A new gravity map, a new marine geoid around Japan and the detection of the Kuroshio current

About half a million marine gravity measurements over a 30^∘×30^∘ area centered on Japan have been processed and adjusted to produce a new free-air gravity map from a 5′×5′ grid. This map seems to have a better resolution than those previously published as measured by its correlation with bathymetry. The grid was used together with a high-degree and -order spherical harmonics geopotential model to compute a detailed geoid with two methods: Stokes integral and collocation. Comparisons with other available geoidal surfaces derived either from gravity or from satellite altimetry were made especially to test the ability of this new geoid at showing the sea surface topography as mapped by the Topex/Poseidon satellite. Over 2 months (6 cycles) the dynamic topography at ascending passes in the region (23^∘47^∘N and 123^∘147^∘E) was mapped to study the variability of the Kuroshio current. Received: 15 July 1994 / Accepted: 17 February 1997     

井间电阻率层析成象的某些进展

用有限元法作电阻率层析成象的核心问题是Ｊａｃｏｂｉ矩阵的求取和反演成象算法的研究。本文主要论述了这两方面的最新进展，即求取Ｊａｃｏｂｉ矩阵的格林函数法，用于反演成象计算的平滑度约束反演。文中通过理论模型的成象计算，比较了两种反演算法的成象效果。     

翁牛特东部地区基底折射资料的二维反演

本文介绍了采用相遇观测系统中全部走时分支曲线双向同时二维反演拟合法。对翁牛特东部地区的三条剖面基底折射资料二维反演，文中展示了各条剖面的理论走时对比图，射线追踪图，二维速度结构分布图，一维速度柱状图以及理论地震图。     

辽宁西部地区地震前后重力异常反映

采用高精度拉科斯特重力仪在辽宁西部地区进行多期重力重复测量，获得了较为丰富的基础资料，通过对资料的分析与研究，进一步加深了辽宁西部地区重力场变化的认识。特别是１９９４年１０月和１９９６年７月，在测区内及其附近相继发生ＭＬ４．９级和ＭＬ５．０级地震。而这两次地震为１９８８年以来在辽宁西部地区发生的最大地震。通过对该区流动重力资料空间上和时间上的研究分析，从中获得了震前重力变化的某些前兆信息。通过对该     

永登5.8级地震前后的重力变化

着重分析了１９９５年７月２２日永登５．８级地震前后的重力异常变化及其与地震的对应关系，对这次地震的探讨性分析，进一步说明流动重力测量对一些较大地震作出一定的预报是可行的。     

一类测井方程的解析反演

本文采用解析方法，给出了感应测井中当介质可表示成ｖ（ｘ，ｙ，ｚ）＝Σ↓ｋ，ｆｖｋ，ｊ＾ｘ＾ｋｙ＾ｊ时的反演公式，并讨论了径向浸入深度γ０的反演。     

遗传算法在上地幔速度结构研究中的应用

遗传算法是近年来发展较快的一种求解非线性优化问题的有效方法。本文通过对遗传算法基本原理的介绍，对该方法的特点进行了分析。我们采用ＷＫＢＪ理论地震图作正演，遗传算法作反演，对用体波波形反演上地幔速度结构的方法进行了研究。在ＷＫＢＪ理论地震图的计算中，通过计算主要射线的平均吸收特征时间，考虑了衰减随距离的变化，通过对不同震源引入不同的虚拟界面，同时对多个地震的波形记录进行反演。探讨了观测误差对反演结果的影响。对理论记录的反演表明，用遗传算法研究上地幔速度结构具有较好的效果。     

岩矿石电磁频散规律及其在电磁波法勘探中的影响和校正

本文以大量的实测资料为依据,总结了岩矿石电磁频散的规律性。结合电磁波勘探方法中的实际问题,讨论了频散对相位常数α和吸收系数β所产生的影响及误差。提出了在实际工作中对频散进行校正的必要性,并且给出了校正公式。     

Centroid moment tensor inversion of low-frequency seismic spectra using Green's functions for aspherical earth models

We present a new method for centroid moment tensor (CMT) inversion, in which we employ the Green's function computed for aspherical earth models using the Direct Solution Method. We apply this method to CMT inversion of low-frequency seismic spectra for the 1994 Bolivia and 1996 Flores Sea deep earthquakes. The estimated centroid locations agree well with those obtained by multiple-shock analyses using body-wave data. This shows that it is possible to obtain reliable CMT solutions by analyses of low-frequency seismic spectra using accurate Green's functions computed for present 3-D earth models.     

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.