胞外聚合物磷酸盐形态对生物除磷过程的影响研究

以不同DO条件下污泥龄(SRT)分别为10 d和30 d的两组实验室A/O-SBR反应器活性污泥为研究对象,探讨了胞外聚合物(EPS)磷酸盐形态对生物除磷过程的影响.结果表明,污泥絮体中的磷主要分布于EPS中,PO3-4-P和聚磷酸盐(Poly-P,包括低分子量聚磷酸盐LMW PolyP和高分子量聚磷酸盐HMW Poly-P)是EPS磷的主要形态;EPS对生物除磷的影响明显大于细菌细胞,EPS磷的厌氧降低量和好氧升高量为胞内磷变化量的2.8~6.4倍.EPS中的LMW Poly-P和HMW Poly-P含量均表现厌氧降低和好氧升高的变化规律;对于相同SRT的污泥,中DO(2.5~3.5 mg·L-1)条件较低DO(0.7~1.0 mg·L-1)条件下EPS的LMW Poly-P和HMW Poly-P有更大的厌氧降低量和好氧升高量,对应着更明显的生物除磷过程,说明EPS不仅是生物除磷过程的中转站,而且参与了生物聚磷过程.     

居民对垃圾焚烧发电态度的实证研究——以泰安市垃圾焚烧电厂为例

基于对山东省泰安市垃圾焚烧发电厂周边居民的调查数据,运用SPSS20.0统计软件对数据进行二元Logistic回归分析,探讨垃圾焚烧发电厂周边居民对电厂态度的影响因素。实证结果表明,是否被征求意见、是否接受物质补偿这二个变量对周边居民的态度具有显著的正向影响;而受教育年限、是否知道二噁英、居住地与电厂距离与周边居民态度呈显著负相关关系。结合相关研究,发现本研究中影响电厂周边居民态度的因素既有普遍性,也有特殊性。     

微生物燃料电池处理含S2-/NH4+废水的研究

以除硫硝化微生物燃料电池(Microbial Fuel Cell,MFC)处理含S~(2-)/NH_4~+的模拟无机废水,研究了不同进水S~(2-)浓度下MFC的产电性能、污染物去除效果和阳极室硫累积情况.结果表明,除硫硝化MFC可实现同步阳极除硫和阴极硝化,并通过非生物电化学作用和生物电化学作用共同产电.进水S~(2-)浓度为(60.8±2.9)、(131.7±2.4)、(161.7±4.5)和(198.1±3.1)mg·L~(-1)时,最佳阳极碳刷清洗周期分别为3、3、3、4个换水周期,前3个进水浓度下的换水周期可分别缩短为6、8和8 h.MFC阴极硝化完全,不受进水S~(2-)浓度影响,但氧从阴极向阳极的渗漏导致阳极库仑效率较低(40%).适当增加进水S~(2-)浓度可增强MFC的产电性能并提高S~(2-)去除负荷和颗粒硫累积比.除硫硝化MFC适宜的进水S~(2-)浓度为(161.7±4.5)mg·L~(-1),相应的最大功率密度为5.77 W·m~(-3),周期产电量为(141.0±5.2)C,S~(2-)去除负荷为(0.31±0.00)g·L~(-1)·d~(-1),颗粒硫累积比达58%.阳极碳纤维丝上沉积有粒径约100 nm的颗粒硫.阳极悬浮物与沉积物相比,悬浮物中S0含量比例较高,而S6+含量比例较低.     

秸秆压块与燃煤供热系统生命周期环境排放对比研究

为证明采用秸秆压块燃料替代煤炭进行供热的可持续性,对秸秆压块和燃煤供热系统的生命周期环境排放进行了对比分析.基于我国2012年投入产出表,构建了投入产出生命周期评价(IO-LCA)和过程生命周期评价(PLCA)相结合的混合生命周期评价(Hybrid-LCA)模型,核算了玉米秸秆压块和燃煤供热系统供应1 GJ热的生命周期CO2、SO2、NOx和PM2.5排放.结果显示,秸秆压块供热系统的生命周期CO2排放量为7 kg·GJ-1热,比燃煤供热排放减少121 kg.此外,秸秆压块供热系统比燃煤供热系统可以分别减少SO2排放98%、NOx排放76%和PM2.5排放58%.控制原料水分,通过减少原料收集和能源转化过程中的耗损,减少能源转化过程的电力消耗以及控制原料收集半径等可以有效改进秸秆压块供热系统环境表现.     

不同光照时间对杏鲍菇生长发育的影响

为探究光照时间对杏鲍菇生长发育的影响,设置蓝、白两种光质,每种光质下设置5种不同光照时间处理进行栽培试验,并测定每个处理下杏鲍菇原基形成与分化速度、菇蕾与子实体形态、产量及可溶性蛋白质与总糖含量.结果显示,原基形成速度随光照时间增加呈现先增加后降低的趋势,蓝光下以15 min光照15 min黑暗时间处理下原基形成速度最...     

