Bayesian inference for the lithospheric mechanical strength in the northeastern Qinghai-Tibet Plateau and its adjacent areas
This study employs a composite lithospheric flexure isostasy model,using Bouguer gravity anomalies and topographic data,to perform a joint inversion of gravity admittance and coherence functions.Using Bayesian statistical inference,the optimal lithospheric flexure parameter model was determined,allowing for the characterization of the spatial distribution and uncertainty estimation of the effective elastic thickness(Te)and load ratio(F)along the northeastern margin of the Tibetan Plateau.Building on this foundation,the paper analyzes the variability among different tectonic units and their relationship with seismic activity,incorporating data on thermal-rheological structure to propose potential deep drivers of tectonic movements.The results indicate that the region exhibits a widespread distribution of low F values,suggesting that the current lithospheric flexural state is primarily influenced by surface load.Furthermore,significant variability in effective elastic thickness(Te)reflects differences in mechanical strength,which correlate with the eastward extrusion deformation and thermal structural state of the Tibetan Plateau.The findings provide a geophysical basis for the quantitative study of the dynamics of the Tibetan Plateau.
Northeast margin of Qinghai-Tibet PlateauLithospheric flexureEffective elastic thicknessLoad ratioBayesian inference
NETL
NSTL
万方数据
