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甲玛-驱龙矿集区地球化学异常识别方法研究

Research on geochemical anomalies identify in Jiama-Qulong ore field

中文摘要英文摘要

地球化学异常是勘查地球化学研究的关键,为了描绘地球化学异常,需要充分考虑地球化学数据的统计特征和空间特征。能谱密度-面积(S-A)多重分形模型能够有效分解复杂地球化学异常模式,处理地球化学数据中的复杂非线性关系。本文采用S-A模型与汇水盆地分析,开展甲玛-驱龙矿集区地球化学异常识别与资源潜力评价研究。采用S-A模型进行地球化学异常与背景的分解,通过聚类分析提取反映成矿相关的元素组合,结合汇水盆地进一步圈定区域异常,确定异常空间分布形态,锁定异常空间来源。结果表明,多种方法提取的单元素异常以及综合异常均在甲玛矿床和驱龙矿床有明显的指示,尤其是甲玛矿床不仅有中低温元素异常,同时也有中高温元素异常,非常值得进一步开展研究工作。

Geochemical anomalies are the key to exploration of geochemical research. To describe geochemical anomalies, the statistical and spatial characteristics of geochemical data need to be fully considered.The Spectrum-Area (S-A) fractal model can effectively decompose complex geochemical anomaly patterns and handle complex nonlinear relationships in geochemical data.This paper use S-A model and catchment basin to identify geochemical anomalies and assess resource potential in Jiama-Qulong ore field.The S-A model is used to discriminate the geochemical anomalies from the background, and combinations of elements reflecting the metallogenic correlation are extracted by cluster analysis. On the previous basis, combining with the catchment basin to further define the regional anomaly. Determine the anomalous spatial distribution pattern and lock in the source of the anomalous space.The results indicate that the single element, element combination and comprehensive abnormality extracted by various methods are clearly indicated in Jiama and Qulong deposits.In particular, the Jiama deposit not only has anomalies of medium and low temperature elements, but also anomalies of medium and high temperature elements, which is worthy of further research.

李程、孔韫辉、王璐、柳炳利

地质学矿业工程理论与方法论矿产资源综合利用

S-A多重分形模型汇水盆地地球化学异常驱龙-甲玛矿集区

spectrum-area fractal modelcatchment basingeochemiacl anomalyJiama-Qulong ore field

李程,孔韫辉,王璐,柳炳利.甲玛-驱龙矿集区地球化学异常识别方法研究[EB/OL].(2022-05-13)[2025-08-06].http://www.paper.edu.cn/releasepaper/content/202205-80.点此复制

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