地质异常的奇异性度量与隐伏源致矿异常识别

以个旧锡多金属矿床为例，研究了致矿地质异常的非线性特征.从异常地质事件和成矿作用的奇异性出发，定量分析了地质异常的奇异性、不连续性、非平稳性、混沌性、自相似性、临界性等非线性特征.在此基础上，详细介绍了局部奇异性分析原理和方法，论述了奇异性指数对隐伏源异常的识别能力.结果表明，奇异性分析方法在个旧地区水系沉积物地球化学数据处理和隐伏源地球化学异常识别和圈定应用中是有效的.分析结果一定程度上消除了隐伏源深度的影响，所圈定的局部地球化学异常不仅在个旧东区较好地对应了已发现的大型锡矿床的分布，而且在其他低缓地球化学异常区也圈定了多处局部异常，为进一步开展锡矿勘查提供了重要靶区.奇异性理论和方法有望为深部矿产预测、隐伏矿预测、覆盖区矿产预测等特殊环境开展矿产预测提供了新的实用性理论和方法技术. 

Singularity Modeling of Geo-Anomalies and Recognition of Anomalies Caused by Buried Sources

This paper investigates the nonlinear properties of geo-anomalies related to mineralization. It was demonstrated that geochemical anomalies in stream sediments in Gejiu mineral district caused by Sn mineralization can be modeled by fractal and multifractal models and they depict singularity, discontinuity, chaoticality, and indifferentiality. It was also shown that the singularity calculated from 2D geochemical landscape can reflect the causes of buried sources. The concepts and methods were validated using the concentration values of trace elements Sn, Cu, As, Pb, Zn and Cd in stream sediments. The results obtained using windows-based local singularity analysis method not only provide anomalies in general agreement with the locations of known mineral deposits in the eastern Gejiu district but also new anomalies delineated in the other areas of Gejiu that provide potential target areas for further mineral exploration for undiscovered Sn mineral deposits. It is anticipated that the singularity analysis method introduced in the paper will become a new powerful tool applicable for quantitative prediction of buried mineral deposits in covered terrain.