厌氧氨氧化启动过程细菌群落多样性及PICRUSt2功能预测分析

细菌群落是实现厌氧氨氧化系统高效脱氮的核心,而厌氧氨氧化启动过程细菌群落多样性及其功能特征仍未被充分阐明.本研究采用升流式厌氧污泥床（UASB）反应器进行厌氧氨氧化系统启动,利用16S rRNA基因高通量测序技术并结合PICRUSt2功能预测分析,研究启动过程不同时间（d0、d30、d60和d90）细菌群落多样性及功能动态变化特征.结果表明,启动过程共检测到48个门、111个纲、269个目、457个科、840个属和1497个种;Candidatus_Brocadia和Candidatus_Kuenenia为检测到的厌氧氨氧化菌,且它们的相对丰度在启动过程不同时间存在显著差异（P<0.05）.启动过程,细菌群落α多样性指数整体呈现显著的降低趋势（P<0.05）,细菌群落结构呈现出明显的空间分异特征,且差异显著（R=0.846,P<0.01）.PICRUSt2功能预测分析表明,启动过程,细菌群落具有丰富的功能多样性,一级功能层表现为有机系统和代谢方面较为活跃,二级功能层子功能基因丰度在厌氧氨氧化启动过程发生明显变化;细菌群落涉及49个参与氮素代谢的相关功能基因,且不同时间阶段参与硝化、反硝化、厌氧氨氧化、硝酸盐同化/异化还原和亚硝酸盐同化/异化还原过程的相关功能基因丰度发生明显变化.     

臭氧投量对SBR系统污泥沉降性能及脱氮除磷的影响

以污水厂冬季膨胀期污泥（SVI=280 mL·g^-1）为对象,研究了臭氧投量对SBR系统污泥沉降性能及脱氮除磷效果的影响.结果表明,低浓度投加臭氧（0.085 g·g^-1,以O₃/MLSS计）20 d后,菌丝体被打断,SVI降至125 mL·g^-1,消除了污泥膨胀,且硝化、除磷效果不受影响.高浓度投加臭氧,污泥的沉降性能反而开始恶化,除磷效率也降至60%左右.进一步研究表明,PS/PN与SVI呈正相关关系（R²=0.9381）,可表征污泥的沉降性能;臭氧除打断菌丝体外,还通过改变EPS的含量及组分影响着污泥的沉降性能.     

城市污水除磷脱氮MSBR工艺试验研究

MSBR系统是一种新型的生物脱氮除磷工艺 ,它介于连续流和序批操作之间。采用容积 2 6m3 的MSBR系统中进行了 3个工况的水力负荷试验 ,研究了系统的除磷脱氮效果及其影响因素。由于系统的特点 ,当进水碳磷比较低时 ,系统仍有良好的除磷效果。但遇持续降雨时 ,大量雨水进入合流污水 ,进水中有机物浓度急剧下降会导致除磷效果恶化。由于采用后置反硝化形式 ,MSBR系统的反硝化阶段无法得到充足的外碳源 ,脱氮率受到限制     

多段进水A/O生物膜工艺运行性能的研究

为提高多段进水A/O生物膜工艺的脱氮效率,按照进入各缺氧池的COD量与硝态氮量的比值相同,且等于一最优比值的原则进行流量分配,按照容积负荷相等的原则设计各反应单元,对多段进水A/O生物膜工艺的流量分配和反应单元容积分配同时进行优化,并采用三段进水A/O生物膜反应器试验了等流量分配模式下运行和优化模式下运行的出水水质的差异.试验结果表明,当多段进水A/O生物膜工艺在两种模式下采用相同参数运行时,优化模式下总氮(TN)去除率明显高于等流量模式,其分别为88.8%和80.3%.优化模式与等流量分配模式对COD和总凯氏氮的去除率差别不大(均可达到97%和98%以上).采用该优化设计方法可以显著提高该工艺的TN去除效率.     

pH值对SBR单级好氧生物除磷的影响

在2个序批式反应器(R1、R2)中,以合成废水为对象,研究了不同pH值(R1:pH 8±0.2; R2:pH 7±0.2)对单级好氧生物除磷的影响;并通过比较周期中主要储能物质的变化,探讨了产生不同除磷效果的原因.结果表明,R1与R2均具有较高除磷性能, R1与R2中的平均去除率分别为94.9%,83.5%,pH值对SBR单级好氧生物除磷有一定的影响.导致R1具有较高除磷性能的原因是其对聚磷的依赖程度更大.好氧段R1糖原积累量低于R2(R1为1.42mmol/g, R2为1.55mmol/g),但降解量却高于R2(分别为1.41,1.19mmol/g);静置期,R1中糖原无明显变化,R2中则观察到明显的糖原降解.R1与R2均有明显的释磷现象, R1释磷量高于R2(释磷量分别为9.65,7.33mg/L).整个周期中,R1中PHA 无明显变化,而R2中则在好氧段有少量减少,静置期有少量上升.     

