Mechanistic insight into the biofilm formation and process performance of a passive aeration ditch (PAD) for decentralized wastewater treatment

• A Passive Aeration Ditch was developed to treat decentralized wastewater. • A model was developed to describe the process performance. • A high C/N ratio facilitates microbial growth but nitrification deteriorates. • A high salinity decreases both organic and nitrogen contaminants removal. Decentralized wastewater containing elevated salinity is an emerging threat to the local environment and sanitation in remote coastal communities. Regarding the cost and treatment efficiencies, we propose a passive aeration ditch (PAD) using non-woven polyester fabric as a feasible bubbleless aerator and biofilm carrier for wastewater treatment. Consideration has been first given to PAD’s efficacy in treating saline decentralized wastewater, and then to the impact of chemical oxygen demand-to-nitrogen (C/N) ratio and salinity on biofilm formation. A multispecies model incorporating the salinity effect has been developed to depict the system performance and predict the microbial community. Results showed that the PAD system had great capacity for pollutants removal. The biofilm thickness increased at a higher C/N ratio because of the boost of aerobic heterotrophs and denitrifying bacteria, which consequently improved the COD and total nitrogen removal. However, this led to the deterioration of ammonia removal. Moreover, while a higher salinity benefited the biofilm growth, the contaminant removal efficiencies decreased because the salinity inhibited the activity of aerobic heterotrophs and reduced the abundance of nitrifying bacteria inside the biofilm. Based on the model simulation, feed water with salinity below 2% and C/N ratio in a range of 1 to 3 forms a biofilm that can reach relatively high organic matter and ammonia removal. These findings not only show the feasibility of PAD in treatment of saline decentralized wastewater, but also offer a systematic strategy to predict and optimize the process performance.     

Phylogenetic diversity of NO reductases,new tools for nor monitoring,and insights into N2O production in natural and engineered environments

● 548 representative nor genes were collected to create complete phylogenetic trees. ● The distribution of nor and nod genes were detected in 18 different phyla. ● The most conserved amino acids in NOR were located adjacent to the active site. ● nor-universal and Clade-specific primers were designed, suggested, and tested. Nitric oxide reductases (NORs) have a central role in denitrification, detoxification of nitric oxide (NO) in host-pathogen interactions, and NO-mediated cell-cell signaling. In this study, we focus on the phylogeny and detection of qNOR and cNOR genes because of their nucleotide sequence similarity and evolutionary relatedness to cytochrome oxidases, their key role in denitrification, and their abundance in natural, agricultural, and wastewater ecosystems. We also include nitric oxide dismutase (NOD) due to its similarity to qNOR. Using 548 nor sequences from publicly accessible databases and sequenced isolates from N₂O-producing bioreactors, we constructed phylogenetic trees for 289 qnor/nod genes and 259 cnorB genes. These trees contain evidence of horizontal gene transfer and gene duplication, with 13.4% of the sequenced strains containing two or more nor genes. By aligning amino acid sequences for qnor + cnor, qnor, and cnor, we identified four highly conserved regions for NOR and NOD, including two highly conserved histidine residues at the active site for qNOR and cNOR. Extending this approach, we identified conserved sequences for: 1) all nor (nor-universal); 2) all qnor (qnor-universal) and all cnor (cnor-universal); 3) qnor of Comamonadaceae; 4) Clade-specific sequences; and 5) nod of Candidatus Methylomirabilis oxyfera. Examples of primer performance were confirmed experimentally.     

