Heavy metals in freshly deposited sediments of the river Subernarekha, India: an example of lithogenic and anthropogenic effects

Heavy metal distribution patterns in river sediments aid in understanding the exogenic cycling of elements as well as in assessing the effect of anthropogenic influences. In India, the Subernarekha river flows over the Precambrian terrain of the Singhbhum craton in eastern India. The rocks are of an iron ore series and the primary rock types are schist and quartzite. One main tributary, the Kharkhai, flows through granite rocks and subsequently flows through the schist and quartzite layers. The Subernarekha flows through the East Singhbhum district, which is one of India’s industrialised areas known for ore mining, steel production, power generation, cement production and other related activities. Freshly deposited river sediments were collected upstream and downstream the industrial zone. Samples were collected from four locations and analysed in <63-μm sediment fraction for heavy metals including Zn, Pb, Cd and Cu by anodic stripping voltammetry. Enrichment of these elements over and above the local natural concentration level has been calculated and reported. Sediments of the present study are classified by Muller’s geo-accumulation index (I _geo) and vary from element to element and with climatic seasons. During pre-monsoon period the maximum I _geo value for Zn is moderately to highly polluted and for Cu and Pb is moderately polluted, respectively, based on the Muller’s standard. Anthropogenic, lithogenic or cumulative effects of both components are the main reasons for such variations in I _geo values. The basic igneous rock layer through which the river flows or a seasonal rivulet that joins with the main river may be the primary source for lithogenic components.     

Bayesian Spatial Modelling of Gamma Ray Count Data

Gamma ray logging is a method routinely employed by geophysicists and environmental engineers in site geology evaluations. Modelling of gamma ray data from individual boreholes assists in the local identification of major lithological changes; modelling these data from a network of boreholes assists with lithological mapping and spatial stratigraphic correlation. In this paper we employ Bayesian spatial partition models to analyse gamma ray data spatially. In particular, a spatial partition is defined via a Voronoi tessellation and the mean intensity is assumed constant in each cell of the partition. The number of vertices generating the tessellation as well as the locations of vertices are assumed unknown, and uncertainty about these quantities is described via a hierarchical prior distribution. We describe the advantages of the spatial partition modelling approach in the context of smoothing gamma ray count data and describe an implementation that may be extended to the fitting of a more general model than a constant mean within each cell of the partition. As an illustration of the methodology we consider a data set collected from a network of eight boreholes, which is part of a geophysical study to assist in mapping the lithology of a site. Gamma ray logs are linked with geological information from cores and the spatial analysis of log data assists with predicting the lithology at unsampled locations.     

A traveltime reciprocity discrepancy in the Podvin & Lecomte time3d finite difference algorithm

We have found that the extensively used finite difference scheme time3d produces time fields which are 'asymmetric' in the sense that traveltimes computed to the right of the source are faster than traveltimes computed to the left. All finite difference schemes will, as they are approximations to the wave equation, to some extent fail to obey reciprocity perfectly. We show, however, that the errors in time3d may be significant—and unnecessarily large. An asymmetry in the point source initialization has been identified, and after correction time3d produces time fields with an improved reciprocity.     

土壤天然热释光测量在寻找滑坡体边界中的应用研究

土壤天然热释光测量方法是一种累积型测氡方法。由于累积测氡时间长,其灵敏度和异常的重现性远比一般累积测氡及其子体方法好,因此,在地质领域得到了广泛的应用。在寻找滑坡体边界的应用中,取得的测量效果明显,表明该方法经济有效。     

西藏岗巴晚白垩世锶同位素曲线的地层学意义及问题讨论

地质历史时期古海洋中的锶同位素组成具有全球基本一致的演化规律 ,并主要受全球性海平面变化影响。根据从西藏岗巴宗山上白垩统剖面中 6 3个海相碳酸盐样品获得的锶同位素测试数据建立了锶同位素演化曲线 ,与北美同时代锶同位素曲线进行了对比 ,证明晚白垩世有一次全球性海平面升降事件 ,在宗山剖面宗山组近底部的年龄值为 89.4 Ma,并讨论了西藏岗巴宗山地区晚白垩世地层划分对比中的一些问题。     

基于PGNAA技术在线分析系统的应用

近年来,随着核探测与分析技术的日趋成熟,使复杂γ谱的获取、解析达到了在线测量的要求,从而使在线PGNAA(中子活化瞬发γ射线分析)技术获得了飞速的发展。它可对一些工业生产过程中的全物料进行在线测量,其分析精度、可靠性等皆能满足在线元素含量分析的需要,因而显示出巨大的发展潜力和广阔的市场前景。这里介绍了基于PGNAA技术的在线分析系统的基本原理、组成和发展,并概述了它在水泥、煤炭等行业的应用情况。     

航空伽马能谱地形改正新方法及应用

针对航空伽马能谱测量特点,推导了基于二维地形影响系数的航空伽马能谱测量地形逐点改正的理论公式。通过模型试验,总结了不同地形上不同飞行方式时的航空放射性异常特征,给出实测数据处理与野外异常查证对比结果,地形改正效果较好。