Experimental study on reduction of U (Ⅵ) by an anaerobic bacterium, Shewanella putrefaciens: Application to sandstone-hosted interlayer oxidation-zone type uranium deposits, China

An experimental study on reduction of U (Ⅵ) by anaerobic bacteria, Shewane//a putrefaciens, is first reported here in China. The experimental conditions were: 35℃ and pH =7.0-7.4, corresponding to a physicochemical environments in which the sandstone-hosted interlayer oxidation-zone type uranium deposit formed in Northwest China's Xinjiang. Bacteria adopted in the present experiment, Shewanella putrefaciens, occur extensively in natural environment. Our study shows that nano-crystal precipitates of uraninite quickly occurred on the surface of the cells within one week. It was found that the pitchblende was characterized by a random arrangement of uraninite nanocrystals (2-4 nm) in it, significantly different from natural pitchblende in which uraninite nanocrystals are arranged in order. Finally, a possible mechanism of uranium biomineralization by microorganisms in the deposits is discussed. Our investigation may supply a technical train of thoughts for bioremediation of nuclear-contaminated water environments and for underground dissolving extraction of the sandstone-hosted uranium ores.     

Delayed geochemical hazard: Concept, digital model and case study

Delayed Geochemical Hazard (DGH briefly) presents the whole process of a kind of serious ecological and environmental hazard caused by sudden reactivation and sharp release of long-term accumulated pollutant from stable species to active ones in soil or sediment system due to the change of physical-chemical conditions (such as temperature, pH, Eh, moisture, the concentrations of organic matters, etc.) or the decrease of environment capacity. The characteristics of DGH are discussed. The process of a typical DGH can be expressed as a nonlinear polynomial. The points where the derivative functions of the first and second orders of the polynomial reach zero, minimum and maximum are keys for risk assessment and harzard pridication.The process and mechanism of the hazard is due to the transform of pollutant among different species principally. The concepts of "total releasable content of pollutant", TRCP, and "total concentration of active specie", TCAS, are necessarily defined to describe the mechanism of DGH. The possibility of the temporal and spatial propagation is discussed. Case study shows that there exists a transform mechanism of "gradual release" and "chain reaction" among the species of the exchangeable and the bounds to carbonate, iron and manganese oxides and organic matter, thus causing the delayed geochemical hazard.     

个旧锡矿区域地壳演化与成矿探讨

个旧锡多金属矿床是驰名中外的特大型矿床，过去认为是燕山晚期“花岗岩岩浆期后气液矿床”。但通过探讨区域上前震旦纪地壳演化、震旦纪-早古生代地壳演化、泥盆纪-三叠纪地壳演化以及侏罗纪-第四纪地壳演化，以及与成矿之间的关系，发现个旧矿区至少经历了印支中晚期海底基性火山-沉积成矿、印支中晚期海底喷流热水沉积成矿、燕山晚期花岗岩叠加改造成矿以及喜山期陆相表生沉积成矿作用，厘定了个旧锡矿区的印支中晚期海底基性火山．沉积Sn-Cu-Zn(Au)矿床系列、印支中晚期海底喷流-沉积Sn-Cu-Pb-Zn矿床系列、燕山晚期花岗岩叠加改造Sn-Cu-W-Be-Bi-Pb-Zn-Ag矿床系列、喜山期陆相表生沉积砂矿矿床系列等4大矿床系列及12种矿床类型。     

东秦岭上宫金矿流体成矿作用:矿物学研究

通过对上宫金矿矿物学资料的研究，确定其成矿过程具有3阶段演化特征。早阶段以粗粒乳白色石英脉为标志，矿物破碎、变形明显，金和杂质成分含量低，形成于挤压构造背景下静岩压力的变质流体。中阶段发育细粒多金属硫化物-碲化物-自然元素组合，呈微细网脉浸染于共轭节理或裂隙，没有遭受变形，金和杂质成分含量高，自然金与其他矿物属共沉淀关系，由变质流体沸腾导致，而流体沸腾则由造山过程的地壳快速隆升剥蚀引起。晚阶段发育具梳状构造的石英-碳酸盐网脉，含金性较低，由静水压力的大气降水热液在伸展构造背景下贯入张性裂隙形成。矿床地质地球化学特征与造山型金矿一致，成矿过程同步于陆陆碰撞造山作用，属于典型的断控脉状造山型金矿，成因适合于CMF模式。     

新疆东准库布苏金矿床石英矿物标型特征及找矿评价意义

新疆东准库布苏金矿床石英矿物标型特征及找矿评价意义张旺生高怀忠吕瑞英（中国地质大学,武汉４３００７４）关键词石英标型特征找矿评价东准噶尔新疆１金矿成矿阶段石英的一般特征库布苏金矿位于新疆东准噶尔野马泉南约１６ｋｍ,矿区所属构造单元为西伯利亚板块准噶...     

