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《Progress in Geophysics》 2012-01
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Research on tectonic divisions and deep faults in northeast China——based on wavelet multi-scale decomposition method

WU Yong-jing,DONG Ping,WANG Liang-shu,SUN Bin,LI Chang-bo(School of Earth Sciences and Engineering,Nangjing University,Nanjing 210093,China)  
Wavelet multi-scale analysis is applied to the research on Bouguer gravity field and the explanation of tectonic structure and deep faults in northeast China.Based on Bouguer gravity anomaly,the gravity field is decomposed into four scale by multi-scale wavelet decomposition method.Extracting the second and third order details which reflect the anomalies correlated with deep faults and enhancing faults' linear features by calculating the horizontal gradient in different directions.The results indicate 12 deep faults.Meanwhile,the paper interprets the characteristics of deep faults with the power spectrum method and the information of seism distribution,focal mechanism and geology.The result shows that 12 deep faults are divided into two types.One is the suture zone between massifs.The other plays a significant role in distribution and evolution of basin groups.Deep faults system has a predominant direction in NE,NNE and most of faults are strike-slip faults.According to the characteristics of wavelet multi-scale decomposition and the deep faults system,the paper divides the Bouguer gravity in to first-order and secondary anomaly regions and describes the characteristics of their Bouguer gravity fields.Xing' an massif and Erguena massif was first separated.The first-order gravity anomaly regions contains Erguena massif,Xing'an massif,Songnen massif,Kiamusze massif,Huabei massif.The secondary anomaly regions contains Erlian basin,Greater Khingan region,Lesser Khingan region,Songliao basin,Zhangguangcai region,Nadanhada block,Sanjiang basin,Huanan-muling region,Liaotung peninsula region,Huabei massif,Fracture zone.The result depicts the framework of tectonic units in northeast China.
【Fund】: 国家科技重大专项(2009ZX05009-001);; 国家自然科学基金(41074084)联合资助
【CateGory Index】: P542
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