In seismic prospecting, fi eld conditions and other factors hamper the recording of the complete seismic wavefi eld; thus, data interpolation is critical in seismic data processing. Especially, in complex conditions, ...In seismic prospecting, fi eld conditions and other factors hamper the recording of the complete seismic wavefi eld; thus, data interpolation is critical in seismic data processing. Especially, in complex conditions, prestack missing data affect the subsequent highprecision data processing workfl ow. Compressive sensing is an effective strategy for seismic data interpolation by optimally representing the complex seismic wavefi eld and using fast and accurate iterative algorithms. The seislet transform is a sparse multiscale transform well suited for representing the seismic wavefield, as it can effectively compress seismic events. Furthermore, the Bregman iterative algorithm is an efficient algorithm for sparse representation in compressive sensing. Seismic data interpolation methods can be developed by combining seismic dynamic prediction, image transform, and compressive sensing. In this study, we link seismic data interpolation and constrained optimization. We selected the OC-seislet sparse transform to represent complex wavefields and used the Bregman iteration method to solve the hybrid norm inverse problem under the compressed sensing framework. In addition, we used an H-curve method to choose the threshold parameter in the Bregman iteration method. Thus, we achieved fast and accurate reconstruction of the seismic wavefi eld. Model and fi eld data tests demonstrate that the Bregman iteration method based on the H-curve norm in the sparse transform domain can effectively reconstruct missing complex wavefi eld data.展开更多
This study investigates the motivations of Chinese domestic tourists visiting seismic memorial sites after the great Wenchuan earthquake of 2008, and examines their interpretation of experiences and benefits of the vi...This study investigates the motivations of Chinese domestic tourists visiting seismic memorial sites after the great Wenchuan earthquake of 2008, and examines their interpretation of experiences and benefits of the visits. Recent research on dark tourism has raised the possibility that people are attracted to death and memorial sites in ways different from other tourist attractions. The study used an empirical research design employing questionnaires to collect data from 255 Chinese domestic visitors at seismic memorial sites in west Sichuan. Analysis revealed that the obligation of commemoration mixed with curiosity represents a different set of travel motivation in dark tourism settings than in other kinds of tourism. In addition, the empirical evidence also suggests an interrelated pattern between motivations, experiences and benefits. This study implies that Chinese domestic tourists were attracted in ways different from other tourist attractions both because they tended to fulfill their obligation of commemoration and were interested in destruction; and visitor experiences played an important mediating role between travel motivations and benefits gained.展开更多
基金supported by the National Natural Science Foundation of China(Nos.41274119,41174080,and 41004041)the 863 Program of China(No.2012AA09A20103)
文摘In seismic prospecting, fi eld conditions and other factors hamper the recording of the complete seismic wavefi eld; thus, data interpolation is critical in seismic data processing. Especially, in complex conditions, prestack missing data affect the subsequent highprecision data processing workfl ow. Compressive sensing is an effective strategy for seismic data interpolation by optimally representing the complex seismic wavefi eld and using fast and accurate iterative algorithms. The seislet transform is a sparse multiscale transform well suited for representing the seismic wavefield, as it can effectively compress seismic events. Furthermore, the Bregman iterative algorithm is an efficient algorithm for sparse representation in compressive sensing. Seismic data interpolation methods can be developed by combining seismic dynamic prediction, image transform, and compressive sensing. In this study, we link seismic data interpolation and constrained optimization. We selected the OC-seislet sparse transform to represent complex wavefields and used the Bregman iteration method to solve the hybrid norm inverse problem under the compressed sensing framework. In addition, we used an H-curve method to choose the threshold parameter in the Bregman iteration method. Thus, we achieved fast and accurate reconstruction of the seismic wavefi eld. Model and fi eld data tests demonstrate that the Bregman iteration method based on the H-curve norm in the sparse transform domain can effectively reconstruct missing complex wavefi eld data.
基金supported by the China Scholarship Council(Liujinfa[2011]No.5024)the Key Teachers Development Fellowship Program of CDUT(KYGG201313)the Center for Folk Culture Studies(MJ13-09)
文摘This study investigates the motivations of Chinese domestic tourists visiting seismic memorial sites after the great Wenchuan earthquake of 2008, and examines their interpretation of experiences and benefits of the visits. Recent research on dark tourism has raised the possibility that people are attracted to death and memorial sites in ways different from other tourist attractions. The study used an empirical research design employing questionnaires to collect data from 255 Chinese domestic visitors at seismic memorial sites in west Sichuan. Analysis revealed that the obligation of commemoration mixed with curiosity represents a different set of travel motivation in dark tourism settings than in other kinds of tourism. In addition, the empirical evidence also suggests an interrelated pattern between motivations, experiences and benefits. This study implies that Chinese domestic tourists were attracted in ways different from other tourist attractions both because they tended to fulfill their obligation of commemoration and were interested in destruction; and visitor experiences played an important mediating role between travel motivations and benefits gained.
