Influence of pore structure on biologically activated carbon performance and biofilm microbial characteristics

• Pore structure affects biologically activated carbon performance. • Pore structure determines organic matter (OM) removal mechanism. • Microbial community structure is related to pore structure and OM removal. Optimizing the characteristics of granular activated carbon (GAC) can improve the performance of biologically activated carbon (BAC) filters, and iodine value has always been the principal index for GAC selection. However, in this study, among three types of GAC treating the same humic acid-contaminated water, one had an iodine value 35% lower than the other two, but the dissolved organic carbon removal efficiency of its BAC was less than 5% away from the others. Iodine value was found to influence the removal of different organic fractions instead of the total removal efficiency. Based on the removal and biological characteristics, two possible mechanisms of organic matter removal during steady-state were suggested. For GAC with poor micropore volume and iodine value, high molecular weight substances (3500–9000 Da) were removed mainly through degradation by microorganisms, and the biodegraded organics (soluble microbial by-products,<3500 Da) were released because of the low adsorption capacity of activated carbon. For GAC with higher micropore volume and iodine value, organics with low molecular weight (<3500 Da) were more easily removed, first being adsorbed by micropores and then biodegraded by the biofilm. The biomass was determined by the pore volume with pore diameters greater than 100 μm, but did not correspond to the removal efficiency. Nevertheless, the microbial community structure was coordinate with both the pore structure and the organic removal characteristics. The findings provide a theoretical basis for selecting GAC for the BAC process based on its pore structure.     

Treating wastewater under zero waste principle using wetland mesocosms

• Smart wetland was designed to treat wastewater according to zero waste principle. • The system included a dynamic roughing filter, Cyperus papyrus (L.) and zeolite. • It removed 98.8 and 99.8% of chemical and bacterial pollutants in 3 days. • The effluent reused to irrigate a landscape and the sludge recycled as fertilizer. • The plant biomass is a profitable resource for antibacterial and antioxidants. The present investigation demonstrates the synergistic action of using a sedimentation unit together with Cyperus papyrus (L.) wetland enriched with zeolite mineral in one-year round experiment for treating wastewater. The system was designed to support a horizontal surface flow pattern and showed satisfactory removal efficiencies for both physicochemical and bacteriological contaminants within 3 days of residence time. The removal efficiencies ranged between 76.3% and 98.8% for total suspended solids, turbidity, iron, biological oxygen demand, and ammonia. The bacterial indicators (total and fecal coliforms, as well as fecal streptococci) and the potential pathogens (Escherichia coli, Staphylococcus aureus, and Pseudomonas aeruginosa) showed removal efficiencies ranged between 96.9% and 99.8%. We expect the system to offer a smart management for every component according to zero waste principle. The treated effluent was reused to irrigate the landscape of pilot area, and the excess sludge was recycled as fertilizer and soil conditioner. The zeolite mineral did not require regeneration for almost 36 weeks of operation, and enhanced the density of shoots (14.11%) and the height of shoots (15.88%). The harvested plant biomass could be a profitable resource for potent antibacterial and antioxidant bioactive compounds. This could certainly offset part of the operation and maintenance costs and optimize the system implementation feasibility. Although the experiment was designed under local conditions, its results could provide insights to upgrade and optimize the performance of other analogous large-scale constructed wetlands.     

砒砂岩区不同留茬高度及坡向下沙棘根系分形特征

为提高内蒙古砒砂岩区沙棘(Hippophae rhamnoides)人工林根系的生长能力,对东(E)、南(S)、西(W)、北(N)不同坡向沙棘植株进行了距地表0、10、15、20 cm(即a、b、c、d)留茬高度处理,而根系分形特征是植物根系构型应对环境异质性的表型可塑性,为反映沙棘根系对不同坡向不同留茬生长环境的适应结果,基于分形理论在砒砂岩区对东、西、南、北不同坡向下留茬后的沙棘人工林的全根、主根、一级侧根及二级侧根分形特征以及根系和土壤含水率关系进行研究,以未平茬沙棘为对照(即e)。结果表明,(1)不同坡向相同留茬下沙棘根系分形维数(D)变化为E>N>W>S;土壤含水率为E>N>W>S,这与根系分形维数变化规律一致。(2)相同坡向不同留茬下沙棘根系分形维数(D)变化为c(留茬15 cm)>b(留茬10 cm)>a(留茬0 cm)>d(留茬20 cm)>e(未平茬)。(3)不同坡向不同留茬下沙棘根系各级分形维数变化为D3(二级侧根)>D2(一级侧根)>D1(主根),且D3与D呈显著正相关。(4)在相同坡向不同留茬下土壤含水率变化为:c相似文献   

鞍钢钢绳厂生产污水处理的工艺设计及运行效果

本文介绍了鞍钢钢绳厂生产废水处理工艺,包括沉淀系统、气浮系统、砂滤罐过滤系统。通过试验确定p H为11时,沉淀系统对Zn2+的去除率达到98.4%。通过正交试验确定当PAC用量为20 mg/L、PAM用量为2 mg/L、p H 7.5、气浮压力为1.2 Mpa时气浮系统对钢绳厂废水中SS、石油类、COD的去除率分别达到90%、70%、70%。经过砂滤罐过滤系统后废水中的SS为20 mg/L、石油类为2 mg/L、COD为48 mg/L,其去除率分别达到94%、78%、80%。     

Experimental study on filtration and continuous regeneration of a particulate filter system for heavy-duty diesel engines

This study investigated the filtration and continuous regeneration of a particulate filter system on an engine test bench, consisting of a diesel oxidation catalyst（DOC） and a catalyzed diesel particulate filter（CDPF）. Both the DOC and the CDPF led to a high conversion of NO to NO2 for continuous regeneration. The filtration efficiency on solid particle number（SPN） was close to100%. The post-CDPF particles were mainly in accumulation mode. The downstream SPN was sensitively influenced by the variation of the soot loading. This phenomenon provides a method for determining the balance point temperature by measuring the trend of SPN concentration.     

