Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH₄⁺-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m³/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH₄⁺-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH₄⁺-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH₄⁺-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R²) and lower root mean squared errors (RMSE) values.     

Effects of bed materials on the performance of an anaerobic sequencing batch biofilm reactor treating domestic sewage

The objective of this study was to determine the best performance of an anaerobic sequencing batch biofilm reactor (AnSBBR) based on the use of four different bed materials as support for biomass immobilization. The bed materials utilized were polyurethane foam (PU), vegetal carbon (VC), synthetic pumice (SP), and recycled low-density polyethylene (PE). The AnSBBR, with a total volume of 7.2L, was operated in 8-h batch cycles over 10 months, and fed with domestic sewage with an average influent chemical oxygen demand (COD) of 358+/-110mg/L. The average effluent COD values were 121+/-31, 208+/-54, 233+/-52, and 227+/-51mg/L, for PU, VC, SP, and PE, respectively. A modified first-order kinetic model was adjusted to temporal profiles of COD during a batch cycle, and the apparent kinetic constants were 0.52+/-0.05, 0.37+/-0.05, 0.80+/-0.04, and 0.30+/-0.02h(-1) for PU, VC, SP, and PE, respectively. Specific substrate utilization rates of 1.08, 0.11, and 0.86mg COD/mgVS day were obtained for PU, VC, and PE, respectively. Although SP yielded the highest kinetic coefficient, PU was considered the best support, since SP presented loss of chemical constituents during the reactor's operational phase. In addition, findings on the microbial community were associated with the reactor's performance data. Although PE did not show a satisfactory performance, an interesting microbial diversity was found on its surface. Based on the morphology and denaturing gradient gel electrophoresis (DGGE) results, PE showed the best capacity for promoting the attachment of methanogenic organisms, and is therefore a material that merits further analysis. PU was considered the most suitable material showing the best performance in terms of efficiency of solids and COD removal.     

泗顶矿区6种土地利用类型土壤微生物群落结构特征

以广西柳州泗顶铅锌矿区的玉米地、菜地、灌木、尾矿库、森林和柑橘园6种不同利用类型土壤为研究对象,采用高通量测序技术,分析了不同土地利用类型土壤微生物群落结构特征及土壤环境因子对微生物群落结构的影响.结果表明,变形菌门（Proteobacteria）是6种土壤的优势菌门,所占比例为31.34%~53.47%,γ-变形菌纲（Gammaproteobacteria）为优势菌纲.冗余分析表明,在重金属含量最高的灌木区,厚壁菌门（Firmicutes）和拟杆菌门（Bacteroidetes）的丰度与土壤中铅、锌、镉、铜的含量呈现显著正相关;在土壤钠和钾含量较高的玉米地和菜地,浮霉菌门（Planctomycetes）的丰度有所增加,而厚壁菌门和拟杆菌门的丰度则有所下降.在土壤有机质含量较高而总氮、总磷含量较低的柑橘园,酸杆菌门（Acidobacteria）和疣微菌门（Verrucomicrobia）的丰度较高.芽单胞菌门（Gemmatimonadetes）和浮霉菌门的丰度与土壤pH值呈显著正相关.研究结果表明土地利用类型及土壤环境因子对土壤微生物群落结构多样性有显著的影响.     

响应土壤阴离子类型的盐碱土古细菌群落多样性研究

为初步解析我国黑龙江苏打盐碱地（HA）、新疆荒漠盐碱地（XD）、山西平原盐碱地（SY）、江苏滨海盐碱地（JD）和天津滨海盐碱地（TB）5个地区的土壤古细菌群落结构多样性,以及其响应土壤不同阴离子类型的分布特征,采用基于Illumin-Hiseq平台的高通量测序技术获得489~604个古细菌可操纵分类单元（OTU）.OTU多样性分析结果表明XD的古细菌群落物种丰富度最高,SY和HA分别具有最高和最低的古细菌群落多样性和均匀度;OTU的物种注释结果表明HA以奇古菌门（Thaumarchaeota）为优势菌门,其他土壤均以广古菌（Euryarchaeota）为优势;综合5个样品古细菌群落结构、优势古细菌属和土壤阴离子进行的典范对应分析（CCA）结果显示,XD古细菌群落结构和Haloterrigena属（XD中最优势,相对丰度20.2%）明显的响应土壤SO₄^2-浓度;HA古细菌群落结构和Nitrososphaera属（HA中最优势,62.3%）明显的响应土壤HCO₃^-/CO₃^2-浓度和pH;JD、SY和TB古细菌群落结构、Halorubrum属（JD和TB中最优势,24.4%和15.6%）,和Natronomonas属（SY和JD中第二优势,8.1%和9.2%）明显的响应土壤Cl^-浓度.研究结果说明我国不同地域分布的盐碱土受其土壤阴离子类型及其浓度的影响,呈现不同的古细菌群落结构和分布特征.研究结果为我国不同类型盐碱土古细菌资源的挖掘提供依据,也为揭示我国不同类型盐碱土古细菌群落的生态功能提供参考.     

