SBR加载不同粒径磁性活性炭对其污泥颗粒化进程的影响机制

在相同序批式活性污泥反应器(SBR)中分别加载1.5 g·L~(-1)的80、140、200、和300目不同粒径的磁性活性炭(反应器编号依次为2、3、4、5号),同时以不投加磁性活性炭的SBR反应器(1号)作为对照组,研究各反应器污泥体积指数(SVI)、粒径分布特征、胞外聚合物(EPS)中胞外蛋白(PN)、胞外多糖(PS)的含量变化规律以及除污性能.结果表明,不同粒径磁性活性炭对污泥颗粒化进程有一定的影响,粒径过大、过小对促进污泥颗粒化进程的强化作用不明显,当磁性活性炭的粒径为140目和200目时,活性污泥很容易以其作为"成核"载体快速形成好氧颗粒污泥,并且形成的颗粒污泥结构紧密,沉降速率快.采用高斯函数分析污泥粒径分布和标准偏差发现,反应器运行的第50 d,3号和4号反应器内污泥平均粒径均达到了780μm以上,明显高于其他反应器,标准偏差分别为318.9μm和362.3μm,两反应器内形成的颗粒污泥粒径较均匀,处理系统较稳定.与此同时,投加不同粒径的磁性活性炭均有利于促进污泥胞外蛋白质PN含量的增加,对胞外多糖PS的含量影响不大;但合适的磁性活性炭粒径(140目和200目)越有利于污泥PN的分泌,颗粒化程度明显的3号和4号反应器的PN/PS比值均高于其他3个反应器.磁性炭基好氧颗粒污泥的形成符合"惰性内核模型".此外,3号、4号反应器对废水TN和TP的去除率分别达到50%和60%以上,均高于其他反应器.     

低DO下AGS-SBR处理低COD/N生活污水长期运行特征及种群分析

本研究在序批式活性污泥反应器(SBR)中接种好氧颗粒污泥(AGS),构成AGS-SBR系统,研究其在低DO(0.5~1.0mg·L~(-1))条件下,处理低COD/N比(4.0)生活污水同步脱氮除磷的长期稳定运行特性,并解析反应器的主要菌群构成.结果表明,在反应器运行的180d里,AGS-SBR系统表现出了良好且稳定的除污能力,反应器对水体中COD、NH~+_4-N、TN和TP平均去除率分别达到87.17%、95.21%、77.05%和91.11%.好氧颗粒污泥沉降性能一直很好,污泥始终保持着完整的颗粒外观和密实紧凑的结构,并没有出现明显的颗粒污泥解体的现象.同时,高通量测序结果表明,变形菌门、厚壁菌门、绿菌门、绿弯菌门和拟杆菌门为SBR-AGS反应器中主要优势菌群.Denitratisoma、Planctomycetaceae、Thauera、Comamonas、Nitrosomonas和Nitrospira是反应器中与脱氮有关菌群;Clostridium和Anaerolinea是除磷相关细菌.     

头孢哌酮和纳米铁对青海弧菌Q67的毒性效应

该研究选取头孢哌酮和零价纳米铁对青海弧菌 Q67 进行急性毒性实验和慢性毒性实验,结合青海弧菌 Q67 的发光度探讨了 β-内酰胺类抗生素和纳米材料对青海弧菌 Q67 的毒性效应。结果表明,作用时间为 15 min 时,头孢哌酮、零价纳米铁单一急性毒性半数效应浓度(EC₅₀)分别为 178.898 和 175.275 mg/L;延长暴露时间到 24 h,头孢哌酮、零价纳米铁慢性毒性半数效应浓度分别为 59.030 和 152.274 mg/L。根据相加指数法判断联合毒性的作用类型,发现 2 种混合物对青海弧菌 Q67 的急性、慢性联合毒性作用类型皆为拮抗作用。     

稻秸秆添加强化沉水植物湿地对农田径流中不同形态氮的去除效果

为提升稻田周边湿地对农田径流中不同形态氮的净化效率,有效拦截农田面源污染导致的氮磷流失,采用农业废物稻秸秆为有机碳源与沉水植物组合构建强化湿地系统,共设置不种植苦草且不添加稻秸秆(NS)、只种植苦草(VN)、只添加稻秸秆(SS)和种植苦草并添加稻秸秆(VS)4个处理,研究强化湿地对不同形态氮农田径流的净化效果与机制。结果表明：1)在处理以氨氮(NH₄⁺-N)为主要氮形态的农田径流时,VN和VS对废水中TN和NH₄⁺-N的去除率显著高于其他处理(P<0.05),表明种植苦草是提升湿地对NH₄⁺-N农田径流净化效果的主要因素;2)处理以硝态氮(NO₃^--N)为主要氮形态的农田径流时,SS和VS对废水中TN和NO₃^--N的去除率显著高于其他处理(P<0.05),表明添加稻秸秆显著提升了湿地对NO₃^--N农田径流的净化效果...     

