Research on the Source Parameters and Correlation Coefficients of Focal Mechanisms for the Yingjiang Earthquake Sequences in 2008

The source parameters of the Yingjiang earthquake sequences in 2008 are obtained by applying spectral analysis and Brunes source model,based on the digital waveform data recorded by the Yunnan Digital Seismic Network.The correlation coefficients are calculated using the low-frequency spectral amplitudes of 2 events recorded by a same station,then,events with similar focal mechanism are grouped using the clustering analysis method.Compared to the obtained focal mechanisms,it is found that there are good correlations with the azimuth of P axes in each clustering group,and the larger the correlation coefficient,the closer the azimuths of P axes.We divide the Yingjiang area into 3 regions to analyze the stress level and stress direction by combining the source parameters and the mean focal mechanism of each group.The results show:The change and transformation of the focal mechanism types at different stages can represent the temporal characteristics of the regional stress field.If the earthquake focal mechanism types are concentrated in a time period and switch to the direction of regional stress field,it may be a sign of strong earthquake.There is some relationship between the stress drop and the type of focal mechanism.Those earthquakes with stress fields revealed by focal mechanism types closer to the regional tectonic stress field will have higher stress drop,while those with the focal mechanism-revealed stress fields differing a lot from the regional tectonic stress field will generally have a lower stress drop.

Poisson-Fokker-Planck model for biomolecules translocation through nanopore driven by electroosmotic flow

A non-continuous electroosmotic flow model(PFP model)is built based on Poisson equation,Fokker-Planck equation and Navier-Stokse equation,and used to predict the DNA molecule translocation through nanopore.PFP model discards the continuum assumption of ion translocation and considers ions as discrete particles.In addition,this model includes the contributions of Coulomb electrostatic potential between ions,Brownian motion of ions and viscous friction to ion transportation.No ionic diffusion coefficient and other phenomenological parameters are needed in the PFP model.It is worth noting that the PFP model can describe non-equilibrium electroosmotic transportation of ions in a channel of a size comparable with the mean free path of ion.A modified clustering method is proposed for the numerical solution of PFP model,and ion current translocation through nanopore with a radius of 1 nm is simulated using the modified clustering method.The external electric field,wall charge density of nanopore,surface charge density of DNA,as well as ion average number density,influence the electroosmotic velocity profile of electrolyte solution,the velocity of DNA translocation through nanopore and ion current blockade.Results show that the ion average number density of electrolyte and surface charge density of nanopore have a significant effect on the translocation velocity of DNA and the ion current blockade.The translocation velocity of DNA is proportional to the surface charge density of nanopore,and is inversely proportional to ion average number density of electrolyte solution.Thus,the translocation velocity of DNAs can be controlled to improve the accuracy of sequencing by adjusting the external electric field,ion average number density of electrolyte and surface charge density of nanopore.Ion current decreases when the ion average number density is larger than the critical value and increases when the ion average number density is lower than the critical value.Our numerical simulation shows that the translocation velocity of DNA given by the PFP model agrees with the experimental,results better than that given by PNP model or PB model.