Application of the multi-scale wavelet analytical method: A case study of the Beiya iron-gold mining district in Yunnan
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摘要: 通过模型磁异常分解,结合功率谱分析及异常振幅计算场源深度并判断场源分布平面位置,表明小波多尺度分析在位场分离中的有效性。将该方法应用于北衙铁金矿区磁异常分析解释,通过功率谱分析估算了各阶细节及四阶逼近的场源深度,结合不同深度异常振幅推断了磁源空间展布关系特征。分析表明,区内北部和西部强磁异常主要由矿体引起,且矿体在中深部产状发生改变;而东部大范围磁异常区主要为二叠系玄武岩所致。Abstract: The calculation of the depths of field sources and the determination of the planar distribution of field sources based on the model for the decomposition of magnetic anomalies, power spectrum analysis and abnormal amplitudes indicate the effectiveness of multi-scale wavelet analytical method on potential field separation. In this paper, the method is applied to analyze and interpret the magnetic anomalies in the Beiya iron-gold mining district, Heqing, Yunnan. The emphasis is placed on the calculation of the depths of field sources of each order details and 4th-order approximation on the basis of power spectrum analysis, and the determination of spatial distribution of magnetic sources inferred from the abnormal amplitudes at varying depths. The results in this study show that the orebodies are responsible for highly magnetic anomalies in the northern and western parts of the Beiya iron-gold mining district, and display the modification in occurrence at the medium-deep parts of it. The wide ranges of magnetic anomalies in the eastern part of it are caused by the Permian basalts. The results outlined above may inspire some new approaches to the further deep-seated exploration and development in the study area.
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