云南会泽超大型铅锌矿床成因研究中的几个问题

位于川-滇-黔铅锌多金属成矿域中南部云南会泽超大型铅锌矿床可能是一种新的铅锌矿床类型，该类铅锌矿床明显特征是规模大、品位富、伴生有用元素多，暗示其成矿环境较为特殊。从成矿时代、成矿物质来源、成矿流体来源与演化，以及峨眉山玄武岩与成矿的关系等方面分析了会泽超大型铅锌矿床的研究进展及国内外研究现状，认为矿床成矿时代与西南大面积峨眉山玄武岩成矿时代相近，成矿物质和成矿流体具有“多源性”，成矿流体存在均一化过程，区域大规模流体运移在该区铅锌成矿过程中具有重要意义，峨眉山玄武岩岩浆活动与铅锌成矿具有密切的成因联系，矿床可能为“均一化成矿流体贯入成矿”的产物。     

湘西南采金“信”的地质解释

在湘西南民间开采脉金的活动中,人们积累了很多识别金富集的标志,简称“信”。本文收集列举了25种“信”,并相应地作了地质解释,评估了含金情况。从金的地球化学特性,论述了“信”与金富集的内在联系。     

Risk Management for Petroleum Reservoir Production: A Simulation-Based Study of Prediction

We consider numerical solutions of the Darcy and Buckley–Leverett equations for flow in porous media. These solutions depend on a realization of a random field that describes the reservoir permeability. The main content of this paper is to formulate and analyze a probability model for the numerical coarse grid solution error. We explore the extent to which the coarse grid oil production rate is sufficient to predict future oil production rates. We find that very early oil production data is sufficient to reduce the prediction error in oil production by about 30%, relative to the prior probability prediction.     

Sedimentological constraints on hydrometeor-enhanced particle deposition: 1992 Eruptions of Crater Peak, Alaska

Water is a dominant component of volcanic clouds and has fundamental control on very fine particle deposition. Particle size characteristics of distal tephra-fall (100s km from source volcano) have a higher proportion of very fine particles compared to predictions based on single particle settling rates. In this study, sedimentological analyses of fallout from for the 18 August and 16–17 September 1992 eruptions of Crater Peak, Alaska, are combined with satellite observations, and cloud trajectory and microphysics modeling to investigate meteorological influences on particle sedimentation. Total grain size distributions of tephra fallout were reconstructed for both Crater Peak eruptions and indicate a predominance of fine particles < 125 μm. Polymodal analysis of the deposits has identified a particle subpopulation with mode ~ 15–18 μm involved in particle aggregation. Accounting for the magmatic water source only, calculated ice water content of the 3.7 hour old September 1992 Spurr cloud was ~ 4.5 × 10^− 2 g m^− 3 (based on an estimated cloud thickness of ~ 1000 m from trajectory modeling). Hydrometeor formation on particles in the volcanic cloud and subsequent sublimation may induce a cloud base instability that leads to rapid bulk (en masse) sedimentation of very fine particles through a mammatus-like mechanism.     

Multidimensional statistical technique for detection of low contrast geochemical anomalies

In this article we propose an advanced technique for detecting low contrast geochemical anomalies using a set of features. There are three principal elements in this technique: (1) a statistical measure of the contrast of the anomaly, denoted as τ; (2) selection of a background population; and (3) reduction of the dimensionality of the feature space. In the frame of the model, which describes the statistical distribution of geochemical background as a multidimensional normal distribution of logarithms of concentrations, the index, τ, is a powerful test statistic for the hypothesis of abnormality of an observation. Maps of τ anomalies can be rigorously interpreted on the basis of statistical inferences. Under all equal conditions this technique allows the detection of geochemical anomalies with at least the same contrast (if the chemical elements in a background population are correlated, then even the better) as using selective extractions of metals from soil or other techniques for data processing. The advantages of the proposed technique are demonstrated both theoretically and on examples of rare-metal and copper–nickel mineral deposits.