文章摘要

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Author(s):: PANG Wei-dong¹; YANG Run-hai²; ZHANG Jian-guo²; (1.Geophysical Department,Yunnan University,Kunming 650091,Yunnan,China)(2.Earthquake Administration of Yunnan Province,Kunming 650224,Yunnan,China)

Keywords:: gravity field; wavelet multi-scale analysis; singular-value decomposition; Kunming area

摘要:: 为了有效地划分出重力异常,利用小波多尺度分析和奇异值分解重建两种方法对昆明地区布格重力异常数据进行处理,实现了位场的分离。分离结果反映了不同深度和尺度地质体密度的不均匀性,从而较好地圈定了盆地,并揭示了几条主要断裂的空间延展特征。运用这两种方法对重力数据的处理都具有可行性。

Abstract:: Gravity data is the result of gravity field composition by all underground sources with different densities.In order to effectively divide the gravity anomaly,the wavelet multi-scale analysis and Singular-Value Decomposition(SVD)are applied to the decomposition of the gravity fields.Through the processing of the anomalous data of Bouguer gravity in Kunming area,we get the decomposition data.The data exposes the heterogeneity of the densities of geological bodies with different burial depths and different scales,so the basins are effectively delineated and the spatial extension of several major faults is showed.These two methods are effective for gravity data processing.