重庆城口高燕锰矿床矿物解离度与工艺粒度研究

随着当前矿产资源日趋贫、细、杂,合理利用低品位和复杂多金属矿石是目前选矿工作的重要问题（吴荣庆, 2008）,只有通过对矿物原料或产物中元素或矿物的状态和性质的系统研究,阐明其行为规律,指导和配合矿物加工研究和生产,才能有针对性地选择选矿方法和工艺流程（贾木欣, 2007）,实现对矿物资源的综合利用（吕宪俊,2001）。而矿物工艺粒度、解离度对选矿发挥着不可缺少的重要作用。矿物解离是选矿的必要条件之一,矿物工艺粒度、磨矿粒度等因素对矿物解离度都有影响,这些因素致使解离度和工艺粒度之间关系复杂化（洪秉信,傅文章., 2012）。本文通过对重庆城口高燕锰矿床矿物解离度与工艺粒度的研究,从而探讨解离度与工艺粒度对选矿加工的影响。     

辽宁地区不同降水云系雨滴谱参数及其特征量研究

利用位于辽宁省沈阳市和辽阳市的Parsivel（Particle Size and Velocity）激光雨滴谱仪观测到的雨滴谱资料按照积雨云降水系统、积层混合云降水系统和层状云降水系统分析雨滴谱特征量和谱参数的平均特征及随时间的演变特征。结果表明:Gamma分布拟合谱参数N₀和λ按照层状云、积层混合云和积雨云的顺序减小,谱参数μ按照层状云、积层混合云和积雨云的顺序增大;直径小于1 mm的降水粒子对数浓度的贡献最大,直径大于1 mm的降水粒子对雷达反射率的贡献最大;M-P分布的谱参数N₀与雨强I具有幂函数关系,并且随着雨强I的增大而增大,谱参数λ与雨强I具有指数函数关系,随着雨强I的增大而减小。     

南京周家山下蜀黄土石英颗粒特征及其物源意义

下蜀黄土的成因和物源一直是学术界研究的热点。对南京周家山下蜀黄土的石英粒度和石英表面微结构进行分析,结果显示:粉砂粒级石英颗粒（5~50 μm）占绝对优势;<20 μm组分平均含量为42.76%,<30 μm组分平均含量为62.98%;粒度分布曲线和累积曲线总体具有颗粒偏细,呈正偏态,分选较差,峰形尖锐,双峰曲线不对称的特征;粒级-标准偏差曲线呈“双峰”分布,两个明显的标准偏差峰值分别出现在7.962 1 μm和39.905 2 μm。石英颗粒表面形态主要以次棱角状为主;表面机械结构具有丰富的蝶形坑、曲脊、贝壳状断口,部分表面出现平行节理面、V形坑;不同粒级组分表面形态和机械结构特征存在差异。分析表明,南京周家山下蜀黄土属典型风成成因堆积物,是多源区物质高度混合搬运堆积的结果。     

原地栖息真菌Talaromyces flavus作用下不同粒径利蛇纹石的风化作用研究

主要研究了原地栖息真菌Talaromyces flavus作用下不同粒径的蛇纹石矿物粉末的风化作用。蛇纹石矿物粉末被筛分为不同粒度的4组(150~300、100~150、75~100和45~75μm)后进行真菌溶蚀实验,并使用p H计、ICP-OES、FTIR、XRD、SEM对反应产物进行了分析。结果表明,真菌作用显著加快了蛇纹石矿物的溶蚀,当蛇纹石矿物粒度降低到100μm左右时,Mg的溶出率从21.56%明显增加到35.91%。该现象可能与矿物比表面积的增大以及生物物理作用的增强有关。在此基础上粒径进一步减小并未使Mg溶出率明显提高,因此该粒径可以作为真菌对蛇纹石溶解工业化应用的最优粒径。扫描电镜观察与矿物相分析表明,反应过程中真菌分化产生的菌丝与矿物紧密接触,破坏了矿物的晶体结构,导致矿物相的改变。该研究结果可为相关菌种在浸矿等工业领域上的应用提供参考依据。     

