Estimation of covariance matrix from geochemical data with observations below detection limits

Multivariate statistical analyses have been extensively applied to geochemical measurements to analyze and aid interpretation of the data. Estimation of the covariance matrix of multivariate observations is the first task in multivariate analysis. However, geochemical data for the rare elements, especially Ag, Au, and platinum-group elements, usually contain observations the below detection limits. In particular, Instrumental Neutron Activation Analysis (INAA) for the rare elements produces multilevel and possibly extremely high detection limits depending on the sample weight. Traditionally, in applying multivariate analysis to such incomplete data, the observations below detection limits are first substituted, for example, each observation below the detection limit is replaced by a certain percentage of that limit, and then the standard statistical computer packages or techniques are used to obtain the analysis of the data. If a number of samples with observations below detection limits is small, or the detection limits are relatively near zero, the results may be reasonable and most geological interpretations or conclusions are probably valid. In this paper, a new method is proposed to estimate the covariance matrix from a dataset containing observations below multilevel detection limits by using the marginal maximum likelihood estimation (MMLE) method. For each pair of variables, sayY andZ whose observations containing below detection limits, the proposed method consists of three steps: (i) for each variable separately obtaining the marginal MLE for the means and the variances, , , , and forY andZ: (ii) defining new variables by and and lettingA=C+D andB=C–D, and obtaining MLE for variances, and forA andB; (iii) estimating the correlation coefficient _YZ by and the covariance _YZ by . The procedure is illustrated by using a precious metal geochemical data set from the Fox River Sill, Manitoba, Canada.     

Global climatic change – the latest scientific understanding

IPCCs statement in its 1995 report (IPCC 1996) that a human influence was discernible in global climate has been widely quoted but often misunderstood. The character of the evidence underpinning this detection statement is explained so that its strengths and weaknesses can be better understood and the subtleties of its message better appreciated. To demonstrate the close linkage between the government-approved summary and the underlying chapters of the IPCC report the detailed evolution of the detection statement from first draft through to the form finally approved by the IPCC is described.     

Environmental aspects of selected trace metals in soils and waters surrounding Singaran Nala, Raniganj Coalfield

The Raniganj Coalfield is the oldest coalfield in India that has been continuously and extensively mined since the late eighteenth century. The present study reports a geochemical investigation and environmental quality assessment using soil and water in the area surrounding a stream, locally known as Singaran Nala （Nala means storm water drains in Bengali）, in the Raniganj Coalfield. Soil （top soil, mud, silty clay and laterite） and rock samples （sandstone and shale） were collected from the study area and were analyzed for trace metals （Cr, Cu, Fe, Mn, Ni and Zn）. Surface waters from the stream and the Damodar River as well as ground waters from hand pumps and underground mine pits were collected. Water samples were analyzed for major ions （Na^＋, Ca^2＋, Mg^2＋, Cl^-, HNO3^- and SO4^2-） and trace metals （Cu, Fe, Mn, Ni, and Zn）. Trace metal concentrations in soil samples are found higher than the average world soil composition. Nevertheless, trace metal （Cr, Cu, Ni and Zn） concentrations in soils exceed or reach the maximum allowable concentrations （MAC） proposed by the European Commission for agricultural soils. In particular, Ni concentrations exceed the typical value for cultivated soils. Chromium, Cu and Ni concentrations in laterite and Cr concentration in topsoil exceed the ecotoxicological limit.     

Permeability of Hydraulic Fills and Barricade Bricks

Permeability is one of the most important parameters in the design of hydraulic backfilling of mine stopes. A simple and reproducible method was developed for preparing reconstituted hydraulic fill sample in the laboratory, that is representative of the hydraulic fill in the mine stope, replicating the slurry sedimentation process taking place in the mine. Constant head and falling head permeability tests were carried out on the samples, giving consistent results. A brick permeameter was developed to study the flow characteristics of the porous barricade bricks under one-dimensional flow, simulating the flow conditions in the mine. Three different methods were used to determine the permeability of the brick and the results showed very good agreement. This is the first rational attempt to measure the permeability of the porous barricade bricks that are used to close the horizontal access drives in the mines, thus retaining the hydraulic fill. The measurements show that the permeability of the barricade brick is about two to three orders of magnitude greater than that of the hydraulic fill.     

江苏省矿山的主要生态环境问题及治理对策

江苏的经济发展较快,对矿产资源的需求量亦大。多年来的无序开采,对生态环境造成很大的破坏和影响,出现了山体植被遭受破坏、土地被占用、环境受污染、诱发地面沉降、地面塌陷等一系列问题,已影响到国民经济的发展。随着省人大和省政府关于限制开山采石和保护环境等政策、法规出台和落实,近几年乱采滥挖现象基本得到了有效的遏制。人们的环保意识得到了加强,不少矿山已逐步开始对环境治理,且初见成效。文章介绍了江苏生态环境现状、存在的主要问题和治理对策,以期引起各级政府和广大民众在对矿产资源开采的同时更要注重环境保护。     

龙永煤田危机矿山资源接替的几种勘探模式

通过龙永煤田现有煤矿状况调查分析发现：许多矿井已步入“花甲之年”，接近矿井服务年限。为了保障我省能源安全，应当采用有效勘探方法，方能使它们“返老还童”。研究发现危机矿山延长服务年限的几种勘探模式是：其一为扩大（延伸）勘探模式；其二为小型井田（块段）勘探模式；其三为资料分析研究模式。经探采对比发现，采用这三种勘探模式后，产生了巨大的经济效益，使一大批老矿井青春再度焕发。     

吾祠煤矿区构造特征及矿井生产布局探讨

通过对漳平市吾祠煤矿区的煤层地质构造特征分析，探讨了复杂构造条件下的矿井生产布局，主要是煤矿区段水平划分、煤炭采区的巷道布置、采煤方法及有关地质硐探等问题，对矿山开发有一定的指导意义。     

探测地雷技术研究综述

高敏感度、高可靠度、低花费传感器是全自动或半自动探雷机器人的首要和绝对的选择。当前,有许多技术能够被选来综合使用以满足上述的要求。金属探测器是一种传统的、成熟可靠的探测技术。但是,现在多种地雷含有少量的金属或者不包含任何金属,造成了用金属探测器探雷的困难。目前迫切需要研究发展新颖的探测技术以消除100万颗地雷对许多国家的影响。     

多时相组合分类法在土地利用动态监测中的应用

介绍了土地利用遥感动态监测的基本概念，简述了遥感土地利用变化信息提取等遥感监测方法．重点探讨了多时相组合分类方法的相关技术。对广西2002年和2003年两个时相的MODIS数据．采用多时相直接分类法对土地利用变化状况进行了遥感动态监测。对不同方式波段组合的试验表明。经过差值、比值处理的波段组合具有较差的试验效果(总体精度只有30％～40％)，而经过PCA变换的波段组合则具有相对较好的试验效果(总体精度超过70％)。