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。
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 Decomposi- tion （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 delin- eated and the spatial extension of several major faults is showed. These two methods are effective for gravity data processing.
出处
《地震研究》
CSCD
北大核心
2009年第3期299-305,共7页
Journal of Seismological Research
基金
国家和省重大科学工程项目"昆明市活断层探测和地震危险性评价"(1-4-25)资助
关键词
重力场
小波多尺度分解
奇异值分解
昆明地区
gravity field, wavelet multi-scale analysis, singular-value decomposition, Kunming area
