基于成分数据分析和能谱-面积分形模型的鄂西黄陵背斜化探异常识别

Identification of geochemical anomalies in the Huangling anticline in western Hubei based on component data analysis and spectrum-area fractal model

摘要:

鄂西黄陵背斜地区虽已发现众多矿点，但是矿床规模较小，找矿潜力不明。由于区内植被茂盛、覆盖严重，致使地质异常信息被削弱或掩盖，对进一步找矿工作造成了严重干扰。本次研究使用成分数据分析和能谱-面积（S-A）分形模型识别与金矿化相关的异常，结果表明：（1）等距对数比（ILR）变换后的主成分分析结果相比对数（Log）变换更能够反应元素的共生组合规律，第一主成分（PC1）元素组合为Au-Cu-Ag，且Au元素占有最大的载荷，与金矿密切相关，PC1元素组合异常的分布模式与矿点的分布更加吻合；（2）S-A方法抑制了黄陵背斜区域水系沉积物的背景模式，增强了异常模式；（3）根据地质特征和以往勘查工作情况，圈定了三处找矿远景区，为该地区金矿下一步勘查工作提供了重要依据。

Abstract:

Numerous mineral occurrences have been discovered in the Huangling anticline area of western Hubei, but the scale of the deposit is relatively small, with unknown prospecting potential is unknown. Due to the lush vegetation and severe coverage in the area, geological anomaly information is weakened or masked, causing serious interference to further exploration work. This study used component data analysis and spectrum-area (S-A) fractal model to identify anomalies related to gold mineralization, and the results showed that: (1) The principal component analysis results after the equidistant logarithmic ratio (ILR) transformation are more able to reflect the symbiotic combination law of elements compared to the logarithmic (Log) transformation. The first principal component (PC1) element combination is Au (Cu) Ag, and Au element occupies the largest load, closely related to gold deposits. The distribution pattern of PC1 element composition anomalies is more consistent with the distribution of ore occurrences. (2) The S-A method suppressed the background pattern of water sediments in the Huangling anticline area and enhanced the anomalous pattern. (3) Based on geological characteristics and previous exploration work, three prospecting prospects have been delineated, providing important basis for the next exploration of gold deposits in the region.