Based on the analysis of newly collected data of plate tectonics, distribution of active faults and crustal deformation, the Taiwan Region is divided into two seismic regions and six seismic belts. Then, correlation f...Based on the analysis of newly collected data of plate tectonics, distribution of active faults and crustal deformation, the Taiwan Region is divided into two seismic regions and six seismic belts. Then, correlation fractal dimensions of all the regions and belts are calculated, and the fractal characteristics of hypocenteral distribution can be quantitatively analyzed. Finally, multifractal dimensions D q and f(α) are calculated by using the earthquake catalog of the past 11 years in the Taiwan Region. This study indicates that (1) there exists a favorable corresponding relationship between spatial images of seismic activity described with correlation fractal dimension analysis and tectonic settings; (2) the temporal structure of earthquakes is not single but multifractal fractal, and the pattern of D q variation with time is a good indicator for predicting strong earthquake events.展开更多
基金the Joint Earthquake Science Foundation grant number 100070 the NationalNatural Science Foundation of Chinagrant number40272111.
文摘Based on the analysis of newly collected data of plate tectonics, distribution of active faults and crustal deformation, the Taiwan Region is divided into two seismic regions and six seismic belts. Then, correlation fractal dimensions of all the regions and belts are calculated, and the fractal characteristics of hypocenteral distribution can be quantitatively analyzed. Finally, multifractal dimensions D q and f(α) are calculated by using the earthquake catalog of the past 11 years in the Taiwan Region. This study indicates that (1) there exists a favorable corresponding relationship between spatial images of seismic activity described with correlation fractal dimension analysis and tectonic settings; (2) the temporal structure of earthquakes is not single but multifractal fractal, and the pattern of D q variation with time is a good indicator for predicting strong earthquake events.
