金属基复合材料及其超塑性技术的发展

颗粒或晶须增强铝基复合材料具有优良的性能。目前其制备工艺主要采用粉末冶金法和挤压铸造法。这类铝基复合材料已经有许多应用实例。铝基复合材料超塑性是近年来开发的新技术,可解决其成形性差的加工难题,扩大其应用领域。     

水淬渣人工湿地强化除磷作用研究

研究了水淬渣的磷吸附-解吸效果,构建了以水淬渣为主要基质的模拟垂直流人工湿地系统,分析了水力停留时间(HRT)和污染负荷变化对污水中磷去除的影响,探讨了湿地上行、下行流单元各层基质的除磷贡献.结果表明,水淬渣基质的磷饱和吸附量为3 333 mg.kg-1,其水溶性钙含量为0.084%,pH值为7.54,适合作为湿地除磷基质.HRT与磷除去率呈正相关,当HRT从1 d缩短为0.5 d时,TP去除率降低5.9%~4.7%,当HRT从2 d缩短为1 d时,TP去除率降低2.4%~4.7%,HRT为1 d条件下,水淬渣湿地的磷去除率>85%,说明无限延长HRT无益于强化除磷,适宜的HRT为1 d.在进水浓度稳定的条件下,进水污染负荷与磷去除率呈负相关,当污染负荷范围在12.2~36.8 g.(m2.d)-1时,水淬渣湿地的磷除去率可维持在85%,当污染负荷达到48.9 g.(m2.d)-1后,水淬渣湿地的磷除去率下降至65%,当污染负荷<36.8 g.(m2.d)-1时,水淬渣湿地的磷去除率>82%,说明高污染负荷可抑制基质表面及孔隙中Ca、Al等吸附磷的活跃位点,适宜的进水污染负荷为24.5~36.8g.(m2.d...     

典型行业再利用土壤重金属含量分布、来源解析及生态风险评价

为深入探究典型行业再利用土壤重金属污染特征及生态风险状况,基于上海市嘉定区49个地块315个不同深度剖面土壤样品数据,采用地累积指数和潜在生态风险指数评估Cd、Pb、Cu、Zn、Ni、Hg和As这7种重金属含量特征和潜在生态风险程度,并利用源解析受体模型（APCS-MLR）和正定矩阵因子分解模型（PMF）解析其污染来源.结果表明：①研究区土壤中除As外,其余重金属均不同程度超过上海市土壤背景值,表层土壤中Cd、Pb、Cu、Zn、Ni和Hg含量分别是背景值的3.54、2.34、2.91、1.20、3.75和4.40倍;7种重金属含量随着土壤垂直剖面深度的增加逐渐降低,重金属在表层土壤中存在一定程度的富集,人类活动影响了重金属在土壤中的分布规律.②研究区内APCS-MLR和PMF两种受体模型均识别出土壤重金属4种主要来源,源1（Cu、Zn和Pb）为金属制品和汽车制造混合源,源2（Ni和Cd）为电镀企业来源,源3（Hg）主要为化工企业来源,源4（As）为自然源,两种受体模型结合运用,进一步提高源解析的精准度和可信度.③地累积指数由大到小表现为：Hg（1.54）>Ni（1.32）>Cd（1.21）>Cu（0.96）>Pb（0.64）>Zn（-0.33）>As（-1.02）;潜在生态风险指数结果显示,研究区综合潜在生态风险指数RI值在32.50~4 910.97,均值为321.40,整体呈现较强潜在生态风险,再开发利用工业场地土壤中重金属Hg、Ni和Cd的污染值得进一步关注.     

湿地基质及阴极面积对人工湿地型微生物燃料电池去除偶氮染料同步产电的影响

本研究采用人工湿地型微生物燃料电池处理偶氮染料X-3B,实现降解偶氮染料同步产电的效果.为了构建性能最优的人工湿地型微生物燃料电池(CW-MFC)系统,本研究主要从湿地基质和阴极面积两个方面研究系统构型对去除X-3B同步产电的影响,提高系统性能.研究表明以粒径10 mm、孔隙率30%的小石子作为湿地基质构造的CW-MFC系统微生物生物量最大,去除X-3B效果最好,脱色率高达92.70%,但其产电性能最差.较小的粒径和孔隙率使底层微生物生物量增加,促进X-3B的去除,但随着湿地基质粒径和孔隙率的减小,导致阴阳极营养物质不足,系统传质阻力增加,抑制了系统产电性能.X-3B的去除效果随着阴极面积的增加而提高直到阴极面积为594 cm~2时取得最大脱色率99.41%.当阴极面积继续增加时,CW-MFC系统产电性能上升趋势趋于平缓,X-3B去除效果呈现下降趋势,这是因为阴极反应过快导致更多的阳极电子输送到阴极用于产生电流,与X-3B发生反应的电子减少,阳极成为提高CW-MFC系统性能的限制因素.     