宜兴市清源污水处理厂升级改造工艺设计

宜兴市清源污水处理厂升级改造工程设计规模5×104m3/d,采用强化生物脱氮、机械微过滤(盘片过滤)工艺,利用现有池容进行内部改造,同时增加深度处理设施,提高出水标准,改造后出水ρ(COD)、ρ(BOD5)、ρ(SS)、ρ(NH3-N)、ρ(TN)和ρ(TP)平均值分别为34,6,5,1.3,10.3和0.36mg/L,各项水质指标均达GB18918-2002《城镇污水处理厂污染物排放标准》一级A标准。     

A heuristic approach to predicting water beetle diversity in temporary and fluctuating waters

An understanding of the causal mechanisms and processes that shape macroinvertebrate communities at a local scale has important implications for the management and conservation of freshwater biodiversity. Here we compare the performance of linear and non-linear statistics to explore diversity-environment relationships using data from 76 temporary and fluctuating ponds in two regions of southern England. We focus on aquatic beetle assemblages, which have been shown to be excellent surrogates of wider freshwater macroinvertebrate diversity. Ponds in the region contained a rich coleopteran fauna, totaling 68 species, which provided an excellent model system with which to compare the performance of two non-linear procedures (artificial neural networks—ANNs and generalised additive models—GAMs) and one more traditional linear approach (Multiple linear regression—MLR) to modelling diversity-environment relationships. Of all approaches employed, the best fit was obtained using an ANN model with only four input variables (conductivity, turbidity, magnesium concentration and depth). This model accounted for 82% of the observed variability in Shannon diversity index across ponds. In contrast, the best GAM and MLR models only explained 50% and 14% of this variation, respectively. Contribution profile analysis of conductivity, turbidity, magnesium concentration and depth, obtained from the best fit ANN through a hierarchical cluster analysis, allowed the identification of direct and proxy effects in relation to the environmental variables measured in this study. In each case, distinct clusters of ponds were identified in contribution profile analysis, suggesting that ponds across the two regions fall into a number of discrete groups, whose beetle faunas respond in subtly yet significantly different ways to key environmental variables. Aquatic coleopteran diversity in ponds in the two regions appears to be driven at a local scale by changes in relatively few physicochemical gradients, which are related to diversity in a clearly non-linear manner.     

Emergy analysis using US economic input-output models with applications to life cycles of gasoline and corn ethanol

A commonly encountered challenge in emergy analysis is the lack of transformity data for many economic products and services. To overcome this challenge, emergy analysts approximate the emergy input from the economy via a single emergy/money ratio for the country and the monetary price of economic inputs. This amounts to assuming homogeneity in the entire economy, and can introduce serious uncertainties in the results. This paper proposes and demonstrates the use of a thermodynamically augmented economic input-output model of the US economy for obtaining sector-specific emergy to money ratios that can be used instead of a single ratio. These ratios at the economy scale are more accurate than a single economy-wide emergy/money ratio, and can be obtained quickly for hundreds of economic products and services. Comparing sector-specific emergy/money ratios with those from conventional emergy studies indicates that the input-output model can provide reasonable estimates of transformities at least as a stop-gap measure until more detailed analysis is completed. A hybrid approach to emergy analysis is introduced and compared with conventional emergy analysis using life cycles of corn ethanol and gasoline as examples. Emergy and transformity data from the hybrid approach are similar to those from conventional emergy analysis, indicating the usefulness of the proposed approach. In addition, this work proposes the metric of return on emergy investment for assessing product alternatives with the same utility such as transportation fuels. The proposed approach and data may be used easily via web-based software.     

Biodiversity Differences between Managed and Unmanaged Forests: Meta-Analysis of Species Richness in Europe

Abstract: Past and present pressures on forest resources have led to a drastic decrease in the surface area of unmanaged forests in Europe. Changes in forest structure, composition, and dynamics inevitably lead to changes in the biodiversity of forest‐dwelling species. The possible biodiversity gains and losses due to forest management (i.e., anthropogenic pressures related to direct forest resource use), however, have never been assessed at a pan‐European scale. We used meta‐analysis to review 49 published papers containing 120 individual comparisons of species richness between unmanaged and managed forests throughout Europe. We explored the response of different taxonomic groups and the variability of their response with respect to time since abandonment and intensity of forest management. Species richness was slightly higher in unmanaged than in managed forests. Species dependent on forest cover continuity, deadwood, and large trees (bryophytes, lichens, fungi, saproxylic beetles) and carabids were negatively affected by forest management. In contrast, vascular plant species were favored. The response for birds was heterogeneous and probably depended more on factors such as landscape patterns. The global difference in species richness between unmanaged and managed forests increased with time since abandonment and indicated a gradual recovery of biodiversity. Clearcut forests in which the composition of tree species changed had the strongest effect on species richness, but the effects of different types of management on taxa could not be assessed in a robust way because of low numbers of replications in the management‐intensity classes. Our results show that some taxa are more affected by forestry than others, but there is a need for research into poorly studied species groups in Europe and in particular locations. Our meta‐analysis supports the need for a coordinated European research network to study and monitor the biodiversity of different taxa in managed and unmanaged forests.     

武汉市城市绿化树种结构与分布特征分析

针对武汉市城市森林的抽样调查分析表明,城市树木树种构成集聚性明显而多样性相对较差、长势一般;城市扰动因素明显影响了树木的自然生长过程。在所调查的93种植物中,其总体多样性指数为0.727 8;行道绿地为0.187;公园绿地为4.296。结果表明武汉市城市森林的基本格局、树种结构,以及树种分布上均有待于改善。