水稻土中五氯酚的降解转化动态及其对微生物群落的影响

采用室内培养实验,研究厌氧条件下水稻土中五氯酚(Pentachlorophenol,PCP)的还原转化与微生物群落组成变化。结果表明,室内培养实验条件下,PCP在水稻土样品中降解比较迅速,在反应17 d时,实验添加的PCP能够完全被还原转化。高通量测序结果显示PCP的添加明显改变了水稻土壤的微生物群落结构,其微生物多样性显著下降,在PCP降解完之后逐渐恢复。原始土壤以及添加PCP的土壤样品中其优势微生物主要分布在变形菌门(Proteobacteria)。PCP添加刺激了水稻土中伯克氏菌科(Burkholderiaceae)、丛毛单胞菌科(Comamonadaceae)、地杆菌科(Geobacteraceae)、红环菌科(Rhodocyclaceae)和假单胞菌科(Pseudomonadaceae)等脱氯相关的微生物菌群繁殖,成为PCP降解过程中的优势菌群,有利于PCP还原降解。本研究结果可为水稻土中有机氯农药污染物的微生物降解脱毒提供理论依据。     

大气环境质量综合评价加权灰色关联模型的建立与应用

利用灰色理论建立大气环境质量综合评价加权灰色关联模型 ,运用污染贡献率确定权重系数。与其它评价模型相比 ,加权灰色关联模型还具有排序功能 ,实例表明该模型是简便有效的     

Characterization of microbial communities from coastal waters using microarrays

Molecular methods, including DNA probes, were used to identify and enumerate pathogenic Vibrio species in the Chesapeake Bay; our data indicated that Vibrio vulnificus exhibits seasonal fluctuations in number. Our work included a characterization of total microbial communities from the Bay; development of microarrays that identify and quantify the diversity of those communities; and observation of temporal changes in those communities. To identify members of the microbial community, we amplified the 16S rDNA gene from community DNA isolated from a biofilm sample collected from the Chesapeake Bay in February, 2000. The resultant 75 sequences were 95% or more similar to 7 species including two recently described Shewanella species, baltica and frigidimarina, that have not been previously isolated from the Chesapeake. When the genera of bacteria from biofilm after culturing are compared to those detected by subcloning amplified 16S fragments from community DNA, the cultured sample exhibited a strong bias. In oysters collected in February, the most common bacteria were previously unknown. Based on our 16S findings, we are developing microarrays to detect these and other microbial species in these estuarine communities. The microarrays will detect each species using four distinct loci, with the multiple loci serving as an internal control. The accuracy of the microarray will be measured using sentinel species such as Aeromonas species, Escherichia coli, and Vibrio vulnificus. Using microarrays, it should be possible to determine the annual fluctuations of bacterial species (culturable and non-culturable, pathogenic and non-pathogenic). The data may be applied to understanding patterns of environmental change; assessing the health of the Bay; and evaluating the risk of human illness associated with exposure to and ingestion of water and shellfish.     

生活垃圾生物处理的研究与展望

综述了国内外生活垃圾生物处理的研究进展和目前生活垃圾微生物研究水平，以及生活垃圾处理发展趋势与新动向，在此基础上提出了生活垃圾处理的建议和展望。     

厌氧-混凝工艺处理造纸厂终端废水试验研究

本文报告了用厌氧 -混凝工艺处理造纸厂终端废水的实验情况 ,在最佳实验条件下 ,废水从CODcr80 6 . 7m g/ L、BOD52 10 . 5 m g/ L、SS2 15 . 7m g/ L、OD4 650 . 35 0降至 CODcr6 1. 5 m g/ L、BOD52 7. 4m g/ L、SS17.3mg/ L、OD4 650 .0 11。实验结果表明对造纸厂终端废水的治理 ,本工艺是很有实用价值的一种方法     

单级与两级序批式反应器用于牛场污水处理的比较研究

对序批式反应器 (SBR)的特点进行了简要的介绍。研究了水力停留时间和有机负荷率对单级和两级SBR用于牛场污水处理时污染物去除率和出水水质的影响 ,并对单级和两级SBR的污水处理性能进行了比较。研究结果表明 ,当用单级SBR处理 10 0 0 0mg LCODCr的污水时 ,1d水力停留时间即可获得较好的处理效果 ,但出水中仍含有一定量的氨。两级SBR可使用较短的水力停留时间而获得较高的污染物去除率和较好的出水水质 ,并可通过硝化过程实现氨的完全的去除