试论陆壳增生的两种基本模式及其对比

大陆地壳是地球形成演化的必然产物。大陆地壳由不同时代、不同类型、不同规模地体的拼贴而增生；同时已形成的大陆地壳沿着新的断裂分裂、离散而碱小。因此大陆地壳是地体拼贴增生与分裂离散的综合结果。太古代早期，原始陆壳形成后，主要通过环太平洋型与天山型两种基本模式达到陆壳的增生。环太平洋型陆壳增生模式出现于陆块的边缘，由古大陆向大洋方向单向增生，增生年代由老到新，增生地体一般都有较大距离的移置，其增生与板块的俯冲作用密切有关。天山型陆壳增生模式出现在陆块的内部，其形成与陆块的开台作用密切有关，可以但不一定伴随有俯冲作用。当古大陆沿一定方向断裂带分裂、离散。其间形成新的海槽接受碳酸盐岩和正常陆源碎屑沉积物与来自地壳深部或地幔的火山物质。由于壳下应力条件改变，两侧古陆相向运动，海槽中物质受两侧古陆碰撞挤压，形成褶皱造山带，并把两侧的古大陆“焊接”成新的、范围更大的大陆地壳。     

高岭石—莫来石反应系列：^27Al和^29SiMAS NMR研究

根据艰我国八个不同成因和特征的高岭土样品在４５０－１４５０℃热处理产物的ＭＡＳ ＮＭＲ谱和ＸＲＤ，ＩＲ，ＤＴＡ等研究结果，结合有关资料讨论了高岭石－莫来石反应序列的几个重要问题：１．高岭石的结构，尤其是五配位铝；２．９８０℃放热峰后的高温相是γ－Ａｌ２Ｏ３而不是Ａｌ－Ｓｉ尖晶石；３．对于莫来石化过程，认为初始莫来石８５０－９５０℃变高岭石形成，二次莫来石由分凝的ＳｉＯ２和γ－Ａｌ２Ｏ３在１２００－     

Dynamic nucleation process of shallow earthquake faulting in a fault zone

Two distinct phases are commonly observed at the initial part of seismograms of large shallow earthquakes: low-frequency and low-amplitude waves following the onset of a P wave ( P ₁) are interrupted by the arrival of the second impulsive phase P₂ enriched with high-frequency components. This observation suggests that a large shallow earthquake involves two qualitatively different stages of rupture at its nucleation.
We propose a theoretical model that can naturally explain the above nucleation behaviour. The model is 2-D and the deformation is assumed to be anti-plane. A key clement in our model is the assumption of a zone in which numbers of pre-existing cracks are densely distributed; this cracked zone is a model for the fault zone. Dynamic crack growth nucleated in such a zone is intensely affected by the crack interactions, which exert two conflicting effects: one tends to accelerate the crack growth, and the other tends to decelerate it. The accelerating and decelerating effects are generally ascribable to coplanar and non-coplanar crack interactions, respectively. We rigorously treat the multiple interactions among the cracks, using the boundary integral equation method (BIEM), and assume the critical stress fracture criterion for the analysis of spontaneous crack propagation.
Our analysis shows that a dynamic rupture nucleated in the cracked zone begins to grow slowly due to the relative predominance of non-coplanar interactions. This process radiates the P₁ phase. If the crack continues to grow, coalescence with adjacent coplanar cracks occurs after a short time. Then, coplanar interactions suddenly begin to prevail and crack growth is accelerated; the P₂ phase is emitted in this process. It is interpreted that the two distinct phases appear in the process of the transition from non-coplanar to coplanar interaction predominance.     

Magnetic anisotropy produced by magma flow: theoretical model and experimental data from Ferrar dolerite sills (Antarctica)

Volcanic rocks forming sills, dykes or lava flows may display a magnetic anisotropy derived from the viscous flow during their emplacement. We model a sill as a steady-state flow of a Bingham fluid, driven by a pressure gradient in a horizontal conduit. The magma velocity as a function of depth is calculated from the motion and constitutive equations. Vorticity and strain rate are determined for a reference system moving with the fluid. The angular velocity and the orientation of an ellipsoidal magnetic grain immersed in the fluid are calculated as functions of time or strain. Magnetic susceptibility is then calculated for a large number of grains with a uniform distribution of initial orientations. It is shown that the magnetic lineation oscillates in the vertical plane through the magma flow direction, and that the magnetic foliation plane changes periodically from horizontal to vertical. The results are compared with the magnetic fabric of Ferrar dolerite sills (Victoria Land, East Antarctica) derived from low-field susceptibility measurements.     