Detection of dicofol and related pesticides in human breast milk from China, Korea and Japan

Previously, we demonstrated that the concentrations of DDTs were greater in breast milk collected from Chinese mothers than from Japanese and Korean mothers. To investigate dicofol as a possible source of the DDTs in human breast milk, we collected breast milk samples from 2007 to 2009 in China (Beijing), Korea (Seoul, Busan) and Japan (Sendai, Takarazuka and Takayama). Using these breast milk samples, we quantified the concentrations of dichlorobenzophenone, a pyrolysis product of dicofol (simply referred to as dicofol hereafter), dichlorodiphenyltrichloroethane and its metabolites (DDTs) using GC-MS. Overall, 12 of 14 pooled breast milk samples from 210 mothers contained detectable levels of dicofol (>0.1 ng g⁻¹ lipid). The geometric mean concentration of dicofol in the Japanese breast milk samples was 0.3 ng g⁻¹ lipid and significantly lower than that in Chinese (9.6 ng g⁻¹ lipid) or Korean breast milk samples (1.9 ng g⁻¹ lipid) (p < 0.05 for each). Furthermore, the ΣDDT levels in breast milk from China were 10-fold higher than those from Korea and Japan. The present results strongly suggest the presence of extensive emission sources of both dicofol and DDTs in China. However, exposure to dicofol cannot explain the large exposure of Chinese mothers to DDTs because of the trace levels of dicofol in the ΣDDTs. In the present study, dicofol was confirmed to be detectable in human breast milk. This is the first report to identify dicofol in human samples.     

微波-过氧乙酸联合作用处理剩余污泥的研究

采用微波-过氧乙酸(PAA)联合作用处理剩余污泥,考察了微波辐照时间、微波功率、PAA投加量对剩余污泥分解效果的影响.同时以单独微波作用为对比,考察了微波-PAA联合作用下剩余污泥性质的变化.结果表明,当微波功率为600 W,PAA投加量为0.24 g/g(以干质量SS计)时,微波辐照60 s后剩余污泥分解率可达35%...     

Modeling transit bus fuel consumption on the basis of cycle properties

A method exists to predict heavy-duty vehicle fuel economy and emissions over an "unseen" cycle or during unseen on-road activity on the basis of fuel consumption and emissions data from measured chassis dynamometer test cycles and properties (statistical parameters) of those cycles. No regression is required for the method, which relies solely on the linear association of vehicle performance with cycle properties. This method has been advanced and examined using previously published heavy-duty truck data gathered using the West Virginia University heavy-duty chassis dynamometer with the trucks exercised over limited test cycles. In this study, data were available from a Washington Metropolitan Area Transit Authority emission testing program conducted in 2006. Chassis dynamometer data from two conventional diesel buses, two compressed natural gas buses, and one hybrid diesel bus were evaluated using an expanded driving cycle set of 16 or 17 different driving cycles. Cycle properties and vehicle fuel consumption measurements from three baseline cycles were selected to generate a linear model and then to predict unseen fuel consumption over the remaining 13 or 14 cycles. Average velocity, average positive acceleration, and number of stops per distance were found to be the desired cycle properties for use in the model. The methodology allowed for the prediction of fuel consumption with an average error of 8.5% from vehicles operating on a diverse set of chassis dynamometer cycles on the basis of relatively few experimental measurements. It was found that the data used for prediction should be acquired from a set that must include an idle cycle along with a relatively slow transient cycle and a relatively high speed cycle. The method was also applied to oxides of nitrogen prediction and was found to have less predictive capability than for fuel consumption with an average error of 20.4%.     

萃取净化电镀含镉废水

研究了二壬基萘磺酸(DNNSA)形成的微乳液从模拟含镉废水中萃取镉离子的工艺条件。分别考察了相体积比(O/A)、萃取时间、温度及萃取剂浓度对废水中镉离子萃取的影响。结果表明,萃取平衡时间为10 mim,降低温度及增加萃取剂浓度均有利于萃取。紫外光谱证实当DNNSA萃取镉时,所形成萃合物对萘环的结构无影响,且不会破坏微乳相的结构;分子荧光光谱表明镉离子对配体DNNSA有荧光猝灭作用。     

复合型絮凝剂处理景观水体

利用以生物絮凝剂(1 g/L MBF-28)与化学絮凝剂(5 g/L PAC)复配后的复合絮凝剂CBF28C处理景观水体,考虑了复配比、投加量、pH和投加顺序对处理景观水的影响。实验结果表明:对于反应体系为100 mL景观水体,当MBF-28与PAC溶液复配体积比为3∶1,反应体系pH为7.0,1 mL 1%CaCl2作助凝剂,1.5 mL CBF28C时,其絮凝效果最好,其COD,色度,TN,TP的去除率分别为90.7%,54.1%、46.6%和51.5%。最佳水力条件为:快速320 r/min,快搅时间45 s,慢速80 r/min,慢搅时间100 s。并且得出了前10 min内絮凝率的反应关系方程式。