基于生态—经济协调发展的乡镇空间功能分区

按提供产品的类别,乡镇尺度空间由生态空间、农业空间和建设空间组成,这3部分空间共同承载着乡镇社会经济发展的重任。坚持生态保护对发展的约束与支撑功能并存的理念,建立以生态约束为前提,并与开发建设协同推进的分区指标体系、技术方法及应用模式,是生态文明战略下空间功能分区的有益探讨。以南京市六合区雄州街道为案例,借助Arc GIS空间分析工具,采用互斥性矩阵分类法,通过对生态约束、农业发展、工业发展与人居环境等建设开发适宜性的单项与综合评价的集成,构建生态、农业和建设空间布局的总体架构,实现了街镇空间功能的整合与科学定位;划分禁止建设区、限制建设区、适宜建设区和已建设区等四大类功能区,并提出各功能区的生态环境保护措施与产业发展导向,为实施区域发展与生态保护的协同推进提供了依据。     

Combined use of molecular biology taxonomy, Raman spectrometry, and ESEM imaging to study natural biofilms grown on filter materials at waterworks

DNA-based population analysis was applied in combination with Raman spectrometry and Environmental Scanning Electron Microscopy for the characterisation of natural biofilms from sand and activated carbon filters operated for a long term at a municipal waterworks. Whereas the molecular biology polymerase chain reaction combined with denaturing gradient gel electrophoresis approach provides a deeper insight into the bacterial biofilm diversities, Raman spectrometry analyses the chemical composition of the extracellular polymer substances (EPS), microorganisms embedded in EPS as well as other substances inside biofilm (inorganic compounds and humic substances). Microscopy images the spatial distribution of biofilms on the two different filter materials. In addition, bacterial bulk water populations were compared with biofilm consortia using the molecular fingerprint technique mentioned.Population analysis demonstrated the presence of more diverse bacterial species embedded in a matrix of EPS (polysaccharides, peptides, and nucleic acids) on the sand filter materials. In contrast to this, activated carbon granules were colonised by reduced numbers of bacterial species in biofilms. Besides α-, β-, and γ-Proteobacteria, a noticeable specific colonisation with Actinobacteria was found on activated carbon particles. Here, the reduced biofilm formation came along with a decreased EPS synthesis. The taxonomy profiles of the different biofilms revealed up to 60% similarity on the same filter materials and 32% similarity of different materials. Similarity of adherent communities from filter materials and bulk water populations from the filter effluent varied between 36% and 58% in sand filters and 6–40% in granular activated carbon filters.The biofilm investigation protocols are most crucial to subsequent acquisition of knowledge on biofilm dynamics and bacterial contributions to transformation or adsorption processes in waterworks facilities.     

A New Approach to Plant Diversity Assessment Combining HPLC Data, Simplex Mixture Design and Discriminant Analysis

The quantitative assessment of plant diversity and its monitoring with time represent a key environmental issue for management and conservation of natural resources. Assessment of plant diversity could be based on chemical analyses of secondary metabolites (e.g. flavonoids, terpenoids), because of the substantial quantitative and qualitative between-individual variability in such compounds. At a geographical scale, the plant populations become widely dispersed, and their monitoring from numerous routine individual analyses could become restricting. To overcome such constraint, this study develops a multivariate calibration model giving the relative frequency of a particular taxon from a simple high-performance liquid chromatography (HPLC) analysis of a plant mixture. The model was built from a complete set of mixtures combining different taxons, according to an experimental design (Scheffé’s matrix). For each mixture, a reference HPLC pattern was simulated by averaging the individual HPLC profiles of the constitutive taxons. The calibration models, based on Bayesian discriminant analysis (BDA), gave statistical relationships between the contributions of each taxon in mixtures and reference HPLC patterns of these mixtures. Finally, these models were validated on new mixtures by using outside plants. This new biodiversity survey approach is illustrated on four chemical taxons (four chemotypes) of Astragalus caprinus (Fabaceae). The more differentiated the taxon, the better predicted its contributions (in mixtures) were by BDA calibration model. This new approach could be very useful for a global routine survey of plant diversity.     

The electron density distribution in pyridinium and bipyridylium compounds and its relevance to their adsorption by expanding lattice clays

Abstract

Charge distributions in 1, 1'‐ethylene‐2, 2'‐bipyridylium (diquat), 1,1'‐dimethyl‐4,4'‐bipyridylium (paraquat) and 1‐methylpyridinium organocations were calculated by a Complete Neglect of Differential Overlap semi‐empirical quantum mechanical procedure. The data show that the positive charges in the organocations are distributed around the molecules and are greatest in the positions ortho and para to the heterocyclic nitrogen atoms. Earlier interpretations of the mechanisms of adsorption of paraquat and diquat by soils and clays assumed that the charges were located in the heterocyclic nitrogen atoms. Here some consideration is given to the influence of the charge delocalizations on the processes of adsorption by montmorillonite and vermiculite clay preparations.     

动态污水处理过程的多模型动态矩阵控制

针对活性污泥法污水处理系统的强耦合和动态变化特性,提出一种用于前置反硝化脱氮工艺的多模型动态矩阵(DMC)解耦控制方法;通过K-均值聚类分析法对外界入水中氨氮浓度进行聚类,获得以聚类中心为入水氨氮浓度的静态模型集合,分别设计线性DMC解耦控制器;再以当前时刻外界进水氨氮浓度和聚类中心为基本元素,构造切换函数,实现多模型切换。将该方法应用于活性污泥1号模型(ASM1)中,获得了较好的动态仿真效果。     

多因素耦合条件下硫化矿自燃神经网络动态预测模型研究

硫化矿石自燃是多种因素、多场耦合综合作用的结果,是一典型的非线性问题。笔者应用人工神经网络技术,以Matlab软件为平台,通过现场调查和理论分析,建立了矿石含硫量、通风强度、环境温度3因素与硫化矿石自燃之间的预测模型;通过数据样本学习与部分现场监测数据相结合进行模拟,研究表明预测数据与实测结果基本吻合,误差控制在10%以内,取得了较好的效果。该研究为预防硫化矿石自燃提供一个新的思路和方法,具有一定的理论意义和应用价值。