内蒙古达来诺尔湖湖泊沉积物中敏感粒度组分沉积环境及地层分析

对达来诺尔湖北岸岸边(DL-0)、湖中心(DL-1)和湖南岸(DL-2)3个点的岩心沉积物进行了详细的岩性分析、粒度分析和粒度参数垂向分布序列分析。对沉积环境变化较为敏感的粒度组分的分析发现DL-0与DL-1和DL-2井岩心沉积物敏感粒度组分的峰值有较大差别,其粒度分布范围相差较大,表明湖北岸岸边、湖中心和湖南岸的沉积物来源和沉积环境的时空差异。敏感粒度组分含量随深度变化的初步分析表明,湖北岸岸边(DL-0)和湖中心(DL-1)两个点的沉积环境较为稳定;而位于湖南岸(DL-2)点的沉积环境变化比较大,包含了5个明显的沉积波动旋回,并对达来诺尔湖由北至南进行了沉积地层分析。在达来诺尔湖水下1.5m内主要是粒径0~200μm的颗粒,岩性为粘土、粉砂和砂,以粘土和粉砂为主,随着深度的增加,黏土含量增大,粉砂和砂含量减小。     

长江河口北槽河道悬沙絮团特性及其影响因素研究

利用多种先进室内外测量仪器进行河口现场观测和室内电镜扫描获得相关资料,对长江河口北槽河道细颗粒泥沙絮凝的水沙环境、絮团的微观形态结构、絮团的粒径组成及其主要影响因素进行了综合分析和讨论。结果表明,北槽河道具有非常适宜细颗粒泥沙絮凝的潮流、盐度、含沙量和悬沙颗粒粒径等基本环境条件。北槽河道悬沙絮团形态多样,主要包括松散状絮团、蜂窝状絮团和密实状絮团。絮团主要由细粉砂和黏土类细颗粒泥沙组成,表面多粗糙不平,结构或密或疏。絮团粒径变化与潮周期动力过程密切相关,具有周期性变化特征。涨、落憩时絮团粒径较大,涨、落急时絮团粒径较小。絮团粒径涨憩大于落憩,小潮大于大潮。垂向上,絮团粒径由表层至底层逐渐增大。周期性潮流流速对北槽河道悬沙絮团粒径变化起到了控制作用。北槽细颗粒泥沙絮凝作用,是导致疏浚航道发生回淤的主要原因之一。     

末次冰盛期后黄河三角洲沉积物的磁性特征及其沉积环境

On the basis of measuring the magnetic parameters of sediment in Core YDZ1, combined with a grain size analysis and Carbon-14 dating, the magnetic properties of sediment and sedimentary environment in the Huanghe(Yellow River) Delta area after the last glacial maximum have been studied. The results show that the ferrimagnetic minerals of a pseudo single domain and multi domain particles dominate the magnetic properties of sediment in Core YDZ1. The imperfect anti ferrimagnetic minerals have more contribution on sediment in a depth of 24.0–22.1 m, and more stable-single domain and pseudo single domain particles exist. The susceptibility of anhysteretic remanent magnetization and the ratio of the susceptibility of anhysteretic remanent magnetization to saturation isothermal remanent magnetization show a decrease trend below depth of 24 m, a marked increase trend in a depth of 24.0–13.5 m, and a rapid decrease at depth of 13.5 m, then a fluctuation trend upward. The above two magnetic parameters and the ratio of the susceptibility of anhysteretic remanent magnetization to the mass susceptibility can be regarded as the proxy indicators for the content of clay(4 μm)and the fine-grained size(32 μm). The sedimentary environment after the last glacial maximum in the Huanghe Delta area has experienced the fluvial facies, the tidal flat facies, the neritic facies, the pro delta facies, the delta front facies and the floodplain facies. Thickness of the Holocene transgression layer is 10.5 m and the depth of substrate is about 24 m according to the YDZ1 core. The sedimentary dynamic has a variation trend with strongweak-strong, which has been proved by the Flemming triangular schema.     

