青藏高原大地水准面异常的解释与场源效应初探

在正常地球椭球或球体的情况下,其内外异常质量引起的大地水准面（异常）的表达式已推导出来,从而可以决定该面是在正常地球之内,抑或其外,由此推得高原处的大地水准面应在其外（正值）,而青藏高原的大地水准面却在？30m左右.为什么会有这样大的负异常？该大地水准面有什么特征？它们由哪些场源组成的？主要和其他的异常源的贡献有多大？本文根据地震波速及地形、重力等资料对此作了较深入探讨和解释,分析表明五个方面场源的总效应与EGM-96的结果相近.     

试论地形在我国大地水准面精化中的作用

与地形(水深)以及相应的均衡补偿相联系的质量是引起重力变化的主要原因,尤其是短波长变化,此时直接地或间接地考虑地形影响都是必要的。因此,本文综合国内外有关资料全面论述了地形在我国未来大地水准面精化中的作用。最后指出,GPS与经典水准测量的结合将会大幅度提高我国大地水准面的精度,如果在广大地区辅以高分辨率的数字地面模型DTM,我国未来大地水准面将跨越米级,有可能达到分米级或厘米级。     

EGM2008地球重力模型数据在中国大陆地区的精度分析

本文介绍了5′×5 ′的EGM2008地球重力模型及其在全球的精度评价.按照地形变化规律,将中国大陆大致分为7个区域,在10 km网度上,将EGM2008地球重力模型数据与中国地面实测空间重力网格数据进行了对比.由于数据源的问题,中国大陆的模型数据精度普遍低于北美和欧洲.二种数据在地形平坦的东部地区差别较小,向西随着地形复杂程度的增加,二种数据之间的标准差从小于10 mGal增大到50多mGal.畸变点分析表明精度极低的网格点均分布在地形起伏大的地区.总体而言,5′×5′的EGM2008地球重力模型数据在中国大陆将近80％的面积上的精度可达10 mGal之内,可用于小比例尺重力编图和构造研究.在地形起伏较大的中国西部以青藏高原为例进一步比较了EGM2008重力模型和重力测点数据,结果表明在重力点分布稀疏不均匀的地区,平面网格数据难以准确表达重力场信息.由于缺少地面重力数据控制,EGM2008重力模型数据在中国西部精度较低,但模型数据依然在很大程度上提高了空间重力异常信息的丰富程度.将中国区域重力调查成果数据应用于地球模型的构建是一项有意义的工作.     

利用卫星测高数据推求中国近海及邻域大地水准面起伏和重力异常研究

首先对中国近海及邻域（0°-40°N,105°─135°E）内4年的T／P卫星测高数据（1992－10-03-1996－10－09）和1年多的ERS－1卫星测高数据（1992－10－23-1994－01－20）进行了预处理以剔除数据中的粗差影响．然后,对卫星的重复轨迹采用"共线"处理方法得到该海域的平均海平面．在扣除海面地形的影响后得到该海域30'×X30'大地水准面起伏。再分别采用Stokes公式逆运算加FFT技术和最小二乘配置法恢复出该海域30'×30'海洋重力异常．所得到的海洋大地水准面起伏精度为8．5cm,恢复出的重力异常的精度为35×10－5m／s2．     

精化大地水准面的一种间接方法——异常及其梯度在其中的应用

随着GPS/水准及全球重力测量的加密和扩展,获取高精度的似大地水准面或高程异常(ξ)已比较容易,如何进一步研究它和大地水准面或大地水准面高(N)之间的关系(即所谓间接的方法)使大地水准面得到精化,这就是本文的目的,文中对已推导的公式在模型作了验证,对如何利用地形等数据确定扰动重力垂直梯度也作了研究,结果表明:在海拔4000 m的高山地区,当似大地水准面的精度达到cm级时,大地水准面的精度也与之比较接近.     

利用卫星测高数据推求中国近海及邻域大地水准面起伏和重力异常研究水

首先对中国近海及邻域（0°-40°N,105°─135°E）内4年的T／P卫星测高数据（1992－10-03-1996－10－09）和1年多的ERS－1卫星测高数据（1992－10－23-1994－01－20）进行了预处理以剔除数据中的粗差影响．然后,对卫星的重复轨迹采用"共线"处理方法得到该海域的平均海平面．在扣除海面地形的影响后得到该海域30'×X30'大地水准面起伏。再分别采用Stokes公式逆运算加FFT技术和最小二乘配置法恢复出该海域30'×30'海洋重力异常．所得到的海洋大地水准面起伏精度为8．5cm,恢复出的重力异常的精度为35×10－5m／s2．     

罗斯海海域大地水准面异常的成因研究

本文利用数值法求解瞬时地幔对流问题以模拟大地水准面异常.利用两个较新的 S 波速度异常层析模型SEMUCB WM1 和TX2019slab,将其转换为密度异常作为控制方程的浮力驱动项;采取的黏度结构模型中,上下地幔的黏度比为1∶50.为了研究地幔不同结构对罗斯海海域大地水准面异常的影响,分别提取上、下地幔的密度异常正/...     

