Ultrasound pretreatment of filamentous algal biomass for enhanced biogas production

The filamentous alga Hydrodictyon reticulatum harvested from a bench-scale wastewater treatment pond was used to evaluate biogas production after ultrasound pretreatment. The effects of ultrasound pretreatment at a range of 10–5000 J/mL were tested with harvested H. reticulatum. Cell disruption by ultrasound was successful and showed a higher degree of disintegration at a higher applied energy. The range of 10–5000 J/mL ultrasound was able to disintegrated H. reticulatum and the soluble COD was increased from 250 mg/L to 1000 mg/L at 2500 J/mL. The disintegrated algal biomass was digested for biogas production in batch experiments. Both cumulative gas generation and volatile solids reduction data were obtained during the digestion. Cell disintegration due to ultrasound pretreatment increased the specific biogas production and degradation rates. Using the ultrasound approach, the specific methane production at a dose of 40 J/mL increased up to 384 mL/g-VS fed that was 2.3 times higher than the untreated sample. For disintegrated samples, the volatile solids reduction was greater with increased energy input, and the degradation increased slightly to 67% at a dose of 50 J/mL. The results also indicate that disintegration of the algal cells is the essential step for efficient anaerobic digestion of algal biomass.     

电化学氢化物发生法处理含锑废水及对锑的回收

采用电化学氢化物发生法对模拟含锑废水进行处理,锑与水电解产生的氢形成氢化物从溶液中脱除,而后收集并加热分解锑化氢得到金属锑.实验表明,在酸性条件下对Sb(Ⅲ)去除效果较好,p H=4时去除率为76.1%.Sb(Ⅲ)与电解水产生的氢结合形成锑化氢从溶液中逸出是溶液中锑去除的最主要途径(回收率为66.2%),电沉积和吸附也对锑的去除做出少量贡献.Sb(Ⅴ)须预还原为Sb(Ⅲ)再氢化进行去除.试用了铅、石墨、钨这3种电解阴极材料,铅电极处理效果最佳.     

蠡河底泥中反硝化复合菌群富集及菌群结构研究

从无锡市滨湖区蠡河底泥中富集培养反硝化复合菌群,研究其在不同富集培养阶段TN、NO-3-N、NO-2-N、NH+4-N和COD动态变化,分析反硝化过程中气体释放总量、释放速率和成分,通过构建全长16S r DNA克隆文库研究其菌落结构.结果表明,反硝化复合菌群富集在阶段4时脱氮效果最佳,仅在9 h内,330 mg·L-1的TN负荷下,TN去除率达90.9%,NO-3-N去除率达100%,中间产物NO-2-N和NH+4-N积累量最少,分别为3.39 mg·L-1和16.64 mg·L-1,COD去除率达85%;释放气体260m L,气体主要成分为N2,同时还有少量的CH4和CO2等.富集培养反硝化复合菌群细菌属于Pseudomonadaceae科和Rhodocyclaceae科,为Proteobacteria门,OUT丰度分别为57.8%和31.6%,Pseudomonadaceae科是优势类群.     

容积负荷对ABR-MBR工艺反硝化除磷性能的影响

采用连续流ABR-MBR组合工艺处理生活污水,研究不同容积负荷(volume loading rate,VLR)对该工艺反硝化除磷性能的影响,获得最佳工艺参数.试验考察ABR进水容积负荷(以COD计,下同)分别为0.76、1.01、1.51和2.27 kg·(m~3·d)~(-1)时系统去碳脱氮除磷的性能,并在各ABR容积负荷条件下考察MBR容积负荷对MBR反应器硝化性能的影响.结果表明,在ABR进水容积负荷为1.51 kg·(m~3·d)~(-1)的条件下,系统A2隔室COD去除量最大,并在MBR容积负荷为0.462 kg·(m~3·d)~(-1)时,MBR反应器中实现了短程硝化,系统NH_4~+-N和TN去除率分别达到90%和72%以上,厌氧释磷量为7.41 mg·L~(-1),缺氧吸磷量达到15.42 mg·L~(-1),出水PO_4~(3-)-P浓度低于0.5 mg·L~(-1),这表明短程硝化更有利于强化ABR-MBR系统的反硝化除磷性能.     

