复合潜流人工湿地对农村生活污水的净化效果 及其微生物群落结构特征

试验探究了复合潜流人工湿地对农村生活污水的净化效果及其微生物群落结构特征。结果表明，当水力负荷为0.35 m³·(m²·d）^-1时，系统对TN、NH₄⁺-N、COD和TP去除效率分别为（89.84±7.64）%、（98.67±1.31）%、（61.63±16.01）%和（70.21±8.00）%。湿地中一共发现11个主要菌门、18个主要菌纲和33个主要菌属，变形菌门（Proteobacteria）、蓝藻门（Cyanobacteria）、拟杆菌门（Bacteroidetes）、厚壁菌门（Firmicutes）、绿弯菌门（Chloroflexi）、酸杆菌门（Acidobacteria）、放线菌门（Actinobacteria）是其中的优势菌门，它们在各级湿地中表层和底层的相对丰度分别是57.26%、61.37%、91.60%、93.22%、88.78%、88.02%。蓝藻菌纲（Cyanobacteria）、α-变形菌纲(Alphaproteobacteria) 、芽孢杆菌纲(Bacilli)和γ-变形菌纲(Gammaproteobacteria)、β-变形菌纲(Betaproteobacteria)是其中优势菌纲，约占主要菌纲的70%。共有17个优势菌属，在各级湿地中的分布情况不同，其中芽孢杆菌属（Bacillus）相对丰度最高，集中分布于第三级湿地，其次是Leptolyngbya、席藻属（Phormidium），在第一、二级湿地中广泛分布。复合潜流人工湿地具有良好污水净化效果，系统中有机物和氮素的去除主要依靠微生物作用，磷素的去除主要依靠基质吸附沉淀作用。     

基于流固耦合的除杂风机应力应变及模态研究

叶轮是除杂风机的重要部件之一,叶轮在运行中的应力应变对除杂风机的安全运行有着重要的影响,而叶轮振动是风机的常见故障,所以流固耦合条件下的除杂风机叶轮变形及振动分析对甘蔗收获机除杂风机的安全有着重要的意义。为此,采用有限元分析软件Ansys Workbench对除杂风机叶轮进行了单向流固耦合计算分析,结果表明:叶轮在流固耦合作用下会发生弯曲扭振变形,最大应力分布在叶片与轮毂的交界处,最大应变分布在叶片外缘处;所设计的叶轮最大应力为21.48MPa,小于材料极限应力,而工作转速也远离振动转速,均满足工作要求。该研究为甘蔗收获机的除杂风机设计提供了参考。     

菌剂挂膜3D-RBC联合BCO工艺处理养猪沼液废水

针对养猪沼液废水寡营养、高氨氮的水质特征，该研究采用耐高氨氮、适应贫营养生长的异养硝化-好氧反硝化（Heterotrophic Nitrification-Aerobic Denitrification，以下简称HN-AD）菌挂膜启动三维结构生物转盘+生物接触氧化反应器（3D-RBC+BCO）组合工艺对沼液进行处理。该文研究了3D-RBC+BCO组合工艺在真实沼液条件下的启动过程及污染物去除效果，重点考察了溶解氧（Dissolved Oxygen，DO）浓度和C/N比2个关键因素对组合工艺污染物去除效果的影响。同时，借助高通量测序技术对DO和C/N比优化过程中微生物群落结构的变化规律进行解析。结果表明：在真实沼液条件下，采用HN-AD菌剂挂膜启动方法，仅用12和18 d就分别完成3D-RBC和BCO反应器的挂膜启动，同时组合工艺对COD、NH4+-N和TN的去除率分别稳定在94.8%、95.7%和80.1%，出水优于城镇污水厂排放一级B标准。在对3D-RBC反应器DO和C/N比的优化过程中，增设底曝后COD、NH4+-N和TN等指标的去除率分别降低了25.4%、15.4%和15.5%。高通量测序结果显示，增加底曝后3D-RBC盘片生物膜中微生物菌属的数量小幅下降，但HN-AD优势菌属的种类与丰度显著降低，导致脱氮效率下降；贫营养型Acinetobacter、Pseudomonas菌属是3D-RBC可以对真实沼液高效脱氮的关键，提高C/N比会显著降低其丰度，进而影响脱氮效果。     