川西地区实测自由空气重力异常与EGM2008模型结果的差异

在四川盆地西部建立了一个由302个观测站组成的区域观测网,并进行了高精度流动重力与GPS观测,其目的是获取区域自由空气重力异常(简称重力异常)的分布特征,并对EGM2008模型在该区域的结果进行验证分析.研究区域实测的重力异常总体为负值,由西到东逐步从-160×10-5ms-2平缓变化到-60×10-5ms-2左右.EGM2008地球重力场模型揭示的模型重力异常较好地勾画出研究区域的总体地形分布形态,龙泉山脉以及四川盆地与青藏高原的边界皆存在明显的模型重力梯度带.研究区东南部的模型重力异常大约为-50×10-5ms-2左右,但在龙泉山西部成都平原地区,模型重力异常则达到-120×10-5ms-2左右.在区域观测网内绝大部分观测点上,模型与实测重力异常的差值几乎为一个常数(-10×10-5ms-2左右),说明EGM2008地球重力场模型可较好地反映实际重力场的空间分布形态.如果配以一定数量的地面观测数据进行整体调节,EGM2008地球重力场模型就可以较真实地反映实际地球重力场.     

中国及邻区大地水准面异常的场源深度探讨

利用中国及邻区地形、地震层析成像、沉积层底面、Moho面及岩石层底面资料,正演计算出中国及邻区岩石圈大地水准面异常;再从全阶大地水准面异常中扣除正演模拟得到的岩石圈大地水准面异常与不同阶次波段的大地水准面进行比较,寻求表示中国及邻区地幔物质不均匀的大地水准面异常的最佳阶次为2-60阶. 结果表明,对应于岩石圈的大地水准面异常的重力位球谐函数阶数为61-20阶;下地幔重力位球谐函数阶数为2-6阶;而-60阶重力位球谐函数则表示中国及邻近区域上地幔大地水准面异常.     

中国及邻区大地水准面异常的场源深度探讨

利用中国及邻区地形、地震层析成像、沉积层底面、Moho面及岩石层底面资料,正演计算出中国及邻区岩石圈大地水准面异常;再从全阶大地水准面异常中扣除正演模拟得到的岩石圈大地水准面异常与不同阶次波段的大地水准面进行比较,寻求表示中国及邻区地幔物质不均匀的大地水准面异常的最佳阶次为2-60阶. 结果表明,对应于岩石圈的大地水准面异常的重力位球谐函数阶数为61-20阶;下地幔重力位球谐函数阶数为2-6阶;而-60阶重力位球谐函数则表示中国及邻近区域上地幔大地水准面异常.     

On the interpretation of magnetic anomalies for strong remanent magnetizations

In this paper some aspects concerning the interpretation of magnetic anomalies are treated, particularly when the remanent magnetization intensity is strong. In this case, since total and induced magnetization vectors can have very different directions, a correct anomaly interpretation strictly depends on the knowledge of their declinations and inclinations.Thus, a specific procedure is described to determine such parameters from well-known semi-empirical techniques and vectorial relations.Furthermore, the classical definition of apparent susceptibility is shown to be inadequate to this problem and a more general formulation is suggested, which is not only related to the true susceptibility and to the Koenisberger ratio, but also to the declinations and inclinations of the induced and remanent magnetization vectors.The two apparent susceptibilities are then compared for some synthetic magnetic anomalies and significant differences are found.     

On the effect of a low viscosity asthenosphere on the temporal change of the geoid—A challenge for future gravity missions

New satellite technology to measure changes in the Earth’s gravity field gives new possibilities to detect layers of low viscosity inside the Earth. We used density models for the Earth mantle based on slab history as well as on tomography and fitted the viscosity by comparison of predicted gravity to the new CHAMP gravity model. We first confirm that the fit to the observed geoid is insensitive to the presence of a low viscosity anomaly in the upper mantle as long as the layer is thin ( 200 km) and the viscosity reduction is less than two orders of magnitude. Then we investigated the temporal change in geoid by comparing two stages of slablet sinking based on subduction history or by advection of tomography derived densities and compared the spectra of the geoid change for cases with and without a low viscosity layer, but about equal fit to the observed geoid. The presence of a low viscosity layer causes relaxation at smaller wavelength and thus leads to a spectrum with relatively stronger power in higher modes and a peak around degrees 5 and 6. Comparing the spectra to the expected degree resolution for GRACE data for a 5 years mission duration shows a weak possibility to detect changes in the Earth’s gravity field due to large scale mantle circulation, provided that other causes of geoid changes can be taken into account with sufficient accuracy. A discrimination between the two viscosity cases, however, demands a new generation of gravity field observing satellites.     