Ethanol mediated As(III) adsorption onto Zn-loaded pinecone biochar: Experimental investigation, modeling, and optimization using hybrid artificial neural network-genetic algorithm approach

Organic matters (OMs) and their oxidization products often influence the fate and transport of heavy metals in the subsurface aqueous systems through interaction with the mineral surfaces. This study investigates the ethanol (EtOH)-mediated As(III) adsorption onto Zn-loaded pinecone (PC) biochar through batch experiments conducted under Box–Behnken design. The effect of EtOH on As(III) adsorption mechanism was quantitatively elucidated by fitting the experimental data using artificial neural network and quadratic modeling approaches. The quadratic model could describe the limiting nature of EtOH and pH on As(III) adsorption, whereas neural network revealed the stronger influence of EtOH (64.5%) followed by pH (20.75%) and As(III) concentration (14.75%) on the adsorption phenomena. Besides, the interaction among process variables indicated that EtOH enhances As(III) adsorption over a pH range of 2 to 7, possibly due to facilitation of ligand–metal(Zn) binding complexation mechanism. Eventually, hybrid response surface model–genetic algorithm (RSM–GA) approach predicted a better optimal solution than RSM, i.e., the adsorptive removal of As(III) (10.47 μg/g) is facilitated at 30.22 mg C/L of EtOH with initial As(III) concentration of 196.77 μg/L at pH 5.8. The implication of this investigation might help in understanding the application of biochar for removal of various As(III) species in the presence of OM.     

污染场地地下水抽出处理技术研究

地下水污染控制与修复是场地修复的重点内容。我国在地下水污染控制与修复领域尚处于起步阶段,简述了我国地下水污染场地类型、污染特点以及国外地下水污染控制与修复的主要技术,重点研究整理了国外最为常用的地下水修复技术,即抽出处理技术的技术原理、适用条件、技术优势和限制条件,以及系统设计与运行重点关注内容,为我国的地下水污染控制与修复技术研究和工程实践提供参考。     

潜流人工湿地处理地下水TCE污染实验研究

分别构建无植物、宽叶香蒲和芦苇3组潜流人工湿地系统,研究潜流人工湿地对受到TCE(三氯乙烯)污染地下水的处理效果。实验结果表明:无植物湿地系统和芦苇湿地系统的出水TCE去除率波动较大,香蒲湿地系统出水TCE去除率相对稳定,其出水TCE平均去除率为77.7%,最大值为87.5%,最小值为70.7%。对于无植物湿地系统,湿地床中层和下层的TCE去除率相差较大,而该差异在香蒲和芦苇湿地系统中并不明显。在湿地系统中TCE沿水平方向的降解反应基本符合一级反应动力学模型。     

不同絮凝剂对活性污泥特性及除污效能的影响研究

为了研究絮凝剂对污泥特性及除污效能的作用结果,考察了SBR反应器中投加聚合氯化铝(PAC)、聚合硫酸铁(PFS)和阳离子聚丙烯酰胺(CPAM)对污泥特性及COD、NH_4~+-N和TP去除效果的影响。结果表明:投加10 mg/L PAC会导致活性污泥沉降性能变差,降低了微生物对污染物质的分解能力;投加0.1 mg/L CPAM和10 mg/L PFS能够改善活性污泥菌胶团和絮体结构,使得活性污泥的吸附效能和沉降性增强。     

浸没燃烧技术处理高浓度有机废水研究

针对现阶段高浓度有机废水处理困难的问题,提出了一种基于浸没燃烧技术的处理方法,设计制作了1台浸没燃烧装置,并开展了高浓度有机废水浸没燃烧实验研究,探究了过量空气系数、二次风量、燃烧温度等参数对燃烧尾气中CO、NOx排放的影响,以及浸没深度、燃烧温度对高浓度有机废水COD去除的影响。实验结果表明:该工艺对高浓度有机废水中的有机物去除效果明显,温度在900℃以上,浸没深度达到20 cm时,COD去除率可达90%以上。该方法可作为废水处理设备,与生物法等处理技术联用,应用前景广阔。     

一种多介质层波形潜流人工湿地处理重污染河水试验

我国河流污染严重,城市黑臭水体的比率日益增加。人工湿地作为一种高效低耗能的绿色处理技术,已被广泛应用于污染河水的治理。通过对比分析分层装填复合填料的多介质层波形潜流人工湿地和单一砾石填料的普通人工湿地处理重污染河水的效果,研究了特种基质填料强化脱氮除磷作用以及不同水力负荷条件的影响。试验结果表明:在水力负荷为0.2 m~3/(m~2·d)时,普通湿地对COD、NH3-N、TN和TP的去除率分别达到55.95%、77.85%、39.80%和54.94%;多介质层湿地对COD、NH3-N、TN和TP的去除率分别达到58.52%、75.99%、67.08%和57.31%。在水力负荷为0.5 m~3/(m~2·d)时,普通湿地对COD、NH3-N、TN和TP的去除率分别达到68.46%、90.73%、42.13%和53.70%;多介质层湿地对COD、NH3-N、TN和TP的去除率分别达到69.61%、89.94%、77.58%和68.63%,其脱氮效果明显好于普通湿地。以复合填料包分层装填的波形潜流人工湿地系统具有良好的脱氮除磷效果,有很好的推广应用价值。