Dunhuang Yardang National Geo-park,situated in the Gansu Province of northwestern China(40o25'36 "N–40o33'10" N,93o00'00 "E–93o13'30" E),was chosen as a research locality of aesthetics evaluation of yardang landforms landscape.The yardang landforms landscape is a composite structural system of patch-corridor-matrix,with four landscape unit elements as dense group,sparse group,single body and remnant.The study of the landscape aesthetics spatial pattern of Dunhuang Yardang National Geo-park shows that yardang dense group,sparse group and single body provide the greatest contribution to the aesthetic value of yardang landforms landscape.Yardang bodies are scarce,unique,irreplaceable,and priceless resources in yardang landforms areas.However,they are easily destroyed under the influence of the natural and artificial factors.Therefore,when the tourism potential of yardang landforms landscape is exploited,the protection should be fully improved. 相似文献
For decades, various well-known empirical correlations have been established and commonly used to estimate the undrained shear strength of normally consolidated clays in geotechnical practice. However, there are still many contradictory cases regarding the validity of these correlations, so their applicability and reliability are questionable. In this study, an extensive geotechnical database for normally consolidated clays has been compiled. Next, a Bayesian nonparametric method is exploited to identify the most critical soil index properties in inferring the undrained shear strength and a new predictive model is proposed. Finally, the performance of the proposed predictive model is assessed and compared with two well-known correlations using an independent testing database. It confirms that the proposed model not only possesses high predictability, but also provides superior performance over other existing empirical correlations. 相似文献
It has become clear in recent years that relativistic beaming is a good explanation for the BL Lac phenomenon. Of studies based on the relativistic beaming model of BL Lac objects, we note that the orientation of jet's axis to the line-of-sight is very small and, therefore, the observed flux emitted from a rapidly moving source is orders of magnitude higher than the flux in its rest-frame:Fobs = 3 + Fintr, where is the bulk relativistic Doppler factor. Then the observed apparent magnitudemv must be corrected for this effect. For our 39 samples, the corrected apparent magnitudemvcorr
and logZ have a good correlation. 相似文献
Satellite records show that the extent and thickness of sea ice in the Arctic Ocean have significantly decreased since the early 1970s. The prediction of sea ice is highly important, but accurate simulation of sea ice variations remains highly challenging. For improving model performance, sensitivity experiments were conducted using the coupled ocean and sea ice model (NEMO-LIM), and the simulation results were compared against satellite observations. Moreover, the contribution ratios of dynamic and thermodynamic processes to sea ice variations were analyzed. The results show that the performance of the model in reconstructing the spatial distribution of Arctic sea ice is highly sensitive to ice strength decay constant (Crhg). By reducing the Crhg constant, the sea ice compressive strength increases, leading to improved simulated sea ice states. The contribution of thermodynamic processes to sea ice melting was reduced due to less deformation and fracture of sea ice with increased compressive strength. Meanwhile, dynamic processes constrained more sea ice to the central Arctic Ocean and contributed to the increases in ice concentration, reducing the simulation bias in the central Arctic Ocean in summer. The root mean square error (RMSE) between modeled and the CryoSat-2/SMOS satellite observed ice thickness was reduced in the compressive strength-enhanced model solution. The ice thickness, especially of multiyear thick ice, was also reduced and matched with the satellite observation better in the freezing season. These provide an essential foundation on exploring the response of the marine ecosystem and biogeochemical cycling to sea ice changes.