件等关键因素对纳滤膜通量衰减速率的影响。结果表明：所建立模型通过了显著性检验，实验数据与所建立模型拟合数据的拟合度较高，决定系数R~2大于0.95;纳滤膜通量衰减速率越小，则过滤稳定后的纳滤膜通量累积衰减率越大，进而通过调整运行条件和原水质条件等因素，达到调整纳滤膜通量衰减速率，减少纳滤膜污染的目的。

关键词(KeyWords)： 膜污染;衰减速率;逻辑斯谛方程;纳滤膜;膜通量

基金项目(Foundation): 国家自然科学基金项目(51808257);; 山东省重点研发计划(公益性科技攻关类)项目(2019GSF109083);; 西部绿色建筑国家重点实验室开放基金项目(LSK201807)

作者(Author): 张超,张立卿,胡吉玉,刘贵彩

DOI: 10.13349/j.cnki.jdxbn.20230330.002

参考文献(References)：

[1] AKAMATSU K,KAGAMI Y,NAKAO S I.Effect of BSA and sodium alginate adsorption on decline of filtrate flux through poly-ethylene microfiltration membranes[J].Journal of Membrane Science,2020,594:117469.

[2] MA S S,LIN L G,WANG Q,et al.A new strategy to simultaneously improve the permeability and antifouling properties of EVAL membranes via surface segregation of macrocyclic supra-amphiphiles[J].Journal of Membrane Science,2020,595:117562.

[3] 王文琼，周吉阳，李健驹，等.乳清蛋白超滤过程中膜污染机制及监测方法研究进展[J].食品与发酵工业，2021,47(23):272.

[4] 魏源送，王健行，岳增刚，等.纳滤膜技术在废水深度处理中的膜污染及控制研究进展[J].环境科学学报，2017,37(1):1.

[5] REN L M,YU S L,YANG H J,et al.Chemical cleaning reagent of sodium hypochlorite eroding polyvinylidene fluoride ultrafiltration membranes:aging pathway,performance decay and molecular mechanism[J].Journal of Membrane Science,2021,625:119141.

[6] TAGHAVIJELOUDAR M,PARK J,HAN M,et al.A new approach for modeling flux variation in membrane filtration and experimental verification[J].Water Research,2019,166:115027.

[7] YANG Y,DENG W H,HU Y S,et al.Gravity-driven high flux filtration behavior and microbial community of an integrated granular activated carbon and dynamic membrane bioreactor for domestic wastewater treatment[J].Science of the Total Environment,2022,825:153930.

[8] CHEN H,GUO H,YE F,et al.Improving two-phase mass transportation under non-Darcy flow effect in orientated-type flow channels of proton exchange membrane fuel cells[J].International Journal of Hydrogen Energy,2021,46(41):21600.

[9] LOZADA G S L,LóPEZ A I G,MARTíNEZ-FéREZ A,et al.Boundary flux modelling of ceramic tubular microfiltration towards fouling control and performance maximization for olive-oil washing wastewater treatment and revalorization[J].Journal of Environmental Chemical Engineering,2022,10(2):107323.

[10] LUO H J,WANG Z.A new ultrasonic cleaning model for predicting the flux recovery of the UF membrane fouled with humic acid[J].Journal of Environmental Chemical Engineering,2022,10(2):107156.

[11] PARK J,LEE S,YOU J,et al.Evaluation of fouling in nano-filtration for desalination using a resistance-in-series model and optical coherence tomography[J].Science of the Total Environment,2018,642:349.

[12] GAO Y H,QIN J,WANG Z W,et al.Backpulsing technology applied in MF and UF processes for membrane fouling mitigation:areview[J].Journal of Membrane Science,2019,587:117136.

[13] IRITANI E,KATAGIRI N,YAMAOKA Y.Filtration behaviors of suspension of dual-sized submicron particles through semi-permeable microfiltration membrane[J].Journal of the Taiwan Institute of Chemical Engineers,2019,94:62.

[14] LABBAN O,LIU C,CHONG T H.Fundamentals of low-pressure nanofiltration:membrane characterization,modeling,and understanding the multi-ionic interactions in water softening[J].Journal of Membrane Science,2017,521:18.

[15] 刘冲，吕晓龙，武春瑞，等.关于超滤膜临界运行通量的探讨[J].膜科学与技术，2017,37(1):23.

[16] CAN Y,ZHANG L F,GENG Y X,et al.Evaluation of the permeability and potential toxicity of polycyclic aromatic hydrocarbons to pulmonary surfactant membrane by the parallel artificial membrane permeability assay model[J].Chemosphere,2022,290:132485.

[17] MIR N,BICER Y.Thermodynamic modeling of a combined photo-electrodialysis-chloralkali system for sustainable desalination[J].Desalination,2021,499:114822.

[18] YI X S,YU S L,SHI W X,et al.Estimation of fouling stages in separation of oil/water emulsion using nano-particles Al2O3/TiO2 modified PVDF UF membranes[J].Desalination,2013,319:38.

[19] 尚文涛.纳滤过程浓差极化行为特征与LIF-PIV可视化表征研究[D].哈尔滨：哈尔滨工业大学，2017.

[20] 代涛，徐学军，黄显峰.离散Logistic人口增长预测模型研究[J].三峡大学学报(自然科学版),2010,32(5):103.