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首页> 外文期刊>Geochemistry: exploration, environment, analysis >Compositional balance analysis for geochemical pattern recognition and anomaly mapping in the western Junggar region, China
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Compositional balance analysis for geochemical pattern recognition and anomaly mapping in the western Junggar region, China

机译：中国准噶尔地区地球化学模式识别与异常映射的组成平衡分析

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摘要

The western Junggar region of China is endowed with considerable resources of gold, copper and chromite. Complex geological conditions and diversity deposit types could lead to various geochemical patterns and geochemical anomalies. In this study, compositional balance analysis (CoBA) is demonstrated for recognition of geochemical patterns and mapping geochemical anomalies that are closely associated with gold/copper/chromite mineralization and particular geological units in the western Junggar region. Here, CoBA was based on hierarchical cluster analysis and sequential binary partition technique, which provides a new path for intuitively distinguishing particular relationships between groups of parts that are of interest. To recognize anomalous patterns in stream sediment geochemical data that are closely associated with mineralization, 18 geochemical elements were used to construct 17 balances by means of the CoBA method, of which four key balances were selected for further investigation. Relevant geological information (e.g. mineral deposit occurrences) provides important references for interpreting and validating the results. By comparison of geochemical patterns of the square roots of Au and Cu concentrations with that of factor scores, the results indicate that the CoBA method provides straightforward and robust interpretation of stream sediment geochemical data by suppressing background patterns and enhancing anomalous patterns in the western Junggar, China.
机译：中国西准噶尔地区赋予了相当大的金，铜和铬铁矿资源。复杂的地质条件和多样性沉积物可以导致各种地球化学模式和地球化学异常。在该研究中，证明了组成平衡分析（COBA）以识别地球化学模式和映射与黄金/铜/铬矿化和西部Junggar地区的特定地质单位密切相关的地球化学异常。这里，COBA基于分层集群分析和顺序二进制分区技术，它提供了一种用于直观地区区分感兴趣的部分组之间的特定关系的新路径。为了识别与矿化密切相关的流沉积物地球化学数据中的异常模式，使用18个地球化学元件通过COBA方法构建17平衡，其中选择了四个键余量进行进一步调查。相关地质信息（例如矿产存款发生）为解释和验证结果提供重要的参考。通过对因子分数的Au和Cu浓度的平方根的地球化学模式的比较，结果表明，COBA方法通过抑制背景图案和增强西部Junggar的异常模式，提供了对流沉积地球化学数据的直接和鲁棒的解释，中国。

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