东山乌礁湾海滩表层沉积物粒度时空变化分析

为了进一步了解海岛岬湾海岸表层沉积物粒度的时空分布特征和形成机制,作者以福建东山岛乌礁湾为典型研究区,通过秋、春、夏3个不同季节海滩表层沉积物的采集和点位测量,综合应用激光法和筛析法进行粒度测定。结果表明,东山乌礁湾海滩表层沉积物以0.16～0.50 mm之间的中、细砂为主,并含有少量的粗砂和细砾,这与区域砂质沉积背景有关;湾内从南到北剖面沉积物粒径由粗砂到细砂逐渐变细,主要受剖面地形、局地物源、季节性风浪作用和近岸往复水动力的影响。时间变化上,各取样站位表现出沉积物粒径粗、细不同程度的多种变化趋势,以秋季为参考,整体上表现为由南到北粒级的变小、增大和稳定,这与东北、南南西季风影响下的浪、潮作用以及沿岸流系格局变化下的水动力环境有关。     

青藏高原东北部降尘通量及粒度特征分析

青藏高原东北缘是柴达木沙尘暴东移的必经之道和沉降区,对青藏高原东北部降尘时空分异特征进行分析,有助于认识青藏高原区域粉尘输送的现代过程和机制。2013年12月至2015年5月分别在青海湖小泊湖(XBH)、西宁多巴(DB)、西宁青海师大科技楼顶(KJLD)设置降尘缸,进行湿法收集。对其降尘通量和粒度特征进行了时空分异特征分析,结果显示,1)西宁地区2014年降尘通量为442~542 g/m~2·a,青海湖XBH采集点指示的2014年降尘通量为415 g/m~2·a,降尘通量年际变化较大,各站点降尘通量季节变化趋势一致,降尘主要集中在冬春季,夏季降尘通量最低;2)各站点降尘粒度组成特征非常相似,以粉砂为主(4~63μm),西宁地区尘暴与非尘暴降尘粒度频率曲线呈近似正态分布,尘暴期间降尘粒径较非尘暴时段大;3)XBH、DB和KJLD 3点所有样品平均粒径分别为37μm、34μm和31μm,中值粒径分别为31μm、27μm和26μm;对比低海拔兰州尘暴粒径特征,发现降尘粒径存在一定的海拔依赖性,即粒度随海拔增高逐渐变粗。     

Why GPS makes distances bigger than they are

Global navigation satellite systems such as the Global Positioning System (GPS) is one of the most important sensors for movement analysis. GPS is widely used to record the trajectories of vehicles, animals and human beings. However, all GPS movement data are affected by both measurement and interpolation errors. In this article we show that measurement error causes a systematic bias in distances recorded with a GPS; the distance between two points recorded with a GPS is – on average – bigger than the true distance between these points. This systematic ‘overestimation of distance’ becomes relevant if the influence of interpolation error can be neglected, which in practice is the case for movement sampled at high frequencies. We provide a mathematical explanation of this phenomenon and illustrate that it functionally depends on the autocorrelation of GPS measurement error (C). We argue that C can be interpreted as a quality measure for movement data recorded with a GPS. If there is a strong autocorrelation between any two consecutive position estimates, they have very similar error. This error cancels out when average speed, distance or direction is calculated along the trajectory. Based on our theoretical findings we introduce a novel approach to determine C in real-world GPS movement data sampled at high frequencies. We apply our approach to pedestrian trajectories and car trajectories. We found that the measurement error in the data was strongly spatially and temporally autocorrelated and give a quality estimate of the data. Most importantly, our findings are not limited to GPS alone. The systematic bias and its implications are bound to occur in any movement data collected with absolute positioning if interpolation error can be neglected.