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首页> 外文期刊>Geochemistry: Exploration, Environment, Analysis >Modelling lake sediment geochemical distribution using principal component, indicator kriging and multifractal power-spectrum analysis: a case study from Gowganda, Ontario
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Modelling lake sediment geochemical distribution using principal component, indicator kriging and multifractal power-spectrum analysis: a case study from Gowganda, Ontario

机译：使用主成分，指示克里格法和多重分形功率谱分析对湖泊沉积物地球化学分布进行建模：来自安大略省Gowganda的案例研究

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摘要

Combined geostatistical and multifractal power-spectrum modelling of geochemical distributions can provide suitable indicators of metal dispersion, and is capable of analysing complex problems for targeting potential areas for mineral exploration. A case study analysing lake sediment geochemical data for the Gowganda area is presented and development of the methodology for spatial analysis of the data is described. The Gowganda-Cobalt area of northeastern Ontario is a textbook example of Co, Ag-Co vein-type deposit, which by 1984 had yielded one-half billion ounces of Ag. The area is also known for shear-zone-hosted Au mineralization. This paper uses the spatial and geometric distribution of lake sediment data to discriminate geochemical anomalies from background values. The application of two geostatistical techniques (spatial principal component analysis and indicator kriging) allows the estimation of geochemical distributions by utilizing their statistical and spatial properties. The newly developed multifractal power-spectrum method additionally allows for the geochemical distributions to be modelled by their multifractal Fourier-transformed power-spectrum characteristics. Verification of the estimates produced by these techniques has been enabled through spatial analysis of bedrock geology and mineral deposit occurrences in the area.
机译：地球化学分布的联合地统计学和多分形功率谱建模 可以提供合适的金属分散指标 ，并且能够分析复杂的问题矿产勘探区。进行了案例分析，研究了戈贡达地区的湖泊沉积物地球化学数据，并描述了该数据空间分析方法的发展。安大略省东北部的Gowganda-Cobalt区域 是Co，Ag-Co静脉型 沉积物的教科书示例，到1984年，该矿床生产了25亿盎司的 > Ag。该地区还以剪切带为主的金矿化而闻名。 本文利用湖泊 沉积数据的空间和几何分布来区分地球化学异常与背景 < / sup>值。两种地质统计学技术（空间 主成分分析和指标克里金法）的应用允许通过利用其统计 和空间特性对地球化学分布进行 估计。新开发的多重分形功率谱 方法还允许通过其多重分形傅里叶变换功率谱 特征对地球化学分布 进行建模。通过对该地区基岩 地质和矿床发生的空间分析，可以验证这些 技术产生的估计值。

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  • 来源
    《Geochemistry: Exploration, Environment, Analysis》 |2004年第1期|00000059-00000070|共12页
  • 作者

    Alireza Panahi; Qiuming Cheng; Graeme F. Bonham-Carter;

  • 作者单位

    Department of Earth and Atmospheric Science, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada (e-mail: apanahi@yorku.ca);

    Department of Earth and Atmospheric Science, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada (e-mail: apanahi@yorku.ca)|Department of Geography, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada (e-mail:qiuming@yorku.ca);

    Geological Survey of Canada, 615 Booth Street, Ottawa, Ontario, K1A 0E9, Canada (e-mail:gbonhamc@NRCan.gc.ca);

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    multifractal; geostatistics; anomaly; lake sediment; Abitibi; spatial analysis;

    机译：分形地统计学异常湖泊沉积物阿比提比空间分析;

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