天山及邻区Vening Meinesz均衡重力异常特征及其动力学意义

本文基于Vening Meinesz区域均衡模型,通过试验不同参数计算Vening Meinesz均衡补偿深度,将其与CRUST1.0模型给出的莫霍面深度进行拟合,得到适应于天山及邻区的平均补偿深度、"地区性指标"以及区域补偿半径.结合地球重力场模型EIGEN-6C4与地形数据,利用球冠体积分方法进行地形效应、沉积层效应计算和均衡校正,得到了研究区的Vening Meinesz均衡重力异常.结果显示天山及邻区的均衡重力异常幅值在-110~120 mGal之间,表明了天山及周边盆地岩石圈所处于的均衡状态,同时揭示了研究区的壳幔密度分布特征.天山、塔里木盆地、准噶尔盆地等块体的地壳垂向形变可能部分地由均衡调整引起,且均衡调整趋势与地面形变测量结果相契合.通过对均衡重力异常成因的解释,从地壳均衡角度分析了该地区复杂的构造背景及其新生代以来的演化历程.     

磁法探测地下核爆炸初探

从核核查角度探讨了地下核爆炸产生磁异常的机理,并对磁法探测地下核爆炸可行性进行了分析研究,结合我们的一些试验研究认,为通过分析处理地下核爆炸的磁异常可以达到核核查目的.     

天山及邻区Vening Meinesz均衡重力异常特征及其动力学意义

本文基于Vening Meinesz区域均衡模型,通过试验不同参数计算Vening Meinesz均衡补偿深度,将其与CRUST1.0模型给出的莫霍面深度进行拟合,得到适应于天山及邻区的平均补偿深度、"地区性指标"以及区域补偿半径.结合地球重力场模型EIGEN-6C4与地形数据,利用球冠体积分方法进行地形效应、沉积层效应计算和均衡校正,得到了研究区的Vening Meinesz均衡重力异常.结果显示天山及邻区的均衡重力异常幅值在-110~120 mGal之间,表明了天山及周边盆地岩石圈所处于的均衡状态,同时揭示了研究区的壳幔密度分布特征.天山、塔里木盆地、准噶尔盆地等块体的地壳垂向形变可能部分地由均衡调整引起,且均衡调整趋势与地面形变测量结果相契合.通过对均衡重力异常成因的解释,从地壳均衡角度分析了该地区复杂的构造背景及其新生代以来的演化历程.     

Characteristic curves for the inversion of magnetic anomalies of spherical ore bodies

Characteristic curves are presented for interpreting vertical and total components of the anomalous magnetic field caused by spherical ore bodies. The curves use characteristic distances which are easy to measure on an anomaly profile. The method is fast, and does not require prior knowledge of the base level or the origin. Inversion with the characteristic curves is demonstrated on two field examples and the curves computed for the estimated parameters match well the field curves.     

A Fourier transform method for the interpretation of self-potential anomalies due to two-dimensional inclined sheets of finite depth extent

The self-potential anomaly due to a two-dimensional inclined sheets of finite depth extent has been analysed in the frequency domain using the Fourier transform. Expression for the Fourier amplitude and phase spectra are derived. The Fourier amplitude and phase spectra are analysed so as to evaluate the parameters of the sheet. Application of this method on two anomalies (synthetic and field data) has given good results.     

An insightful parametrization for the flatlander's interpretation of time‐lapsed seismic data

An approximation is developed that allows mapped 4D seismic amplitudes and time‐shifts to be related directly to the weighted linear sum of pore pressure and saturation changes. The weights in this relation are identified as key groups of parameters from a petroelastic model and include the reservoir porosity. This dependence on groups of parameters explains the inherent non‐uniqueness of this problem experienced by previous researchers. The proposed relation is of use in 4D seismic data feasibility studies and inversion and interpretation of the 4D seismic response in terms of pore pressure and water saturation changes. A further result is drawn from analysis of data from the North Sea and West Africa, which reveals that the relative interplay between the effects of pore pressure and saturation changes on the seismic data can be simplified to the control of a single, spatially variant parameter C_S/C_P. Combining these results with those from published literature, we find that C_S/C_P = 8 appears to be a generality across a range of clastic reservoirs with a similar mean porosity. Using this C_S/C_P value, an in situ seismic‐scale constraint for the rock stress sensitivity component of the petroelastic model is constructed considering this component carries the largest uncertainty.     

On the use of the autocorrelation method for estimating the depth to the magnetic basement

The depth to the top of magnetic dykes can be estimated from total field aeromagnetic data using the relation between the depth to magnetic sources and the autocorrelation function of magnetic data. By using synthetic anomalies we show that in the ideal case, depth can be determined to an accuracy of 10% or better, when the anomaly sources are two-dimensional dykes. However, the estimated depths depend on the width of the dykes. The estimated depth is about 0.6 times the actual depth to the top of thin dykes, and around the true depth for thick dykes having width-to-depth ratio around 3. The depth is considerably overestimated for very thick dykes (e.g., contacts, which is a special case of the thick dyke). Thus, the autocorrelation method requires that the width-to-depth ratio of the dyke is estimated independently to correctly estimate the depths. Alternatively, it must be assumed that the width-to-depth ratio for the two-dimensional source body is between 1.5 and 4.