FBC-DPF在柴油机颗粒物控制中的应用研究

目前针对加装FBC-DPF(燃油添加剂-柴油机颗粒捕集器)后的柴油机放特性研究较少,并且缺乏FBC-DPF对颗粒物中PAHs排放量的影响效果研究. 为全面评估加装FBC-DPF后柴油机颗粒物排放特性和FBC-DPF对柴油机尾气中的颗粒物排放污染控制效果,在发动机台架上对装有FBC-DPF的重型柴油机进行了颗粒物排放特性试验. 利用电子低压撞击仪(ELPI)测量加装FBC-DPF前、后柴油机颗粒物的数浓度与粒径分布,用玻璃纤维滤膜采集加装FBC-DPF前、后尾气中的固相PAHs,利用色谱质谱联用仪对加装FBC-DPF前、后尾气中的固相PAHs进行定量分析. 结果表明:①加装FBC-DPF后柴油机排放的颗粒物数浓度大幅降低,FBC-DPF对尾气中颗粒物的捕集效率平均值在95%左右;②加装FBC-DPF后柴油机固相PAHs总比排放量有所降低,在大负荷区域降幅在25.0%~88.0%之间;③加装FBC-DPF前的颗粒物中位直径为30~89nm,而加装FBC-DPF后的颗粒物中位直径为41~98nm,平均增幅为38.2%. 对于国Ⅳ及未来国Ⅴ柴油机排放法规,FBC-DPF是解决柴油机颗粒物排放的有效手段;此外,FBC-DPF可以大幅降低柴油机尾气中的有毒成分,并且能够适应高含硫量的燃油环境.     

内蒙古羊草草原根呼吸和土壤微生物呼吸区分的研究

利用根生物量回归法对内蒙古锡林河流域羊草草原根呼吸和土壤微生物呼吸进行了区分.结果表明,根呼吸占土壤呼吸的比例在13%~52%之间,平均为(24±3)%;土壤微生物呼吸占土壤呼吸的比例在48%~87%之间,平均为(76±3)%.土壤呼吸与根生物量的线性相关性不稳定.根呼吸活力与根冠比具有负指数相关关系(R2=0.661,P=0.20),与0~10、10~20、20~30和30~40 cm土壤含水量均有极显著的正指数相关关系(P<0.000 1).根呼吸与根呼吸活力具有极显著的指数相关关系(R2=0.848,P=0.01),根呼吸对土壤呼吸的贡献量与根呼吸活力具有显著的指数相关关系(R2=0.818,P=0.01).     

24个CMIP5模式对长江流域模拟能力评估

根据1961~2005年长江流域气象站点的实测月降水量和气温数据,采用第5期全球耦合模式比较计划CMIP5(the Fifth Phase of Coupled Model Intercomparison Project)中24个全球气候模式(GCM)的模拟结果,通过计算模拟变量和观测变量平均值的相对误差、归一化的均方根误差、时间和空间相关系数,采用M-K趋势分析方法,分别选用在长江流域模拟气温和降水较好的5个模式进行集合平均,从时间的演变规律和空间的分布特征两方面,检验该模式集合对长江流域模拟气温和降水的能力。研究结果表明:各个模式模拟气温的能力要明显好于模拟降水的能力,但模拟气温较好的模式模拟降水的能力并不一定突出;模式集合的结果表明:在时间尺度上,模式集合平均结果与观测值拟合程度较好,且模式集合的结果振荡幅度较观测值小;在空间尺度上,模式集合的空间分布趋势与观测值大致相同,说明采用的模式集合结果用于预估未来长江流域降水的时空分布特征和演变规律是可行的。     

集合经验模态分解在长江中下游梅雨变化多尺度分析中的应用

基于长江中下游流域5个梅雨监测站1961~2012年的日数据,利用集合经验模态分解（EEMD）方法,对研究期内梅雨时间序列进行多尺度的分析,探讨其在不同时间尺度上的振荡模态结构特征。结果表明：近50多年来,长江中下游梅雨变化呈现出显著的年际和年代际尺度振荡特征,在年际尺度上表现出准3 a和6 a的周期变化,而在年代际尺度上显示准13 a和24 a的周期变化;各分量方差〖JP2〗贡献率显示,年际振荡在梅雨长期变化中占据主导地位;自1961年以来,EEMD分解的梅雨长期变化趋势表现出先增加后减少的倒“U”型特征,其中1961~1985年呈上升趋势,1985~2012年呈下降趋势,尤其是在2000年之后的下降趋势最为明显。由此可以看出,EEMD能够有效地揭示梅雨长期序列在不同时间尺度上的变化规律,可用于诊断非线性、非平稳性信号变化的复杂性特征     

基于神经网络集成的单个飞行事件噪声预测模型

通过分析影响单个飞行事件噪声的各种因素,构建了BP神经网络回归预测模型,并通过自适应遗传算法优选出参与集成的个体神经网络,提出了预测单个飞行事件噪声的神经网络集成预测模型.为了有效保证差异性,设置不同隐藏神经元个数和Bagging算法来构建和训练单个网络.实验结果表明,单个飞行事件噪声的神经网络集成预测模型相对单个BP神经网络模型泛化能力更强,稳定性能更好.本文方法在测试集上误差在3dB以内的平均比率为96.9%,比单个网络高6.8%.