基于可编辑VR实验平台的突发事件下跟随效应研究

建立了可编辑VR疏散动力学实验平台,并招募100名大学生开展地铁车厢内的虚拟实验,探究突发事件下的跟随效应。每次实验有一名实验人员和20名虚拟乘客(NPC)参与,共设置5个场景探究不同比例的运动NPC对参与者预动作行为和运动行为的影响。通过分析问卷、预动作时间、出门选择、运动距离等数据,发现在实验中存在跟随等待人群和跟随运动人群两种跟随效应,而人群的运动是更为强烈的信息,当等待和运动NPC占比从0%提升至50%,等待和运动参与者占比分别提高10%和60%。因此,在突发事件场景中,应及时对局部人群施加有效的同向引导,以提升整体疏散效率。     

Use of principal component analysis to profile temporal and spatial variations of chlorinated solvent concentration in groundwater

This work aims at evaluating spatial distribution patterns of concentration variations for chlorinated solvents in groundwater, based on principal component analysis and geographic information system (GIS) tools. The study investigates long-time series of chlorinated solvent concentrations in groundwater measured for 18 contaminated industrial sites. The characterization of contaminant plumes and delineation of pollutant sources are essential for choosing appropriate monitoring and remediation strategies, as contaminated groundwaters are characterized by complex patterns of spatial and temporal concentration variability, with wide unpredictable fluctuations over time. The present work describes the results of a new exploratory statistical method called the Variability Index Method (VIM) applied to environmental data to assess the performance of using concentration variations as molecular tracers to reveal aquifer dynamics, industrial impacts, and point sources for contamination plumes. The application of this method provides a useful assessment of controls over contaminant concentration variations as well as support for remediation techniques.     

Trends in airborne particulates in Stuttgart, Germany: 1972-2005

Since 1972, at the University of Hohenheim in Stuttgart, Germany, airborne particulate matter (PM12 and then PM10) was continuously collected on filters and analyzed for environmentally relevant elements by X-ray fluorescence analysis. The resulting long-term time series are suitable for the investigation of trends and of seasonal variation. For the period 1972-2005, monthly and annual concentration mean values of 13 elements (Br, Ca, Cr, Cu, Fe, K, Mn, Ni, Pb, S, Ti, V, and Zn) in the air are presented. Trend curves were fitted and the mean yearly variation of the concentration for these elements was calculated and represented graphically. All trend curves show a diminution of the air pollution during this period, but to different extents. Mean trends in percent per year were calculated for each element both for the entire investigation period and for three data subsets of 10-11 years. Possible explanations are discussed in detail.     

Phosphorus Load Reduction Goals for Feitsui Reservoir Watershed, Taiwan

The present paper describes an effort for developing the total maximum daily load (TMDL) for phosphorus and a load reduction strategy for the Feitsui Reservoir in Northern Taiwan. BASINS model was employed to estimate watershed pollutant loads from nonpoint sources (NPS) in the Feitsui Reservoir watershed. The BASINS model was calibrated using field data collected during a 2-year sampling period and then used to compute watershed pollutant loadings into the Feitsui Reservoir. The simulated results indicate that the average annual total phosphorus (TP) loading into the reservoir is 18,910 kg/year, which consists of non-point source loading of 16,003 kg/year, and point source loading of 2,907 kg/year. The Vollenweider mass balance model was used next to determine the degree of eutrophication under current pollutant loading and the load reduction needed to keep the reservoir from being eutrophic. It was estimated that Feitsui Reservoir can becoming of the oligotrophic state if the average annual TP loading is reduced by 37% or more. The results provide the basis on which an integrated control action plan for both point and nonpoint sources of pollution in the watershed can be developed.     

Relation of waste generation and composition to socio-economic factors: a case study

To develop an effective waste management strategy for a given region, it is important to know the amount of waste generated and the composition of the waste stream. Past research has shown that the amount of waste generated is proportional to the population and the average mean living standards or the average income of the people. In addition, other factors may affect the amount and composition of waste. These are climate, living habits, level of education, religious and cultural beliefs, and social and public attitudes. This paper presents the findings of a study carried out in a suburban municipal area in Sri Lanka to determine the solid waste generation rate and waste composition based on field surveys and to determine the related socio-economic factors. A database was developed that included information on the quantity and composition of waste generated in a sample of households in the study area over a time period. The collected data was analysed to relate waste generation and composition data to various socio-economic factors. Over 400 sample households were selected for the study using a stratified random sampling methodology based on municipal wards and property values. A technique that considers both the number of households in a particular income group (property value range) and the standard deviation of property values within a given income group was used to determine the appropriate sample size for each municipal ward. Through category and regression analyses, the quantities of waste and waste composition were related to several socio-economic factors. The paper describes the basis for the sample selection, the methodology adopted for data collection, the socio-economic parameters used for the analysis, and the relationships developed from the analysis.