不同运行模式下改良型CAST工艺处理生活污水的除磷性能

实验采用改良型CAST工艺,以生活污水为研究对象,考察了C/P、回流比及温度等不同运行模式对系统除磷性能的影响.结果表明,常温条件下进水C/P由50升至100,系统除磷率均值从15%迅速升至95.6%,除磷性能显著提高;继而降低C/P至75,除磷性能因进水碳源不足再度下降,除磷率均值为51.4%,且长期投加易降解碳源引发系统污泥膨胀并导致污泥大量流失.C/P较低情况下,回流比由25%降低至12.5%,除磷性能提高2.3倍,继续降低回流比至0,除磷性能反而下降;温度实验研究则表明,低温系统(14℃±1℃),除磷率稳定维持在90%以上,而高温短程硝化系统(27℃±1℃)除磷率仅为14.1%,可见低温更有利于系统磷的去除.吸磷小试发现,常温系统污泥以O_2、NO_3~-和NO_2~-为电子受体均能进行吸磷,而低温系统污泥能以O_2、NO_3~-为电子受体进行吸磷,高温系统污泥则仅能以O_2为电子受体进行少量吸磷.此外,实验还发现,系统短期闲置导致的污泥"饥饿"有利于系统除磷率的提高.     

不同CDPF贵金属负载量对柴油公交车VOCs组分排放影响

基于重型底盘测功机,利用质子转移反应质谱(PTR-MS)研究了柴油公交车在中国典型城市公交车循环(CCBC)下,不同CDPF贵金属负载量对尾气中挥发性有机物(VOCs)组分排放特性的影响.结果表明,柴油公交车VOCs主要组分为含氧有机物(OVOCs)、芳香烃和烯烃等,且OVOCs占比达50%以上;在贵金属成分、配比相同时,VOCs减排率随CDPF贵金属负载量增加而增加:贵金属负载量为15 g·ft~(-3)(A型后处理装置)、25 g·ft~(-3)(B型)和35 g·ft~(-3)(C型)时,VOCs总量的减排率依次为36.2%、40.1%和41.4%.C型后处理装置对烷烃全循环减排率高达70.2%,且对OVOCs的催化有微弱优势;对于不饱和烃类,3种不同贵金属负载量的后处理装置均有一定催化效果,但无明显差异;A型对含氮有机物减排率可达50.5%,但减排率随贵金属负载量增加而降低.采用DOC+CDPF后能较好地降低公交车VOCs排放量进而降低臭氧生成潜势(OFP).同时考虑不同方案减排效果与成本因素,当加权系数分别为0.8和0.2时,B型为最优方案.     

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.     

应用相平衡分配法建立湘江衡阳段沉积物重金属质量基准

采集湘江衡阳段29个站点的表层沉积物样品,测定沉积物中4种重金属(Cu、Pb、Zn和Cd)含量及赋存形态、以及孔隙水中重金属含量,根据相平衡分配法的基本理论,考虑参与沉积物-水相平衡分配的重金属组成,实测法计算重金属的沉积物-水相平衡分配系数(Kp),分别引用美国EPA制定保护水生生物不受重金属慢性毒性影响的基本连续浓度(CCC)和我国地表水环境质量标准(GB 3838-2002)Ⅰ类水质标准,建立两种湘江衡阳段沉积物重金属质量基准(SQC)进行对比分析,其中基于美国CCC建立的湘江衡阳段沉积物重金属质量基准与国内外研究成果相比可比性较好,4种重金属(Cu、Pb、Zn和Cd)的SQC值分别为64.62、55.57、1 360.40和2.34μg.g-1,此SQC具有保护长期生活于沉积物中的底栖生物不受重金属慢性毒性影响的意义.通过单因子评价法将湘江衡阳段沉积物中重金属总量与沉积物质量基准值(SQC)进行比较,结果表明,湘江衡阳段沉积物中Cd和Pb含量水平对底栖生物具有较大的慢性毒性影响,Cd污染不容忽视.     

山东省临沂市土壤有机氯农药滴滴涕残留量与空间分布特征

通过对临沂市全区表层土壤每36 km2进行样品收集,测试分析了DDTs、Org C、N等指标,主要研究了区域表层土壤DDTs的残留现状、组成和来源、影响因素、空间分布和环境质量特征.结果表明,调查区表层土壤中DDTs检出率为71.75%,平均含量为0.035μg·g-1;检出样品中p,p'-DDT和p,p'-DDE为主要残留物,平均残留分别为0.033μg·g-1和0.010μg·g-1,分别占检出样的60.99%和34.62%.DDTs降解率指示区域58%表层土壤为新近输入区,新近输入区在调查区中南部分布尤为明显;而p,p'-DDD/p,p'-DDE指示区域DDTs降解以氧化环境为主,o,p'-DDT/p,p'-DDT指示71.37%区域土壤DDTs输入可能与工业级DDTs有关.相关分析表明,影响土壤DDTs分布的外在因素包括土壤Org C、N、C和p H等指标,且DDTs中p,p'-DDT组分占比越高,影响越明显.DDTs的空间分布具明显点源特征,市县周围均出现明显浓集中心,中南部部分区域浓度明显较高.全区DDTs土壤环境质量污染程度较低,主要以一二类土壤为主,分别占78.95%和21.05%.     

