基于合成孔径雷达的长江口海表流场反演

Range Doppler velocities derived from the Envisat advanced synthetic aperture radar（ASAR） wide swath images are analyzed and assessed against the numerically simulated surface current fields derived from the finite volume coastal ocean model（FVCOM） for the Changjiang Estuary. Comparisons with the FVCOM simulations show that the European Space Agency（ESA） Envisat ASAR based Doppler shift anomaly retrievals have the capability to capture quantitative information of the surface currents in the Changjiang Estuary. The uncertainty analysis of the ASAR range Doppler velocity estimates are discussed with regard to the azimuthal and range bias corrections, radar incidence angles, inaccuracy in the wind field corrections and the presence of rain cells.The corrected range Doppler velocities for the Changjiang Estuary area are highly valuable as they exhibit quantitative expressions related to the multiscale upper layer dynamics and surface current variability around the East China Sea, including the Changjiang Estuary.     

Heat flux calculations for Mackenzie and Yukon Rivers

This study analyzes long-term (40–60 years) discharge and water temperature records collected near the basin outlets of the Yukon and Mackenzie Rivers. It defines seasonal cycles of discharge, water temperature (WT), and heat flux (HF) for the basins, and compares their main features to understand their similarity and difference. Both rivers have similar hydrographs, i.e. low flows in winter and high discharge in summer, with the peak flood in June due to snowmelt runoff. Mackenzie River has many large lakes and they sustain the higher base flows over the fall/winter season. Mackenzie basin is large with high precipitation, thus producing 50% more discharge than the Yukon River to the Arctic Ocean. The WT regimes are also similar between the two rivers. Yukon River WT is about 2–3 °C warmer than the Mackenzie over the open water months. Both rivers have the highest WT in the mid summer and they transport large amount of heat to the polar ocean system. Yukon River monthly HF is lower by 10–60% than the Mackenzie mainly due to smaller discharge. Mackenzie River heat transport peaks in July, while the Yukon HF reaches the maximum in June and July. These results provide critical knowledge of river thermal condition and energy transport to the northern seas. They are useful for large-scale climate and ocean model development and validation, and climate/hydrology change research in the northern regions.     

Large eddy simulations of two-dimensional turbulent convection in a density-stratified fluid

Large eddy simulations (LES) of two-dimensional turbulent convection within the anelastic approximation are presented for Rayleigh number Ra?=?10⁹, Prandtl number Pr?=?1 with free-slip boundary conditions. Various subgrid-scale (SGS) models are investigated such as a similarity model, a dynamic similarity model, a dynamic eddy-viscosity model, a hyperdiffusion model and a hybrid model (dynamic similarity hyperdiffusion model). To study the effects of density stratification on the models, we have also carried out simulations for a Boussinesq flow. The SGS models are compared to direct numerical simulation (DNS) data on the basis of kinetic energy and entropy variance spectra, mean entropy profiles, r.m.s. entropy profiles and r.m.s. kinetic energy density profiles. The results show that for the Boussinesq flow, all the SGS models agree fairly well with the high resolution DNS data. However, for the strongly density-stratified flow, only the hyperdiffusion and the hybrid model show good performance.     

基于三维信息技术大比例尺三维立体矿产预测方法及途径

大比例尺成矿预测是矿田发现深部隐伏矿床的重要途径。随着三维地质信息技术的日臻完善,研究和开发三维可视化环境下地质勘查数据处理与信息综合方法十分必要。以我国甲玛等十几个矿山三维建模预测工作为支撑,初步研究了矿田控矿构造三维模拟、矿床模型三维可视化、三维信息综合定量预测等关键技术问题,探讨了三维预测软件开发技术难点,总结了大比例尺三维预测工作流程,并用实例说明应用成效。     

龙东公路④号滑坡稳定性评价及滑坡推力计算

滑坡位于斜坡中部,面积大、临空面宽,玄武岩碎石土分布广,近期活动明显。经69个钻孔及地表调绘实测,完成稳定性评价及推力计算,有效提供治理依据。     

Genesis of the Late Mesozoic Great Xing’an Range Large Igneous Province in eastern central Asia: A Mongol–Okhotsk slab window model

The late Mesozoic Great Xing’an Range Large Igneous Province (XRLIP), with an area of >3 × 10⁵ km², is a prominent, enigmatic feature in eastern central Asia. The province is characterized by extensive within-plate magmatism, including a >4 km-thick sequence of volcanic rocks and voluminous plutons emplaced during an interval of ~40 million years from Late Jurassic through Early Cretaceous times (~150–110 Ma). The igneous activities are characterized by widespread adakitic rocks, alkalic basalts, and A-type granitoids with largely intraplate geochemical signatures, emplaced in a normal continental crustal setting. A Mongol–Okhotsk ridge subduction model is proposed for petrogenesis of the igneous rocks. Partial melting of young, hot, subducting oceanic slabs close to the ridge formed the adakitic rocks. A slab window that opened during ridge subduction triggered alkalic basaltic to A-type granitic and minor calc-alkaline magmas, as well as large-scale, metallogenic mineralization and subsequent basin formation.     

