粗MnSO4溶液中MnS2O6的去除条件研究

用软锰矿吸收SO2生成MnSO4时会伴随有副产物MnS2O6生成。产品中MnS2O6的存在会降低硫酸锰产品质量,同时会缓慢释放出SO2气体污染环境。本文用单因素实验方法研究了粗MnSO4溶液中MnS2O6的最优去除条件。研究结果显示,软锰矿用量为12.2 g,硫酸加入量为20 mL、反应温度100℃、反应时间3 h、搅拌速度500 r/min,MnS2O6的去除率可达91%以上。其最终产品能达到GB1622-1986一级品标准。     

不同培养条件下锰过氧化物酶(MnP)的合成及其对甲基橙的降解

高效、大规模、低成本合成木质素降解酶是直接采用其降解难降解有机污染物所必须解决的问题.对锰过氧化物酶(MnP)降解甲基橙和在非灭菌的反应器中连续合成MnP的可行性进行考察.结果表明,在采用2 mmol H2O2和1.5 mmol MnSO4的降解体系中,获最大脱色效果,且100、200和300 U/L的MnP可在8h内将甲基橙分别脱色18％、23％和35％;在非灭菌的反应器水平上实现了固定化培养的P.chrysosporium连续23 d合成MnP,但MnP酶活仅为2～ 23 U/L,难以酶解甲基橙;然而,在摇瓶培养条件下固定化的P.chrysosporium合成的MnP却能达1 152 U/L.因此,直接采用MnP对污染物进行降解以及在非灭菌的反应器中持续合成MnP是可行的,但就在非灭菌条件下如何提高MnP的合成量还有待开展深入的研究.     

中国工业化进程与能源矿产供需均衡的研究

工业化与能源需求的均衡关系及解决工业化进程中能源供需失衡的战略途径是中国工业化进程中需要探讨的重大问题.文章运用协整技术,就1990-2008年间中国工业化进程与能源需求协整关系的检验,认为中国工业化与能源需求增长具有长期稳定的均衡关系,能源需求将继续保持增长,能源利用效率也将持续提高.然而工业化进程中重工业化高能耗结构特征与能源低效利用并存的困境以及能源供需矛盾不利于能源供需平衡的平稳发展.我国应适应工业化进程的基本规律,转变能源消费方式;走新型工业化道路,适当限制低附加值产业发展,鼓励产业向离附加值、低能耗、高技术产业转移;在实现能源开发利用技术进步和创新的同时.有效利用国内外能源资源;建立能源应急机制等战略途径来实现工业化进程中能源供需平衡发展.     

不同粘土矿物材料对Pb2+的吸附特征

探讨了在不同矿物投加量、不同振荡时间、不同Pb2 浓度、不同矿物颗粒细度和不同pH条件下,钠基膨润土、膨胀蛭石和沸石3种粘土矿物对Pb2 的吸附效果.结果表明:对于具有可膨胀层间的粘土矿物而言,其对溶液中Pb2 的吸附量不仅仅由单一的阳离子交换量所决定;Pb2 在矿物表面的吸附过程是个迅速的过程,矿物对Pb2 的吸附在10 min内即可完成;粘土矿物不同颗粒细度对Pb2 的去除率有所不同,但考虑到实际应用中的成本问题,并非颗粒越细越好;就试验所采用的3种粘土矿物而言,其对Pb2 的吸附效果是,钠基膨润土和沸石明显优于膨胀蛭石;较高的pH有助于粘土矿物对溶液中Pb2 的吸附,但考虑到实际操作的其他因素,不能把pH调得过高.     

Innovation in the minerals industry: Australia in a global context

The pattern of innovation in the global minerals industry is changing as the industry becomes increasingly globalised. In this paper, we look at the structure of innovation in the industry and the drivers of change. We first consider the broad international trends and then examine these more closely with special reference to the Australian industry. Issues addressed include the apparent decline in corporate research and development spending, changing patterns in research collaboration and outsourcing, and the uptake of information and communication technologies in the industry. We also look at the potential implications of these trends for step-change technological developments and at the role of technological innovation in the future development of the industry.     