基于多因素分析的玻璃行业员工不安全行为研究

采用问卷调查、信效度分析和因子分析等方法,研究玻璃行业不安全行为影响因素,研究结果表明：玻璃行业员工不安全行为主要包括车间照明、PPE佩戴等18个影响因素指标;根据方差分析结果将影响因素归结为工作环境与行为要求（F₁）、安全教育与培训（F₂）、群体与组织行为影响（F₃）和激励沟通与奖惩（F₄）等4个主因子,其方差解释率分别为32%、12%、10%、10%,权重分别为0.51、0.19、0.15、0.15;根据分析结果针对性提出“4+1”安全管理模式,为玻璃行业降低不安全行为几率、保障安全生产提供理论依据。     

天然沸石及改性沸石去除低浓度氨氮的研究

研究了天然斜发沸石在不同的酸、碱和盐改性条件下吸附去除氨氮（NH₄＋-N）的效果.结果表明:沸石吸附NH₄＋-N动力学曲线符合“快速吸附、缓慢平衡"的特点,且初始ρ（NH₄＋-N）越高,吸附速率越快;天然沸石及其改性沸石吸附NH₄＋-N为单分子层吸附过程,其吸附热力学曲线很好地符合Langmuir曲线. 沸石吸附NH₄＋-N是吸热反应,适当提高温度能够促进NH₄＋-N的吸附. 盐改性方法对沸石吸附NH₄＋-N的效果最好,增加了沸石的比表面积和总孔容,同时有利于沸石的再生.      

施用不同尿素对稻季不同层次土壤溶液中氮形态的影响

在太湖地区乌栅土上,利用大型原状土柱比较研究了不同尿素品种、施肥量(0、普通尿素150、300和包膜尿素100、150 kg·hm-2,以N计算)处理对稻季不同层次(30、65、80 cm)土壤氮素动态变化的影响.结果表明:所有处理渗漏水中NO3--N质量浓度均低于饮用水标准,常规施肥未显著增加氮的淋溶损失;各处理在不同层次土壤均发生反硝化作用;包膜尿素促进土壤反硝化强度,在65 cm和80 cm处尤为明显.施用包膜尿素可能增强浅层地下水的反硝化作用而降低水体NO3--N质量浓度.其影响机理及在对其它类型土壤上氮素淋失和反硝化的影响,值得进一步研究.     

三江源区东西样带土壤侵蚀的

运用137Cs和210Pb_ex联合示踪技术,考察青藏高原三江源区东西样带137Cs和210Pb_ex面积浓度的背景值和变化特征,以及东西样带土壤侵蚀速率、分布特征和主要影响因素. 结果表明:①青藏高原三江源区东西样带137Cs和210Pb_ex面积浓度背景值分别为453～1 714和2 612～7 377 Bq/m2,137Cs和210Pb_ex背景值从西向东样带随海拔高度的变化差异明显.137Cs(x)和210Pb_ex(y)面积浓度的背景值区域分布呈显著线性相关,相关性关系式为y3.587　2x+1　463.4,R20.951　7.②长江源区沱沱河137Cs的示踪结果表明,以沱沱河为中心的长江源区是典型的风蚀区,年侵蚀速率2.5 t/(hm2·a),该区是青藏高原重要的沙尘暴源区之一.③黄河源区玛多典型坡面137Cs和210Pb_ex的示踪结果表明,近40年来,玛多畜牧业为主的人类活动造成的土壤扰动比自然因素的影响大.④玛沁东倾沟乡和军牧场的比较研究结果表明,玛沁东倾沟乡高山草甸的水土保持效果较好,而玛沁军牧场的畜牧业活动造成了地表土壤的强烈扰动.⑤玛沁军功镇典型水蚀地貌土壤剖面137Cs和210Pb_ex的结果表明,20世纪50—60年代,该区的极端暴雨事件导致了严重的水土流失,土壤剖面中出现137Cs和210Pb_ex的空白区. 植被破坏导致玛沁军功镇出现了严重水蚀,净侵蚀速率为8.0 t/(hm2·a).⑥近40年来,随着人类活动的加剧和全球气候变暖,导致青藏高原三江源区出现了沙尘暴的传输源地.      