微生物燃料电池改性阳极处理PTA废水

探讨了不同改性阳极对微生物燃料电池(microbial fuel cell,MFC)产电性能及其对MFC处理难降解废水能力的影响.以单室空气阴极为基础,利用0.1 g电气石、质量分数75%二氧化锰/埃洛石纳米管(manganese bioxide/halloysite nanotube,MnO_2/HNT)和多壁碳纳米管-羧基(multi-walled carbon nanotube-carboxyl,MWCNT-COOH)对MFC阳极进行修饰.结果表明,不同改性阳极的MFC对含精对苯二甲酸(purified terephthalic acid,PTA)废水的去除率均高于70%,且化学需氧量(chemical oxygen demand,COD)去除率在79%以上.相较于其他几种改性阳极,以MWCNT-COOH改性材料作阳极的MFC产生的最大输出电压最高,获得的最大功率密度最高,分别为529 mV和252.73 mW·m~(-2).     

西安市重污染与清洁天PM2.5组分及其活性氧物质对比

针对重霾污染,在西安市冬季重污染日(2015-11-30~2015-12-09)和清洁日(2016-01-13~2016-01-22)各进行了为期10d的PM_(2.5)采集,测量其中的有机碳、元素碳,及NH_4~+、NO_3~-、SO_4~(2-)等无机水溶性离子,探讨两种污染条件下的组分特征及其成因.结果表明:观测期,重霾日和清洁日PM_(2.5)质量浓度分别为(170±47.5)μg·m~(-3)和(48.6±17.9)μg·m~(-3),且重霾日伴随低能见度、高湿静风等多种不利气象条件;重霾日二次无机离子(NH_4~+、NO_3~-、SO_4~(2-))组分占PM_(2.5)质量浓度的49.8%±13.1%,而清洁日为19.4%±5.95%,并且重霾日硫氧化速率(sulfur oxidation ratio,SOR)和氮氧化速率(nitrogen oxidation ratio,NOR)分别为0.282±0.157和0.269±0.124,远高于清洁日(SOR和NOR分别为0.189±0.057和0.077±0.046),重霾日二次有机组分浓度[(6.22±3.87)μg·m~(-3)]是清洁日[(1.44±1.63)μg·m~(-3)]的5倍,表明二次污染及不利气象条件是造成重霾期间相关组分浓度升高的重要原因.最后,通过二氯荧光黄双乙酸盐(2',7'-DCFH)化学荧光分析法测定了其中活性氧物质(reactive oxygen species,ROS)的浓度,探讨其对于二次无机组分形成的影响,结果表明观测期ROS平均浓度(以H_2O_2计)分别为(4.99±1.54)nmol·m~(-3)(重霾期),(0.492±0.356)nmol·m~(-3)(清洁期),二次反应及积累效应可能是西安重霾条件下ROS浓度升高的主要原因.NO_3~-、SO_4~(2-)与ROS均呈现正相关(P0.05),表明ROS可能通过二次氧化过程参与到二次无机组分形成过程中.     

泉州市大气PM2.5镧系元素组成特征及来源解析

2014年3月、4月和7月分别采集了泉州市5个采样点共49个PM_(2.5)样品,采用电感耦合等离子体质谱(ICP-MS)测定样品镧系元素(Loid)及其他微量金属元素浓度水平.分析了PM_(2.5)镧系元素组成特征和配分模式,利用La-Ce-V三元图和化学质量平衡(CMB)受体模型解析了泉州市大气PM_(2.5)污染来源.结果表明:(1)泉州市大气PM_(2.5)总镧系元素(Σ Loid)浓度为2.490~5.708 ng·m~(-3)(含量65.682~126.529μg·g~(-1)),轻重镧系元素比值(L/H)为12.086~14.319;(2)PM_(2.5)镧系元素配分模式与福建土壤相似,PM_(2.5)中Ce元素表现为正异常,而Eu元素表现为负异常;(3)城市扬尘、燃煤尘、汽车尾气尘和垃圾焚烧飞灰是泉州市大气PM_(2.5)的主要来源,贡献率分别为18.9%、10.9%、30.6%和30.2%.     

Applicability of LIVE/DEAD BacLight stain with glutaraldehyde fixation for the measurement of bacterial abundance and viability in rainwater

Rainwater contains substantial bacteria and rain is an efficient pathway for the dissemination of bacteria from the atmosphere to land and water surfaces.However,quantitative information on rainwater bacteria is very limited due to the lack of a reliable method.In this study,the epifluorescence microscopy enumeration with the LIVE/DEAD BacLight Bacterial Viability Kit stain was verified to quantify the abundance of viable and non-viable bacterial cells in rainwater,with the 4',6-diamidino-2-phenylindole(DAPI) stain for the reference of total cell counts.Results showed that the total counts of bacterial cells by LIVE/DEAD BacLight staining were consistent with those by DAPI staining,and the average detection efficiency was(109 ± 29)%.The ratio of cell count with glutaraldehyde fixation to that without fixation was(106 ± 5)%on average.The bacterial concentration in negative control was usually an order of magnitude lower than that in rainwater samples.However,in case of small precipitation,the abundance in negative control could be more than that in rainwater samples.These results indicate that the enumeration with LIVE/DEAD BacLight bacterial viability assay coupled with glutaraldehyde fixation and careful negative control investigation is an approach applicable to the measurement of the concentration and viability of bacterial cells in rainwater.     

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.