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%.     

宁波三江口水域原核生物群落结构分析

首次应用16S rRNA基因-Illumina Miseq高通量测序技术对甬江流域宁波三江口区域的表层水体原核生物群落进行了分析,共获得215 504条高质量序列.多样性指数分析表明,该流域的水体原核生物群落具有较高的遗传多样性和丰富度.菌群分类分析发现,β-变形菌纲(β-Proteobacterium)、放线菌门(Actinobacteria)和拟杆菌门(Bacteroidetes)是主要的优势菌群,其相对丰度占总群落的78.88%.对比不同站位的原核生物群落,发现水文环境可能是影响三江口水域原核生物群落组成和结构的重要因素之一.与以往报道对比分析表明,甬江流域分布有多种污水和粪便污染指示菌,其中余姚江污染指示菌的丰度最高,说明其受污染的风险可能较高.病原菌BLASTN分析表明,在种和亚种水平上,分别检出76和18种潜在病原菌,占序列总量的2.19%和0.40%.本研究为系统认识甬江流域原核生物群落结构及生态功能提供了重要基础数据.     

采用颜色空间表征ANAMMOX启动与冲击过程

厌氧氨氧化(ANAMMOX)是一种高效、节能的脱氮技术,但是其启动过程和稳定状态的表征目前仍缺乏一个简单易行的方法.针对这一问题,在水质分析的基础上,采用颜色空间重点监测ANAMMOX启动过程中污泥的颜色变化,并借助高通量测序技术对微生物菌群的种类和数量等进行分析.结果表明:(1)根据水质特征,整个启动过程可分为活性迟滞期、活性增强期、负荷提高期、稳定运行期.与此同时,HSV、CIELAB颜色空间的指标,整体上呈现先降低后升高的趋势,然后保持稳定.污泥颜色的变化与水质的变化以及分子生物学特征中优势菌群的变迁一致,因此,三者之间具有相关性,进而表明,采用颜色空间可对ANAMMOX启动过程进行准确表征;(2)当遇到高负荷引起的冲击时,H、S、a~*、b~*、C_(ab)~*等指标与总无机氮(TIN)容积去除速率均呈现降低的趋势,而H_(ab)出现了突升,但均能准确反映出系统的冲击特性.提出了基于颜色空间表征ANAMMOX启动各阶段的方法并建立了一套冲击过程指标体系,为颜色空间在ANAMMOX系统中的应用提供了理论基础.     

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%.     

Adsorption of Co(Ⅱ) from aqueous solutions by water treatment residuals

A study on the removal of Co(Ⅱ) from aqueous solutions by water treatment residuals(WTR)was conducted in batch conditions. The sorption process of Co(Ⅱ) followed pseudosecondorder kinetics, with 30 hr required to reach equilibrium. Using the Langmuir adsorption isotherm model, a relatively high maximum sorption capacity of 17.31 mg/g Co(Ⅱ) was determined. The adsorption of Co(Ⅱ) was dependent on pH values and was affected by the ionic strength. Results show that Co(Ⅱ) adsorption was a spontaneous endothermic process and was favorable at high temperature. Most of the adsorbed Co(Ⅱ) stayed on the WTR permanently, whereas only small amounts of adsorbed Co(Ⅱ) were desorbed. The shifting of peaks in FT-IR spectra indicated that Co(Ⅱ) interacted with the WTR surface through strong covalent bond formation with Fe(Al)–O functional groups. It was concluded that WTR can be a suitable material from which to develop an efficient adsorbent for the removal of Co(Ⅱ) from wastewater.     

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.     

Shifts in microbial community structure and diversity in a MBR combined with worm reactors treating synthetic wastewater

The chemical oxygen demand (COD) and NH₃-N removal, membrane fouling, sludge characteristics and microbial community structure in a membrane bioreactor (MBR) coupled with worm reactors (SSBWR) were evaluated for 210 days. The obtained results were compared to those from a conventional MBR (C-MBR) operated in parallel. The results indicated that the combined MBR (S-MBR) achieved higher COD and NH₃-N removal efficiency, slower increase in membrane fouling, better sludge settleability and higher activities of the related enzymes in the activated sludge. Denaturing gradient gel electrophoresis was used to analyze the microbial community structures in the C-MBR and the S-MBR. The microbial community structure in the S-MBR was more diverse than that in the C-MBR. Additionally, the slow-growing microbes such as Saprospiraceae, Actinomyces, Frankia, Clostridium, Comamonas, Pseudomonas, Dechloromonas and Flavobacterium were enriched in the S-MBR, further accounting for the sludge reduction, membrane fouling alleviation and wastewater treatment.     

北京市郊区夏季臭氧重污染特征及生成效率

为研究北京郊区夏季O₃(臭氧)重污染过程特征及O₃生成的光化学敏感性,基于2016年夏季在北京郊区开展的针对O₃及其相关污染物的强化观测试验(7月23日—8月31日,共计40 d),分析了观测期间O₃浓度[以φ(O₃)计]变化特征、O₃重污染过程主控因素与O₃敏感性化学特征.结果表明:观测期间φ(O₃)超标时有发生,最大小时φ(O₃)为151.1×10-9,其中有15 d的φ(O₃)最大8 h滑动平均值(O₃-max-8h)超过了GB 3095—2012《环境空气质量标准》二级标准限值,占观测天数的37.5%;不同O₃重污染过程成因有所不同,城市烟羽传输的污染物对郊区O₃重污染过程影响显著(观测期间臭氧重污染过程:过程1,7月27—29日;过程3,8月9—11日;过程4,8月16日;过程5,8月21—24日),区域光化学污染对郊区O₃重污染过程也有贡献(观测期间O₃重污染过程2:8月4—6日);结合后向气流轨迹进一步辅助说明了不同重污染过程中O₃的来源不同.研究还发现,观测区域存在反“周末效应”现象,说明观测区域周末受人为影响较为明显;基于观测数据计算的OPE(O₃生成效率)分析了O₃光化学敏感性表明,在有OPE值的22 d内NO_x控制区和VOCs控制区出现的概率(41%)相等,即观测区域O₃对NO_x和VOCs均敏感;此外还发现,在O₃重污染过程中光化学敏感性会随其反应进程发生改变,由NO_x控制区逐渐转变为VOCs控制区.