一体化膜生物反应器处理低C/N污水试验研究

研究一体化连续流间歇曝气膜生物反应器(IMBR)处理低C/N城市污水的工艺效能。试验结果表明:反应器在曝气2 h、搅拌2 h的运行模式下,对COD、NH4+-N、TN和SS的平均去除率分别达到了87%,83.4%,75.4%和97.81%,各出水质量浓度平均值分别为17.5,4.59,7.63和2 mg/L,出水水质达到了GB/T18920-2002《城市污水再生利用城市杂用水水质》标准。     

Effects of experimental protocol on global vegetation model accuracy: A comparison of simulated and observed vegetation patterns for Asia

Prognostic vegetation models have been widely used to study the interactions between environmental change and biological systems. This study examines the sensitivity of vegetation model simulations to: (i) the selection of input climatologies representing different time periods and their associated atmospheric CO₂ concentrations, (ii) the choice of observed vegetation data for evaluating the model results, and (iii) the methods used to compare simulated and observed vegetation. We use vegetation simulated for Asia by the equilibrium vegetation model BIOME4 as a typical example of vegetation model output. BIOME4 was run using 19 different climatologies and their associated atmospheric CO₂ concentrations. The Kappa statistic, Fuzzy Kappa statistic and a newly developed map-comparison method, the Nomad index, were used to quantify the agreement between the biomes simulated under each scenario and the observed vegetation from three different global land- and tree-cover data sets: the global Potential Natural Vegetation data set (PNV), the Global Land Cover Characteristics data set (GLCC), and the Global Land Cover Facility data set (GLCF). The results indicate that the 30-year mean climatology (and its associated atmospheric CO₂ concentration) for the time period immediately preceding the collection date of the observed vegetation data produce the most accurate vegetation simulations when compared with all three observed vegetation data sets. The study also indicates that the BIOME4-simulated vegetation for Asia more closely matches the PNV data than the other two observed vegetation data sets. Given the same observed data, the accuracy assessments of the BIOME4 simulations made using the Kappa, Fuzzy Kappa and Nomad index map-comparison methods agree well when the compared vegetation types consist of a large number of spatially continuous grid cells. The results of this analysis can assist model users in designing experimental protocols for simulating vegetation.     

四川桤柏混交林土壤N2O排放的实测与模拟

采用静态箱-气相色谱法对川中丘陵区桤柏混交林土壤N2O排放进行了连续两年的测定.通过与Forest-DNDC模型模拟进行对比分析,结果表明,模型能够较好地模拟林地土壤N2O排放.2005和2006年模型模拟的土壤N2O年平均排放速率为15.02,14.03mg/(m2×h),分别为实际观测值的85.7%和87.5%.2005和2006年的实际观测值与模型模拟值之间差异均不显著(P>0.05),模拟有效系数分别为0.56和0.51.以2005年降雨量和气温为基准利用模型进行情景分析,结果表明,本地区降雨量在±30%范围内变化时,林地土壤N2O排放量的变化幅度不超过25%;气温在±3℃范围内变化时,林地土壤N2O排放量的变化幅度不超过10%.     

不同C/N值下亚硝酸盐氧化菌和异养菌混合体系的微生物多样性

采用PCR-RFLP技术研究了不同C/N比下亚硝酸盐氧化菌及异养菌混合体系的微牛物多样性,并探讨了微生物菌群结构与其功能(硝化件能)的关系.C/N=0时,混合体系主要由自养菌和寡营养菌(85.1%)组成,包括亚硝酸盐氧化菌(NOB)、拟杆菌门、α-变形菌纲、浮霉菌门和绿色非硫细菌中的一些菌株.C/N=0.44时,混合体系中的自养菌减少,异养菌(主要是γ-变形菌纲的成员)大量出现.C/N=8.82时,γ-变形菌纲的菌株尤其是反硝化菌Pseudomonas sp.占主导(93.8%),与此同时,随着C/N升高,该混合体系的硝化性能也由专一的亚硝酸盐氧化过程转变为同时硝化反硝化过程.微生物菌群结构的转变较好地解释了其硝化性能的改变.本研究揭示了微生物菌群结构与其功能的内在联系,同时表明PCR-RFLP技术与化学分析相结合是研究微生物菌群结构与功能的有力工具.图3表2参13