Showing papers by "Geophysical Survey published in 2005"
TL;DR: Based on the analysis of newly collected data of plate tectonics, distribution of active faults and crustal deformation, the Taiwan area is divided into two seismic regions and six seismic belts, and correlation fractal dimensions of all the regions and belts are calculated, and the fractal characteristics of hypocenteral distribution can be quantitatively analyzed as discussed by the authors.
Abstract: Based on the analysis of newly collected data of plate tectonics, distribution of active faults and crustal deformation, the Taiwan area 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 Dq and f(α) are calculated by using the earthquake catalog of the past 11 years in the Taiwan area. 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 Dq variation with time is a good indicator for predicting strong earthquake events.
2 citations
TL;DR: In this paper, the authors developed regression equations based on Kokaly and Clark(1998) using Pushbroom Hyperspectral Imager (PHI) data which acquired at Daxin'anling area, Helongjiang Province, China.
Abstract: This paper quantified regional concentration of various metals(e. g. Pb, Cu, As, Hg, Mo) in the leaves by developed regression equations based on Kokaly and Clark(1998) using Pushbroom Hyperspectral Imager (PHI) data which acquired at Daxin'anling area, Helongjiang Province, China. The regression equations were developed and established between metal concentration and spectral absorption band-depth of vegetation branches which both were measured in the field in study area. An iterative algorithm was used to select suitable wavebands from 80 bands corresponding to PHI band center wavelengths during the regression processing, which maximize R2 and minimize Std. Except Pb, the correlation coefficient(R2) of all the other metals are up to 0.8. These regression equations were applied to PHI data in order to estimate the regional metal concentration in close vegetation cover of study area after spectral reconstruction and absorption band-depth transformation of PHI data. The distribution tendency of concentration of various metals quantified from PHI data were in good agreement with the ground geochemical distribution.
1 citations