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31.
华北地台北缘地球物理场特征与金属矿床预测   总被引:5,自引:0,他引:5       下载免费PDF全文
对华北地台北缘的地球物理场特征进行了探讨,根据重、磁异常数据反演计算了该地区的莫霍界面、居里界面、磁性界面的起伏.利用地球物理场资料和反演计算结果对该地区的构造格架和断裂进行了推断,同时预测了9个成矿远景区:(1)集宁一呼和浩特金成矿区;(2)张家口一赤城金、银多金属成矿区;(3)密云一高岭金、铜成矿区;(4)青龙一马兰庄金成矿区;(5)秦皇岛、金多金属成矿区;(6)郝家营多金属成矿区;(7)承德地区金、多金属成矿区;(8)赤峰一喀喇沁旗金成矿区;(9)宁城东金、多金属成矿区.  相似文献   
32.
南海地球物理场特征及基底断裂体系研究   总被引:7,自引:3,他引:7  
南海海域主体可划分为南海北缘、中西沙、南沙南海海盆四块,各块具有明显不同的重磁场特征。反演得到的莫霍面总体趋势由陆向洋抬升,反映陆壳、拉伸陆壳、过渡壳、洋壳的分布。东沙高磁异常含一定的高频成份,与新生代玄武岩及中生代岩浆岩有关,而其低频成份可能反映了发育的下地壳高速层,南海海域断裂极为发育,可分为北东向断裂组、东西向断裂组、北西向断裂组和南北向断裂组,南海北缘、南缘均以北东向张性断裂与北西向张剪性、剪性断裂为主要格架,形成了、南北分带、东西分块”构造格局。  相似文献   
33.
We use high resolution Monte Carlo simulations to study the dispersive mixing in two-phase, immiscible, porous media flow that results from the interaction of the nonlinearities in the flow equations with geologic heterogeneity. Our numerical experiments show that distinct dispersive regimes occur depending on the relative strength of nonlinearity and heterogeneity. In particular, for a given degree of multiscale heterogeneity, controlled by the Hurst exponent which characterizes the underlying stochastic model for the heterogeneity, linear and nonlinear flows are essentially identical in their degree of dispersion, if the heterogeneity is strong enough. As the heterogeneity weakens, the dispersion rates cross over from those of linear heterogeneous flows to those typical of nonlinear homogeneous flows.  相似文献   
34.
用半球气候异常场强度及球函数分析改进方案,分析了北、南半球500hPa气候异常高度场的环流特征,得到如下主要结论:1)半球异常冬强于夏,北半球强于南半球。2)500hPa气候异常位势高度场具有低阶、低维的特征,它们主要由超长波及长波波段(0≤m、k≤6)的球函数构成。3)北半球500hPa气候异常位势高度场集的球函数谱结构较南半球复杂.夏季较冬季复杂。仅用超长波及长波波段的球函数拟合半球500hPa异常位势高度场,就可保证其有足够的精确度。  相似文献   
35.
用雷达观测资料改进MM5初始场的初步试验研究   总被引:16,自引:0,他引:16  
采用同时调整热力学和动力学变量,并考虑湿度与温度的变化相协调的初始化方法,引进雷达资料改善MM5模式的初始场。试验结果表明:经过优化处理的初始场,显著提高了模式对降水特别是甚短时(0~6h)降水的落区和量的预报准确率。其中调整热力学变量对改进降水落区预报比动力学变量的调整更为重要。  相似文献   
36.
1 INTRODUCTION Most of the conventional sea surface wind data are measurements from ships, buoys and islands, with coverage and spatial resolution far below the requirements of research and application. At present, due to limited understanding of physical processes and efficient exploitation of data, numerical prediction models have not been used as they should be, although routine procedures are able to give sea surface wind fields at the intervals of 6 hours. With the development of sp…  相似文献   
37.