Large eddy simulations of a circular cylinder at Reynolds numbers surrounding the drag crisis

Large eddy simulations of the flow around a circular cylinder at high Reynolds numbers are reported. Five Reynolds numbers were chosen, such that the drag crisis was captured. A total of 18 cases were computed to investigate the effect of gridding strategy, turbulence modelling, numerical schemes and domain width on the results. It was found that unstructured grids provide better resolution of key flow features, when a ‘reasonable’ grid size is to be maintained.When using coarse grids for large eddy simulation, the effect of turbulence models and numerical schemes becomes more pronounced. The dynamic mixed Smagorinsky model was found to be superior to the Smagorinsky model, since the model coefficient is allowed to dynamically adjust based on the local flow and grid size. A blended upwind-central convection scheme was also found to provide the best accuracy, since a fully central scheme exhibits artificial wiggles, due to dispersion errors, which pollute the solution.Mean drag, fluctuating lift Strouhal number and base pressure are compared to experiments and empirical estimates for Reynolds numbers ranging from 6.31 × 10⁴ to 5.06 × 10⁵. In terms of the drag coefficient, the drag crisis is well captured by the present simulations, although the other integral quantities (rms lift and Strouhal number) show larger discrepancies. For the lowest Reynolds number, the drag is seen to be more sensitive to the domain width than the spanwise grid spacing, while at the higher Reynolds numbers the grid resolution plays a more important role, due to the larger extent of the turbulent boundary layer.     

磁铁矿和钛铁矿成分对四川太和富磷灰石钒钛磁铁矿床成因的约束

产于层状镁铁质-超镁铁质岩体中的太和岩浆型Fe-Ti氧化物矿床是峨眉山大火成岩省内带几个超大型Fe-Ti氧化物矿床之一。太和岩体长超过3km,宽2km,厚约1.2km。根据矿物含量和结构等特征,整个岩体从下向上可划分为下部岩相带、中部岩相带、上部岩相带。下部岩相带主要以(橄榄)辉长岩和厚层不含磷灰石的块状Fe-Ti氧化物矿层组成。中部岩相带韵律旋回发育,(磷灰石)磁铁辉石岩主要位于旋回的底部,旋回上部为(磷灰石)辉长岩。上部岩相带主要是贫Fe-Ti氧化物的磷灰石辉长岩。太和中部岩相带磷灰石磁铁辉石岩含有5%~12%磷灰石、20%~35%Fe-Ti氧化物、50%~60%硅酸盐矿物,且硅酸盐矿物与磷灰石呈堆积结构。磷灰石磁铁辉石岩中磁铁矿显示高TiO2、FeO、MnO、MgO,且变化范围与趋势接近于攀枝花岩体。钛铁矿FeO分别与TiO2、MgO显示负相关,而FeO分别与Fe2O3、MnO显示正的相关,且TiO2、FeO、MnO、MgO含量变化较大,这些特征都暗示磁铁矿和钛铁矿是从富Fe-Ti-P岩浆中分离结晶。因此,可以推断太和磷灰石磁铁矿辉石岩形成于矿物重力分选和堆积。太和下部岩相带包裹在橄榄石中磁铁矿含有相对较高Cr2O3(0.07%~0.21%),而中部岩相带包裹在橄榄石中磁铁矿Cr2O3(0.00%~0.03%)显著降低,且这些磁铁矿Cr2O3含量变化与单斜辉石Cr含量和斜长石An牌号呈正相关。这些特征印证了形成中部岩相带的相对演化的富Fe-Ti-P母岩浆可能是源自中部岩浆房的混合岩浆。上部岩相带磁铁矿和中部岩相带顶部少量磁铁矿显示较低Ti+V可能是由于岩浆房中累积的岩浆热液对磁铁矿成分进行了改造。     

Research Progresses and Prospect of Chimney Effect about Carbon Cycle in the Karst Cave System

There is a long history of several decades for the systemic study of global carbon cycles, and many important achievements have been obtained. However, these studies of carbon cycles in the karst area that accounts for about 10% of the entire Earth’s land area were paid attention gradually only in the past twenty. Recent researches suggest that karstification has important effects of the global carbon cycle. At present, scientists have had a very comprehensive and systemic understanding of various factors affecting the carbon cycle in the karst area, and estimated the carbon source or sink. However, unlike non karst area, there are generally many caves and fractures that have various sizes and morphologies in the karst area. These caves and fractures provide gas exchange between epikarst zone and atmosphere with a channel (as a window) in the karst area. There have been few reports about the role of the channel in the carbon cycle in the karst area. Previous studies have shown there is an obvious chimney effect in the karst cave system, which cannot be ignored. However, through the overview of the previous studies on carbon cycle of chimney effect in the karst cave system, we found that there were still many problems need to be further studied, such as the contribution of chimney effect to regional and global atmospheric CO₂; the regional differences, the seasonal changes and its reason (driving force) of chimney effect; the influences of chimney effect on the local ecosystem. With the development of modern science and technology (such as eddy covariance, large aperture scintillation and isotope), it becomes possible to solve the above problems. Therefore, it is necessary to use these advanced means for automatic and continuous monitoring and researching the carbon cycles in the karst cave system, which are of important significance for the researches of carbon cycles in the karst area, even for the global carbon cycle studies.     

A hybrid method for optimization of the adaptive Goldstein filter

The Goldstein filter is a well-known filter for interferometric filtering in the frequency domain. The main parameter of this filter, alpha, is set as a power of the filtering function. Depending on it, considered areas are strongly or weakly filtered. Several variants have been developed to adaptively determine alpha using different indicators such as the coherence, and phase standard deviation. The common objective of these methods is to prevent areas with low noise from being over filtered while simultaneously allowing stronger filtering over areas with high noise. However, the estimators of these indicators are biased in the real world and the optimal model to accurately determine the functional relationship between the indicators and alpha is also not clear. As a result, the filter always under- or over-filters and is rarely correct. The study presented in this paper aims to achieve accurate alpha estimation by correcting the biased estimator using homogeneous pixel selection and bootstrapping algorithms, and by developing an optimal nonlinear model to determine alpha. In addition, an iteration is also merged into the filtering procedure to suppress the high noise over incoherent areas. The experimental results from synthetic and real data show that the new filter works well under a variety of conditions and offers better and more reliable performance when compared to existing approaches.