HRT对固定床厌氧反应器运行效果的影响

为了考察水力停留时间(HRT)对炭纤维载体固定床厌氧反应器运行效果的影响,在进水COD分别为20 000~25 000 mg/L和40 000~45 000 mg/L2个浓度范围下,研究了不同HRT对反应器运行效果的影响。结果表明,通过HRT的调整,在达到相同有机负荷(OLR)下,进水COD为20 000~25 000 mg/L的COD去除率和产气量,明显比进水COD为40 000~45 000 mg/L的运行效果好;进水COD为20 000~25 000 mg/L,HRT为14 h,相应的OLR为41.09 kgCOD/(m3.d)时,COD去除率仍然维持在68%以上,沼气容积产气率达到14.55 m3/(m3.d)。炭纤维载体固定床厌氧反应器具有较高的COD去除率、产气效率以及抵抗低pH、高负荷冲击的能力,运行过程中没有发生反应器堵塞的现象。     

混凝与Fenton联用处理垃圾渗滤液的效能及成本

为对混凝/Fenton工艺与Fenton/混凝工艺处理垃圾渗滤液的效果和成本进行比较,分别对年轻渗滤液和老龄渗滤液原液按照混凝/Fenton工艺与Fenton/混凝工艺2种技术路线进行处理。实验结果表明,Fenton试剂对年轻垃圾渗滤液和老龄垃圾渗滤液COD去除率最高的反应条件为pH=3.5、H2O2和Fe2+的摩尔比为6、H2O2和渗滤液原液的COD质量比为3、反应时间4 h;在PAC与渗滤液原液的COD质量比为0.6时,PAC混凝对渗滤液原液的COD去除率最高。在对渗滤液COD去除率最高的Fenton反应和PAC混凝反应条件下,混凝/Fenton工艺对年轻渗滤液和老龄渗滤液的COD去除率分别为90.56%和86.56%;Fenton/混凝工艺对年轻渗滤液和老龄渗滤液的COD去除率分别为89.99%和85.99%,2种技术路线对渗滤液COD的去除率相差不大,但先PAC混凝后Fenton氧化工艺比先Fenton后混凝工艺每t节省62.6元,是更优化的渗滤液处理工艺。     

莱特生物强化技术处理高浓度有机废水的中试

采用莱特生物强化技术(LTBR—Littoral BioReactor),对兰州石化公司化工园区高浓度有机废水进行了中试试验,进行了正常运行的常规标定、水量冲击标定、浓度冲击标定。结果表明:采用LTBR生物处理工艺,使用特效微生物和营养基质,可以在高COD、高含盐等不利条件下正常进行有机物降解,达到了必须将废水中的COD降至2000mg/L以下的试验要求,为处理高浓度有机化工废水的工程应用开辟了新思路。     

COD自动监测技术及应用

结合COD标准测量方法,着重分析了常见的COD自动监测技术的原理及特点,指出了不同监测技术存在的优缺点及适用范围,为开展废水污染源监控提供借鉴。     

水体中常见无机阳离子对TiO2薄膜光催化还原Cr（Ⅵ）的影响

选择了6种水体中常见的阳离子（Na^＋、Mg^2＋、Ca^2＋、Al^3＋、Cu^2＋、Ni^2＋）,分别考查了其对TiO2薄膜光催化还原Cr（Ⅵ）的影响;从光吸收、无机离子本身的性质对光生电子的捕获及传递等讨论了上述离子影响TiO2薄膜光催化还原Cr（Ⅵ）的反应速率的原因。结果表明：由于其不能捕获光生电子,Na^＋、Mg^2＋、Ca^2＋本身对TiO2薄膜光催化还原Cr（Ⅵ）的反应速率影响不大;Al^3＋吸引电子能力较强,成为光生电子和Cr（Ⅵ）之间的桥梁,促进了Cr（Ⅵ）的还原;浓度为1 mmmol/L时,Cu^2＋显著地促进了Cr（Ⅵ）的光催化还原,其主要原因是Cu^2＋捕获光生电子的能力很强,起到了催化剂的作用,而浓度大于10 mmol/L时,Cu^2＋形成单质Cu以及对紫外光的吸收都使促进作用降低;Ni^2＋未充满的d轨道具有获得并传递光生电子的能力,也促进了Cr（Ⅵ）的还原;在浓度同为1mmol/L时,对Cr（Ⅵ）光催化还原的促进作用依次为：Cu^2＋〉Al^3＋〉Ni^2＋〉Na^＋、Ca^2＋、Mg^2＋。     

有机改性成都粘土预处理垃圾渗滤液

以成都粘土为原料,十六烷基三甲基溴化铵(HDTMA)为改性剂制备有机改性土,并将其应用于垃圾渗滤液的预处理。采用单因素静态吸附实验,以粘土对垃圾渗滤液COD和氨氮的去除率作为考查指标,初步探究有机改性土预处理垃圾渗滤液的适宜条件;并对有机改性粘土及原土进行性能表征,初步分析其吸附机理。研究结果表明,有机土的处理效果明显优于原土,处理效果上比原土提高了1.6~2.3倍;有机土预处理垃圾渗滤液适宜条件为:投加量120 g/L、搅拌速度200 r/min、搅拌时间50 min、pH=7、静置时间为6 h。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

Biodegradation of aromatic hydrocarbons by Haloarchaea and their use for the reduction of the chemical oxygen demand of hypersaline petroleum produced water

Ten halophilic Archaea (Haloarchaea) strains able to degrade aromatic compounds were isolated from five hypersaline locations; salt marshes in the Uyuni salt flats in Bolivia, crystallizer ponds in Chile and Cabo Rojo (Puerto Rico), and sabkhas (salt flats) in the Persian Gulf (Saudi Arabia) and the Dead Sea (Israel and Jordan). Phylogenetic identification of the isolates was determined by 16S rRNA gene sequence analysis. The isolated Haloarchaea strains were able to grow on a mixture of benzoic acid, p-hydroxybenzoic acid, and salicylic acid (1.5 mM each) and a mixture of the polycyclic aromatic hydrocarbons, naphthalene, anthracene, phenanthrene, pyrene and benzo[a]anthracene (0.3 mM each). Evaluation of the extent of degradation of the mixed aromatic hydrocarbons demonstrated that the isolates could degrade these compounds in hypersaline media containing 20% NaCl. The strains were shown to reduce the COD of hypersaline crude oil reservoir produced waters significantly beyond that achieved using standard hydrogen peroxide treatment alone.     

间歇浸取对废物水泥窑共处置产品中Cr和As释放的影响

研究间歇浸取条件下废物水泥窑共处置产品中重金属Cr、As的释放,对水泥产品在实际应用中的环境安全性评价有重要意义.通过模拟煅烧实验制取含Cr和As的水泥熟料,并制取混凝土样品,采用pH影响实验和扩散浸出实验,研究了混凝土中Cr和As的溶解特性及其间歇浸取对混凝土中Cr和As释放的影响.结果表明,浸取方式对浸取液pH有较...