测氡法快速确定油气田边界及深度   总被引:5,自引:0,他引:5  
本介绍了运用测氡法快速确定大庆××油气田边界,估算其埋藏深度试验,结果表明,该方法具有可行性和实用性。由于所做工作有限,尚属经验性探讨,还必须从理论和实践上进一步地工作,进而充实、完善它。  相似文献   
38.
Dynamic stochastic estimation of physical variables   总被引:1,自引:0,他引:1  
A fundamental problem facing the physical sciences today is analysis of natural variations and mapping of spatiotemporal processes. Detailed maps describing the space/time distribution of groundwater contaminants, atmospheric pollutant deposition processes, rainfall intensity variables, external intermittency functions, etc. are tools whose importance in practical applications cannot be overestimated. Such maps are valuable inputs for numerous applications including, for example, solute transport, storm modeling, turbulent-nonturbulent flow characterization, weather prediction, and human exposure to hazardous substances. The approach considered here uses the spatiotemporal random field theory to study natural space/time variations and derive dynamic stochastic estimates of physical variables. The random field model is constructed in a space/time continuum that explicitly involves both spatial and temporal aspects and provides a rigorous representation of spatiotemporal variabilities and uncertainties. This has considerable advantages as regards analytical investigations of natural processes. The model is used to study natural space/time variations of springwater calcium ion data from the Dyle River catchment area, Belgium. This dataset is characterized by a spatially nonhomogeneous and temporally nonstationary variability that is quantified by random field parameters, such as orders of space/time continuity and random field increments. A rich class of covariance models is determined from the properties of the random field increments. The analysis leads to maps of continuity orders and covariances reflecting space/time calcium ion correlations and trends. Calcium ion estimates and the associated statistical errors are calculated at unmeasured locations/instants over the Dyle region using a space/time kriging algorithm. In practice, the interpretation of the results of the dynamic stochastic analysis should take into consideration the scale effects.  相似文献   
39.
Random field generators serve as a tool to model heterogeneous media for applications in hydrocarbon recovery and groundwater flow. Random fields with a power-law variogram structure, also termed fractional Brownian motion (fBm) fields, are of interest to study scale dependent heterogeneity effects on one-phase and two-phase flow. We show that such fields generated by the spectral method and the Inverse Fast Fourier Transform (IFFT) have an incorrect variogram structure and variance. To illustrate this we derive the prefactor of the fBm spectral density function, which is required to generate the fBm fields. We propose a new method to generate fBm fields that introduces weighting functions into the spectral method. It leads to a flexible and efficient algorithm. The flexibility permits an optimal choice of summation points (that is points in frequency space at which the weighting function is calculated) specific for the autocovariance structure of the field. As an illustration of the method, comparisons between estimated and expected statistics of fields with an exponential variogram and of fBm fields are presented. For power-law semivariograms, the proposed spectral method with a cylindrical distribution of the summation points gives optimal results.  相似文献   
40.
Simulation of multigaussian stochastic fields can be made after a Karhunen-Loéve expansion of a given covariance function. This method is also called simulation by Empirical Orthogonal Functions. The simulations are made by drawing stochastic coefficients from a random generator. These numbers are multiplied with eigenfunctions and eigenvalues derived from the predefined covariance model. The number of eigenfunctions necessary to reproduce the stochastic process within a predefined variance error, turns out to be a cardinal question. Some ordinary analytical covariance functions are used to evaluate how quickly the series of eigenfunctions can be truncated. This analysis demonstrates extremely quick convergence to 99.5% of total variance for the 2nd order exponential (‘gaussian’) covariance function, while the opposite is true for the 1st order exponential covariance function. Due to these convergence characteristics, the Karhunen-Loéve method is most suitable for simulating smooth fields with ‘gaussian’ shaped covariance functions. Practical applications of Karhunen-Loéve simulations can be improved by spatial interpolation of the eigenfunctions. In this paper, we suggest interpolation by kriging and limits for reproduction of the predefined covariance functions are evaluated.  相似文献   
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