摘要
通过对焦化废水尾水进行超滤分级实验和XAD-8/XAD-4吸附树脂分离,将焦化尾水中有机物的相对分子质量分为≥100×10~3、10×10~3～<100×10~3、4×10~3～<10×10~3、10~3～<4×10~3和<10~3这5个区间,对每个分子量区间的滤液经联合树脂分离为疏水酸、疏水中性物质、弱疏水物质和亲水物质4类有机物,分析了焦化尾水中有机物的分布规律。结果表明,焦化尾水中主要以相对分子质量>10×10~3的大分子量有机物和<10~3的小分子量有机物为主,疏水酸的DOC的质量分数为45.88%,是焦化尾水中主体有机物,其多分布在相对分子质量<10~3区间,且此类有机物中含有较多难降解芳香性化合物。焦化尾水深度处理可优先考虑混凝、过滤工艺,再以高级氧化工艺去除DOC,联合吸附工艺除去小分子物质。
Ultra-filtration and organic matter resin separation were used to analyze the relative molecular mass distribution(MW) and hydrophobicityhydrophilicity of organic compounds in coking wastewater. Coking wastewater was separated into Mm≥100×10^3, 10×10^3~<100×10^3, 4×10^3~<10×10^3,10^3~<4×10^3 and <10^3, and in every of those molecular weight distribution the filtrate were separated by XAD-8 and XAD-4 resin into four types of organic matter, that is, hydrophobic-acid fraction(HPO-A), hydrophobic-neutral fraction(HPO-N), tranphilic fraction(TPI), and hydrophilic fraction(HPI).Organic matter distribution discipline in samples was analyzed. The results showed that coking wastewater was more contributed by organic matter Mm>10×10^3 and MW <10^3, DOC mass fraction of hydrophobic acids was 45.88% which mainly distributed in Mm <103, and the structure of organic compound contains more unsaturated aromatic compounds. The advanced treatment of coking wastewater should give priority to coagulation, filtration process, then using advanced oxidation to remove DOC and combined with adsorption process to remove micromolecule matter.
作者
成路姣
陈莉荣
谷振超
樊健
张凯
CHENG Lujiao;CHEN Lirong;GU Zhenchao;FAN Jian;ZHANG Kai(School of Energy and Environment,Inner Mongolia University of Science and Technology,Baotou 014010,China)
出处
《水处理技术》
CAS
CSCD
北大核心
2019年第5期121-125,131,共6页
Technology of Water Treatment
基金
内蒙古自治区自然科学基金项目(2017MS(LH)0212
2016MS0209)
内蒙古科技大学创新基金项目(2017QDL-B15)
关键词
焦化尾水
污染物特性
相对分子质量
树脂分离
coking wastewater
pollutant characteristics
relative molecular weight distribution
resin separation
作者简介
成路姣(1991-)女,硕士研究生,研究方向为高级氧化技术处理工业废水联系电话:15540113651;电子邮件:514877151@qq.com;通讯作者:陈莉荣,教授;电子邮箱:chenlirong@imust.com.
