环境工程学报2025，Vol.19Issue(8)：1868-1881,14.DOI:10.12030/j.cjee.202412073
面向高盐废水分盐的纳滤膜评估及其优选策略
Evaluation and optimization strategy of nanofiltration membranes for high-salinity wastewater salt fractionation
摘要
Abstract
Nanofiltration(NF)membranes are widely used in the desalination of high-salinity wastewater.However,selecting optimal NF membranes for different types of high-salinity wastewater remains a challenge in this field.This study evaluated the effects of salt concentration,operating pressure,temperature gradient,solution pH,and water recovery rate on the separation and permeation performance of several NF membranes,proposing a membrane selection strategy.The results demonstrated that the NF1 membrane exhibited excellent sulfate(SO42-)rejection(＞95％),making it suitable for treating chemical and metal-processing wastewater with high sulfate content.In contrast,the NF3 membrane showed lower chloride(Cl-)rejection(except under high water recovery conditions)and the highest permeation flux,rendering it ideal for applications such as electroplating wastewater treatment and resource recovery from certain industrial effluents.Through multi-factor analysis,an evaluation matrix was established and normalized using range standardization.The weighted composite scores revealed that NF membrane performance is significantly influenced by operational conditions,displaying complex response characteristics.When evaluated against coal chemical wastewater treatment criteria(high permeation flux,high SO42-rejection,and low Cl-rejection),the NF2 membrane outperformed the other three membranes,achieving a comprehensive score of 0.780 based on our customized selection model.These findings provide critical data to guide NF membrane optimization for industrial applications.关键词
高盐废水/分盐/截留率/渗透/纳滤膜Key words
high-salinity wastewater/salt fractionation/rejection rate/permeation/nanofiltration membrane分类
资源环境引用本文复制引用
刘润杰,李枫,张宇衡,姚鸣铎,苑宏英,侯得印..面向高盐废水分盐的纳滤膜评估及其优选策略[J].环境工程学报,2025,19(8):1868-1881,14.基金项目
国家重点研发计划"高盐废水低成本浓缩与废盐资源化关键技术"课题(2023YFC3207002) （2023YFC3207002）
