正渗透技术在污水资源化中的研究进展

<正>渗透技术(FO)是一种以半透膜两侧溶液渗透压之差作为水分子跨膜驱动力的绿色膜分离技术。介绍了FO的原理及其对污染物的截留率较高、能耗小、膜寿命较长、不易发生膜污染且污染后的膜清洗更简单等优点。综述了FO在污水资源化领域的研究进展和应用现状,分析了目前应用中存在的主要问题,指出完善基础理论、研发膜材料、回收驱动液等是未来FO的主要发展方向。     

反渗透与低温多效法海水淡化工艺在电站应用中的比较

海水淡化是淡水资源紧缺的沿海电厂向海洋获取新鲜淡水的主要方式，目前主要有反渗透膜法和低温多效热法等技术路线。对上述两种技术从工艺、技术经济性等方面进行综合比较，分析各自的优势及存在的不足。最后根据舟山地域特点及地区海水淡化规划，推荐适合舟山电厂的海水淡化技术。     

Fered-Fenton法处理石化废水反渗透浓水

以Ti金属网为阴极、Ti负载RuO2金属网为阳极,构建Fered-Fenton反应系统,处理石化废水反渗透膜法浓水.考察H2O2浓度、Fe2+浓度、初始pH值和电流密度等因素对废水处理效果的影响,并分析了废水可生化性及污染物降解规律.结果表明,在H2O2浓度为75.0 mmol/L,Fe2+浓度为7.5 mmol/L,初始pH值为3.0,电流密度为5.1 mA/cm2的条件下,反应120 min后废水TOC可由198.2 mg/L降到99.6 mg/L,有机污染物矿化率达到49.7％,BOD5/COD由0.11提高至0.31,废水可生化性明显改善.三维荧光光谱(EEM)分析结果表明,Fered-Fenton法对废水中类蛋白、类富里酸等荧光有机物去除率达到66.7％,该类大分子难降解有机物的氧化降解有利于改善废水可生化性,为进一步的生化处理创造了良好的条件.     

反渗透装置处理炼油污水的优化运行

通过对反渗透装置初次化学清洗时进水水质、运行情况、反渗透系统进水端和浓水端情况、保安过滤器滤芯情况分析,确定造成膜污染的主要原因,并针对这些原因采取化学清洗、运行管理等一定措施。措施实施后:反渗透运行周期均有所增加,特别是1#反渗透装置,运行周期增至2 414h,达到健康运行要求。     

应用反渗透技术处理垃圾填埋场渗滤液

垃圾填埋场渗滤液属于高浓度氨氮废水，其水量、水质特性变化大，成分复杂，因此较难处理。反渗透分离技术能有效截留垃圾渗滤液中溶解态的有机和无机污染物。采用三级反渗透处理垃圾渗滤液工艺处理后的出水水质，能够满足《生活垃圾填埋污染控制标准》（DB16889-2008）要求，并把渗滤液浓缩液回灌于填埋场。     

Evaluating efforts to build sustainable WEEE reverse logistics network design: comparison of regulatory and non-regulatory approaches

Many developing countries such as Turkey are still making an effort on building an infrastructure for waste of electrical and electronic equipment (WEEE) reverse logistic network design (RLND) processes. It is obvious that policies/laws/regulations related to WEEE management provide a sustainable framework for implementation in the RLND. The question is here: Does the implementation of WEEE directives make sense in terms of reducing the total cost of the network in the long term? This study aims to compare regulatory and non-regulatory situations of WEEE RLND in developing countries by formulating two models named as ‘regulatory’ and ‘non-regulatory’. Model 1 is considered as sustainable with economic, environmental and social goals, and the quotas imposed by the environmental directive are taken into consideration as the data of product return amount. In Model 2, only economic goal is considered, and product return amount is forecasted using Artificial Neural Network (ANN). A case study is conducted in a recycling company in order to evaluate performance of the proposed models. This study contributes to the relevant literature by (1) comparing the regulatory and non-regulatory situations RL models explicitly and (2) proposing ANN model to forecast EEE product return or WEEE quantity for non-regulatory situation.     

Denitrification and microbial community in MBBR using A. donax as carbon source and biofilm carriers for reverse osmosis concentrate treatment

In this study,raw Arundo donax(A.donax)pieces were applied as carbon source and biofilm carriers for denitrification in a lab-scale moving bed biofilm reactor(MBBR)for the treatment of reverse osmosis concentrate gathered from local wastewater reuse plant.At stable phase(about 60 days),efficient denitrification performance was obtained with73.2%±19.5%NO_(3-)~-N average removal and 8.10±3.45 g N/(m~3·day)NO_(3-)~-N average volumetric removal rate.Mass balance analysis showed that 4.84 g A.donax was required to remove 1 g TN.Quantitative real-time PCR analysis results showed that the copy numbers of 16S r-RNA,narG,nirS,nosZ and anammox gene of carrier biofilm and suspended activated sludge in the declination phase(BF2 and AS2)were lower than those of samples in the stable phase(BF1 and AS1),and relatively higher copy numbers of nirS and nirK genes with lower abundance of narG and nosZ genes were observed.High-throughput sequencing analysis was conducted for BF2 and AS2,and similar dominant phyla and classes with different abundance were obtained.The class Gammaproteobacteria affiliated with the phylum Proteobacteria was the most dominant microbial community in both BF2(52.6%)and AS2(41.7%).The PICRUSt prediction results indicated that 33 predictive specific genes were related to denitrification process,and the relative abundance of 18 predictive specific genes in BF2 were higher than those in AS2.     

基于三维扫描的服装面积因子测评

为计算服装面积因子,引入先进的三维扫描技术,分别扫描裸体和着装下的人体,获取点云数据。本文创建应用逆向工程软件Rapidform2006修复重建人体模型的合理流程,分别用现有的像素替代方法和新引进的逆向工程软件方法计算服装面积因子。实践证明,使用逆向工程软件重建人体模型,直接获得面积数值与现有的像素替代法间没有显著性差异,但是能大幅度减少测评周期。     

无烟粉精煤生产优质造气型煤的研究

介绍了新研制的桃水造气型煤,论术了无烟粉精煤的性质,XMK型复合粘结剂的研究,复合粘结剂的作用机理、造气型煤的特性和生产工艺、工业造气试验。结果表明:桃水造气型煤是替代块煤的新型优质化肥造气原料。     

Falcon离心分选机回收废弃电路板金属的灰色模型研究

电子废弃物的资源化既能实现资源的二次利用,又能防止环境污染,具有重要的理论意义和应用价值。论述了Falcon离心分选机分选电路板的机制,并对小于0.5mm废弃电路板中金属富集体进行了分选试验。运用GM(0,N)模型对离心复合力场中回收废弃电路板建立了分选灰色模型,与实际分选结果比较表明,该模型精度很高。该模型可以对离心复合力场中回收废弃电路板金属的分选试验结果进行预测。