Microbial remediation of a pentachloronitrobenzene-contaminated soil under Panax notoginseng: A field experiment

Pentachloronitrobenzene (PCNB) is an organochlorine fungicide that is mainly used in the prevention and control of diseases in crop seedlings. Microbial removal is used as a promising method for in-situ removal of many organic pesticides and pesticide residues. A short-term field experiment (1 year) was conducted to explore the potential role of a PCNB-degrading bacterial isolate, Cupriavidus sp. YNS-85, in the remediation of a PCNB-contaminated soil on which Panax notoginseng was grown. The following three treatments were used:i) control soil amended with wheat bran but without YNS-85, ii) soil with 0.15 kg m^-2 of solid bacterial inoculum (A), and iii) soil with 0.30 kg m^-2 of solid bacterial inoculum (B). The removal of soil PCNB during the microbial remediation was monitored using gas chromatography. Soil catalase and fluorescein diacetate (FDA) esterase activities were determined using spectrophotometry. In addition, cultivable bacteria, fungi, and actinomycetes were counted by plating serial dilutions, and the microbial biodiversity of the soil was analyzed using BIOLOG. After 1 year of in-situ remediation, the soil PCNB concentrations decreased significantly by 50.3% and 74.2% in treatments A and B, respectively, when compared with the uninoculated control. The soil catalase activity decreased in the presence of the bacterial isolate, the FDA esterase activity decreased in treatment A, but increased in treatment B. No significant changes in plant biomass, diversity of the soil microbial community, or physicochemical properties of the soil were observed between the control and inoculated groups (P<0.05). The results indicate that Cupriavidus sp. YNS-85 is a potential candidate for the remediation of PCNB-contaminated soils under P. notoginseng.     

Estimation of litchi (Litchi chinensis Sonn.) leaf nitrogen content at different growth stages using canopy reflectance spectra

The estimation of crop nitrogen status in fresh vegetation leaf using field spectroscopy is challenging due to the weak responses on leaf/canopy reflectance and the overlapping with the absorption features of other compounds. Although the spectral indices were proposed in the literature to predict leaf nitrogen content (LNC), the performance of selected spectral indices to estimate the LNC is often inconsistent. Moreover, the models for nitrogen content estimation changed with the growth stage. The goal of this study was to evaluate the performance of published indices, ratio of data difference index (RDDI) and ratio of data index (RDI) developed by band iterative-optimization algorithm in LNC estimation. The correlation analysis, linear regression and cross validation were used to analyze the relationship between spectral data and LNC and construct the best performed estimation model. The study was conducted by the data of five growing seasons of litchi from the orchards in Guangdong Province of China. Results showed that the relationship between chlorophyll (Chl) related spectral indices and LNC varied with the growth stage. Even in flower bud morphological differentiation stage and autumn shoot maturation stage, there were not significant correlations between the proposed spectral indices and LNC. Besides it is difficult to estimate the LNC by the general model across the growth stages due to the integrated effects of cultivar, biochemical, canopy structure, etc. The band iterative-optimization algorithm can improve the sensitivity of spectral data to LNC to some extent. The optimal RDDI performed better than other indices for the synthetic dataset and the dataset in each growth stage. And the sensitive bands selected in the optimal indices at each growth stage are not consistent, which are not only related to the Chl absorption but also other biochemical components, such as starch, lignin, cellulose, protein, etc. In general, the LNC can be estimated by the optimized CR-based RDDI indices in autumn shoot maturation stage, flower spike stage, fruit maturation stage, and flowering stage with the R² > 0.50 and RMSE < 0.14. Although there were the significant relationship between RDIs and RDDIs in flower bud morphological differentiation stage, the highest R²s of the model developed by RDDIs and RDIs were less than 0.50 in cross validation. This study indicated that the applicability of canopy reflectance to estimate litchi LNC was closely related to the growth stage of litchi. Growth stage-specific models will be preferred for estimating litchi LNC estimation.     

