甲瑪-驅龍礦集區地球化學異常識別方法研究
首發時間:2022-05-13
摘要:地球化學異常是勘查地球化學研究的關鍵,為了描繪地球化學異常,需要充分考慮地球化學數據的統計特征和空間特征。能譜密度-面積(S-A)多重分形模型能夠有效分解復雜地球化學異常模式,處理地球化學數據中的復雜非線性關系。本文采用S-A模型與匯水盆地分析,開展甲瑪-驅龍礦集區地球化學異常識別與資源潛力評價研究。采用S-A模型進行地球化學異常與背景的分解,通過聚類分析提取反映成礦相關的元素組合,結合匯水盆地進一步圈定區域異常,確定異??臻g分布形態,鎖定異??臻g來源。結果表明,多種方法提取的單元素異常以及綜合異常均在甲瑪礦床和驅龍礦床有明顯的指示,尤其是甲瑪礦床不僅有中低溫元素異常,同時也有中高溫元素異常,非常值得進一步開展研究工作。
關鍵詞: S-A多重分形模型 匯水盆地 地球化學異常 驅龍-甲瑪礦集區
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Research on geochemical anomalies identify in Jiama-Qulong ore field
Abstract: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.
Keywords: spectrum-area fractal model catchment basin geochemiacl anomaly Jiama-Qulong ore field
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甲瑪-驅龍礦集區地球化學異常識別方法研究
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