Reduction of VOC emissions by a membrane-based gas absorption process

A membrane-based gas absorption (MGA) process was evaluated for the removal of volatile organic compounds (VOCs) based on C6H6/N2 mixture. The absorption of C6H6 from a C6H6/N2 mixture was investigated using a hydrophobic polypropylene hollow fiber membrane contactor and the aqueous solution of N-formyl morpholine (NFM) as absorbent. The effects of various factors on the overall mass transfer coefficient was investigated. The experimental results showed that the removal efficiency of C6H6 could reach 99.5% ...     

活性炭纤维负载氧化镧催化净化NO的实验研究

以ACF作为载体制备了负载不同质量分数La₂O₃的负载型催化剂,研究了它们催化净化NO的活性和活性的稳定性,同时对比研究了ACF、HNO₃/ACF净化NO的能力.正交实验结果表明,实验中最佳的氧气体积分数为5%,最佳空速为5 000 m³·(m³·h)^-1;催化实验结果表明,ACF的低温活性很差,HNO₃/ACF净化NO的低温活性很好,但是其活性的稳定性很差;负载了La₂O₃的ACF能大幅提升ACF净化NO的能力,其活性中心为La₂O₃,La₂O₃的最佳负载量为20%,350℃以上时,20% La₂O₃/ACF催化净化NO的效率均在95%以上,在200℃恒温条件下,其催化活性约能持续8h;催化剂的理化特征实验结果表明,ACF、HNO₃/ACF净化NO的机制与负载了La₂O₃的ACF净化NO的机制有着本质的区别.     

不同尺寸的玄武岩纤维填料的污水处理效能评价

试验选用不同尺寸的玄武岩纤维(BF)填料(长度分别为10,15,20 cm),通过改变进水负荷和溶解氧(DO)浓度来研究基于BF填料的序批式生物膜反应器(SBBR)的污水处理效果。结果表明:随着进水负荷的增加,尺寸为15 cm的BF填料略优,可实现出水ρ(COD)50 mg/L,ρ(NH_3-N)1 mg/L。随后,考察不同尺寸BF填料在不同DO浓度下的处理效果,结果显示ρ(DO)在2～3 mg/L时出水效果最优。胞外聚合物(EPS)分析显示,15 cm的BF填料EPS含量最高,稳定性最好。试验中选用的BF填料和活性污泥之间吸附、缠绕,形成厘米级以上的巢状微生物聚集体,拥有好氧、厌氧区域,传质良好,具有脱氮除碳功能。试验为BF填料在实际污水中处理应用提供了研究基础和理论依据。     

纺织服装产业可持续发展的生态思考

纺织服装产业已成为我国少数具有一定国际竞争优势的支柱产业,然而骄人的业绩背后却隐藏着较大的生态隐忧。本文通过大量数据分析了产业生产与消费对资源能源的过度消耗及其分布、对生态环境造成的负面影响,进而有针对性地提出产业走可持续的“新型工业化”道路应采取的主要生态经济措施。     

活性炭纤维对丁酮废气的吸附和再生性能研究

研究了粘胶基活性炭纤维(ACF)对丁酮废气的动态吸附行为、吸附条件及水蒸气解吸再生性能等,包括进气浓度、气流速度、ACF填充量、水蒸气再生条件对活性炭纤维吸附丁酮过程的影响。研究结果表明:高浓度、低流速、高填充量均有利于吸附;ACF经水蒸气解吸、空气吹脱,可实现ACF的再生。     

光催化-膜分离组合工艺降解斯蒂芬酸的研究

研究了利用光催化-膜分离组合工艺降解斯蒂芬酸废水.通过对中空纤维微滤膜进行预处理,提高了膜的亲水性,降低了膜的固有阻力.对反应装置进行长达一个月的连续运行效果考察,中空纤维膜对二氧化钛粒子能达到完全的截留,并在长期运行中二氧化钛的光催化降解斯蒂芬酸的效率能保持稳定,从而保证了光催化反应的连续进行,很好地做到了二氧化钛光催化剂的回收再利用,具有一定的实用性.     

界面层对纤维增韧陶瓷基复合材料力学性能影响的研究进展

以短切碳纤维增韧陶瓷基复合材料、连续碳纤维增韧陶瓷基复合材料、碳化硅纤维增韧陶瓷基复合材料为对象,综述了近年来关于界面层对FTCMCs破坏模式影响的实验研究工作。从微观力学模型建立、多尺度损伤分析两方面总结归纳了考虑界面层的FTCMCs力学性能模拟分析方法,提出建立切合实际的物理模型以及开发更先进的多尺度分析方法,是解决复杂服役环境下FTCMCs性能表征难题的有效途径。通过多场耦合多尺度建模分析方法来表征和优化FTCMCs的复杂服役环境下性能,系统揭示界面层等微观结构与宏观复合材料性能的对应关系,进而指导工艺设计,均是未来纤维增韧陶瓷基复合材料界面层的重点研究方向。     

活性炭纤维对Cu2＋吸附性能的研究

研究了pH值、吸附接触时间、铜离子的初始浓度及活性炭纤维（ACF）的投加量对活性炭纤维吸附Cu2＋的影响,并选取了最佳的实验条件。用Langmuir方程和Freundlich方程拟合活性炭纤维对Cu2＋吸附等温线,结果表明：活性炭纤维吸附Cu2＋更符合Langmuir等温式,其相关系数为0．9995,以单分子层吸附为主。对活性炭纤维改性能明显提高对Cu2＋的吸附,其中效果最佳的吸附量从4．8mg／g增加到17．32mg／g,提高了3．6倍。     

为时尚清污:纺织品牌供应链的绿色改造

中国纺织业对"中国制造"的世界地位起到了显著的推动作用,并创造了大量的就业机会。与此同时,纺织业所带来的污染不仅加剧了中国生态环境危机,而且影响了人们的健康和生活品质。而突破纺织业的污染困境需要政府、消费者、环保组织的共同参与,更需要纺织业供应链朝着绿色生产的方向改进。     

Heterogeneous Fenton degradation of azo dyes catalyzed by modified polyacrylonitrile fiber Fe complexes：QSPR (quantitative structure peorperty relationship) study

The amidoximated polyacrylonitrile (PAN) fiber Fe complexes were prepared and used as the heterogeneous Fenton catalysts for the degradation of 28 anionic water soluble azo dyes in water under visible irradiation. The multiple linear regression (MLR) method was employed to develop the quantitative structure property relationship (QSPR) model equations for the decoloration and mineralization of azo dyes. Moreover, the predictive ability of the QSPR model equations was assessed using Leave-one-out (LOO) and cross-validation (CV) methods. Additionally, the effect of Fe content of catalyst and the sodium chloride in water on QSPR model equations were also investigated. The results indicated that the heterogeneous photo-Fenton degradation of the azo dyes with different structures was conducted in the presence of the amidoximated PAN fiber Fe complex. The QSPR model equations for the dye decoloration and mineralization were successfully developed using MLR technique. MW/S (molecular weight divided by the number of sulphonate groups) and NN=N (the number of azo linkage) are considered as the most important determining factor for the dye degradation and mineralization, and there is a significant negative correlation betweenMW/S or NN=N and degradation percentage or total organic carbon (TOC) removal. Moreover, LOO and CV analysis suggested that the obtained QSPR model equations have the better prediction ability. The variation in Fe content of catalyst and the addition of sodium chloride did not alter the nature of the QSPR model equations.