Response of labile organic C and N pools to plastic film removal from semiarid farmland soil

To examine the effects of plastic film removal on grain yield and soil organic matter (SOM), a spring maize (Zea may L.) field experiment was conducted for 5 yr at Changwu Agricultural and Ecological Experimental Station of Northwest China. Compared with traditional plastic film mulching during entire growing stages (FM), plastic film removal at the silking stage (RM) resulted in a 6.3% higher average maize yield. Under the RM treatment, soil organic carbon and total nitrogen significantly increased after the 5‐yr cultivation in the 0‐ to 20‐cm layer. Significant increases in extractable organic C (EOC), KMnO₄‐oxidizable C (KMnO₄‐C) and C management index (CMI) in the 0‐ to 20‐cm layer, and light fraction organic C and EOC in the 20‐ to 40‐cm layer were observed in response to plastic film removal after the 1‐yr treatment; the responses were more significant after 5 yr. Under the RM treatment, significant increases in microbial biomass C, light fraction organic N, extractable organic N, KMnO₄‐C and CMI were also observed after five years in the 20‐ to 40‐cm layer. Moreover, KMnO₄‐C and EOC were much more sensitive than other labile SOM fractions to the application of RM, even after only 1 yr of cultivation. Therefore, compared with mulching for the whole growing season, plastic film removal at the maize silking stage is an effective option for increasing yields and enhancing SOM concentration and soil sustainability in the regions with semiarid monsoon climates that have sufficient rainfall during maize reproductive stages.     

Changes in the density and growth of brown trout (Salmo trutta) after intensive removal of sympatric Arctic charr (Salvelinus alpinus) in the sub‐Arctic lake Møkkelandsvatn,Norway

This study tests the basic hypothesis that the removal of charr, Salvelinus alpinus (L.), would cause an increase in both the growth and density of a sympatric trout population, Salmo trutta L. The charr population was characterised by slow‐growing individuals, with a high proportion of mature fish, that is typical for so‐called overpopulated populations. A total of 31,000 charr was removed from the lake in the period 1990–1992, and the density of younger trout (1+, 2+), but not older trout (3+, 4+), increased. The growth of older trout (3+, 4+) increased, but the evidence for similar growth increases of younger trout (1+, 2+) was limited. From 1989 to 1990, the proportion of trout increased from 30 to only 40% of the total catch, but from 1991 to 1994, it was significantly higher (60–80%) than that of charr. Total trout biomass increased to a maximum in 1992 and then decreased so that the biomass of 1994 was nearly similar to that of 1989, that is before the start of the charr removal. Back‐calculated lengths of trout from otoliths showed that 2+ and 3+ trout caught in the pelagic were growing consistently faster over previous years than those caught in the littoral, while this was not the case for the 4+ fish. Therefore, the hypothesis was partially supported; the growth rate of trout increased (age groups 1+ to 4+), while the density of juvenile trout (1+, 2+), but not the older trout (3+, 4+), increased after the removal of charr.     

DBD技术处理鱼粉厂恶臭气体的研究

为了去除鱼粉加工中产生的大量恶臭气体,利用DBD低温等离子体技术对硫化氢和三甲胺进行去除,并在单因素试验的基础上,采用Box-Behnken设计方法,考察了电压、放电频率、处理时间、初始浓度及其交互作用对硫化氢和三甲胺去除率的影响。结果表明,响应面法优化所得的最佳工艺条件为:电压10.6k V,放电频率8.91KHz,处理时间0.26s,硫化氢初始浓度0.76mg·m-3,三甲胺初始浓度为19.8mg·m-3。此条件下硫化氢和三甲胺的去除率均可达100%,能耗为1.77×10-2KW·h·m-3;同时,验证试验结果与模型预测值吻合。本研究为DBD技术在鱼粉厂去除恶臭气体中的应用奠定了基础。     

剩余污泥臭氧化减量处置方法研究进展

综合臭氧污泥减量化近年来的发展和研究,对其技术原理和工艺应用进行分析,提出了其现存问题,并讨论了未来的技术发展万向.