The Darwin Rise demise: the western Pacific guyot heights trace the trans-Pacific Mendocino fracture zone

The Darwin Rise has been proposed so many times and in so many forms and places that the time has come to make a more comprehensive examination of the region. Lying on the NW Pacific Plate between the Geisha Guyots, the Mid-Pacific Mountains, the equator, and the trenches, the region is roughly bounded by magnetic anomaly M20 (147 Ma). It was subjected to a massive outpouring of lava about 105 to 120 Ma, which created the guyots and seamounts in that region. Guyots are excellent tools for studying events of long ago because they eroded in the same lowstand in the Cretaceous and guyot relief, therefore, is a surrogate for paleo-sealevel. The relief is derived by subtracting the break depth of the summit plateau of a guyot from the regional depth. Guyot relief would necessarily be less in the center than to the periphery if the feature formed on a pre-existing rise, as has been postulated. The existence of a paleo-Darwin Rise would give concentric contours for the region in question. Of the sixty guyots used in this study, thirty-seven of these guyots were surveyed using SASS multibeam in the Marcus-Wake seamount group. Twenty-three guyots were surveyed using random track single-beam sonar surveys. An entirely different scenario is shown. Data revealed a major fracture passing through the area coevally or after the guyots formed. Because the depths to the summit are not the same now, vertical tectonics occurred after subaerial erosion. This means the fracture formed during and after the erosion (roughly 105 Ma) and influenced the normal sequence of events in guyot formation. Depending on how one deciphers trends through the Hess Rise morass, SASS bathymetry shows a continuation of the Surveyor/Mendocino fracture zone swarm inside the M20 region to the NE of these data. The fracture swarm continues to the western Pacific trench system. Based on this information, if the Darwin Rise ever existed, it had to have done so elsewhere.     

高粘性牛顿流体粘性耗散的快速计算方法

螺旋泵可用来输送高粘性液体，该过程中由于液体的温度升高而粘度降低，因而其粘性耗散不能忽略。本文介绍一种上述情况下计算液体粘度、泵的功率和压力降的近似公式。     

腾格里沙漠东南缘降尘粒度特征和沉积速率

从多年降尘实测资料入手，分析了粉尘粒度特征、沉积速率和时变过程。提出了气象要素相关估测模型．确定０．２５ｍｍ为本区粉尘沉积粒径上限。周围沙漠是粉尘沉积细砂部分的尘源，粉砂和粘土部分沉积来自一个较大的时空范围，二者几乎各占降尘量的１／２。研究区年平均粉尘沉积速率４３５８ｋｇ／ｈｍ２，每年５月的季风转期具有年内最大沉积速率。     

Recovering magnetic susceptibility from electromagnetic data over a one-dimensional earth

While the inversion of electromagnetic data to recover electrical conductivity has received much attention, the inversion of those data to recover magnetic susceptibility has not been fully studied. In this paper we invert frequency-domain electromagnetic (EM) data from a horizontal coplanar system to recover a 1-D distribution of magnetic susceptibility under the assumption that the electrical conductivity is known. The inversion is carried out by dividing the earth into layers of constant susceptibility and minimizing an objective function of the susceptibility subject to fitting the data. An adjoint Green's function solution is used in the calculation of sensitivities, and it is apparent that the sensitivity problem is driven by three sources. One of the sources is the scaled electric field in the layer of interest, and the other two, related to effective magnetic charges, are located at the upper and lower boundaries of the layer. These charges give rise to a frequency-independent term in the sensitivities. Because different frequencies penetrate to different depths in the earth, the EM data contain inherent information about the depth distribution of susceptibility. This contrasts with static field measurements, which can be reproduced by a surface layer of magnetization. We illustrate the effectiveness of the inversion algorithm on synthetic and field data and show also the importance of knowing the background conductivity. In practical circumstances, where there is no a priori information about conductivity distribution, a simultaneous inversion of EM data to recover both electrical conductivity and susceptibility will be required.     

A model for the Am (Km) planetary geomagnetic activity index and application to prediction

We studied the existence of dynamical stochastic relations in the evolution of the am index. A first analysis of the autocorrelation functions showed evidence of several seasonalities. We first used linear (ARMA) models, and it was found that these do not account for the whole internal dynamics of the data series. We then used various non-linear models to provide a better fit to reality. The forecast performances of the non-linear models are not significantly different from those of the linear model. We give a tentative explanation for the failure of the non-linear predictions. Finally, ARCH models were used in order to take into account the fact that the confidence interval for the predicted value depends on past observations.