天然黏土材料附着纳米TiO2对 电解锰渣中锰的吸附固定

采用机械球磨法对膨润土、硅藻土、高岭土3种天然黏土材料进行预处理,通过超声法将纳米TiO_2附着于其上制得复合材料,考察了不同复合材料加入量及养护时间条件下复合材料对电解锰渣中Mn的吸附固定效果。3种天然黏土材料中,硅藻土的平均粒径最小,比表面积和总孔隙度最大,对水中Mn的吸附量也最大。黏土材料附着纳米TiO_2后对电解锰渣中Mn的吸附固定效果较单纯黏土材料有明显改善。在养护时间为12 d、硅藻土附着纳米Ti O_2复合材料加入量为10%(w)的最佳条件下,Mn的TCLP浸出量较原电解锰渣下降了83.04%。     

WATER QUALITY PREDICTION WITHIN AN INTERBASIN TRANSFER SYSTEM1

ABSTRACT A methodology for predicting the spatial and temporal levels of conservative water quality constituents within a multibasin water resource system is presented. Dissolved solids, sulfates, and chlorides are the constituents used during this investigation; however, any other conservative ion or mineral can be incorporated into the simulation model. The methodology is tested on the proposed Texas Water System. The water quality model, QNET-I, utilizes monthly canal and river flows and reservoir storage levels calculated by the Texas Water Development Board's systems simulation model. Discharge-concentration relationships are developed for each source of water in the system, including significant waste-water discharges. Reservoirs in the system are assumed to be completely mixed with respect to conservative constituents. A mass balance analysis is performed for each node and each month during the simulation period. The output from the water quality simulation is a table of the concentrations of the conservative water quality constituents at each demand point in the system and in each reservoir and canal for every month the system is in operation. The desired quality of the water at the demand locations is used to determine the economic utility of transporting and mixing water from various sources.     

MANGANESE IN LACUSTRINE ECOSYSTEMS: A REVIEW1

This paper serves as a literature review of manganese in fresh water. The major aspects of manganese occurrence discussed are: (1) sources, (2) geochemistry, (3) manganese-iron relationships, (4) effects on the fauna and flora and (5) detection.     

THE IMPACT OF URBANIZATION ON THE DISTRIBUTION OF HEAVY METALS IN BOTTOM SEDIMENTS OF THE SADDLE RIVER1

ABSTRACT: A three-year study has been conducted on a 4.6 mile stretch of the Saddle River near Lodi, New Jersey. The primary objectives of this investigation were (1) to provide baseline information on the concentration and distribution of heavy metals in bottom sediments of the Saddle River; (2) to qualitatively evaluate which parameters affect this distribution; and (3) to determine the effect of urbanization on the concentration and distribution of these materials. Significant enrichments of several heavy metals were observed in bottom sediments of the lower Saddle River near Lodi, New Jersey, as compared to the upper Saddle River. Attempts to correlate metal concentrations in bottom sediments with chemical-oxygen demand were not successful in demonstrating a relationship between these two factors. Metal concentrations were found to be strongly dependent upon particle size. In general, metal concentrations in bottom sediments increased with decreasing partical diameter. However, metals enrichment was observed to be considerably greater in the larger sediment fractions studied (>420μ) than the smaller sediment fractions as one proceeded downstream through the urban area. Since the larger sediment fractions are least effected by scour and transport they may best reflect the effect of urbanization on the distribution of heavy metals over an extended period of time at a given location.     

A MANGANESE OXIDATION MODEL FOR RIVERS1

ABSTRACT: The presence of manganese in natural waters (>0.05 mg/L) degrades water-supply quality. A model was devised to predict the variation of manganese concentrations in river water released from an impoundment with the distance downstream. The model is one-dimensional and was calibrated using dissolved oxygen, biochemical oxygen demand, pH, manganese, and hydraulic data collected in the Duck River, Tennessee. The results indicated that the model can predict manganese levels under various conditions. The model was then applied to the Chattahoochee River, Georgia. Discrepancies between observed and predicted may be due to inadequate pH data, precipitation of sediment particles, unsteady flow conditions in the Chattahoochee River, inaccurate rate expressions for the low pH conditions, or their combinations.