自调节趋势分析法

自调节趋势分析法的特点是:能自动消除局部成分对计算拟合区域成分的多项式的系数的影响,并能确定多项式的阶次,因而在地学数据处理及预测中有广泛的应用。     

相干和方差数据体的算法研究及应用

研究了相干数据体的C3算法以及方差数据体算法,编制开发了利用相干和方差数据体技术进行地震资料处理的数据处理系统,利用相干和方差数据体的时间切片和顺层切片来分析相邻道地震信号的相似性,进而探测小断层和分析地质构造.通过对实际资料的分析解释可以看出,相干和方差数据体技术对断层解释是非常有效的,可以提高解释精度,缩短勘探周期.     

Hierarchical decomposition of variance with applications in environmental mapping based on satellite images

A quadtree-based image segmentation procedure (HQ) is presented to map complex environmental conditions. It applies a hierarchical nested analysis of variance within the framework of multiresolution wavelet approximation. The procedure leads to an optimal solution for determining mapping units based on spatial variability with constraints on the arrangement and shape of the units. Linkages to geostatisiics are pointed out, but the HQ decomposition algorithm does not require any homogeneity criteria. The computer implementation can be parameterized by either the number of required mapping units or the maximum within-unit variance, or it can provide a spectrum of significances of nested ANOVA. The detailed mathematical background and methodology is illustrated by a salt-affected grassland mapping study (Hortobágy, Hungary), where heterogeneous environmental characteristics have been sampled and predicted based on remotely sensed images using these principles.     

建立适应会计电算化发展要求的内部控制制度

会计电算化是会计工作的发展趋势,文章主要分析会计电算化对内部控制制度的影响,并以此为基础探讨关于电算化会计信息系统下的内部控制制度建设问题,以确保企业实行会计电算化后,系统能够正常、安全、有效的运行。     

浅谈三因素方差分析在评价化探数据质量中的应用——以盐源县马思罗金矿土壤化探分析数据为例

三因素方差分析是对分析数据质量合格与否的一种有效检验方法.它可以对元素的自然变化,采样、重复分析的系统误差,偶然误差等进行定量的评价.应用以三因素方差分析基本原理为基础,运用盐源县马思罗金矿土壤化探分析数据为实例,查证了分析数据的可靠性,为正确的指导化探找矿、加速矿权评价奠定了基础.     

浦城地区火山岩型铀成矿远景预测

本文根据浦城地区的成矿地质条件,利用信息量法、逻辑矢量长度法和逻辑矢量长度加权法,在已有成矿地质模型的基础上,筛选出有利的地质变量。根据地质变量对成矿的贡献大小,建立评价模型,圈出有利成矿区。经地质评价,认为各有利成矿区成矿条件有利,有较大的找矿前景。     

山东水资源分析及趋势预测

通过分析近３９年山东省水资源的历史倾向性、阶段性、周期性,研究了水资源总量及径流量和地下水位的变化特征。结果表明,山东水资源量的年际变化大且呈快速下降态势,其中,地表径流量的下降尤为明显;水资源的变化存在一定的阶段性和周期性。通过分析降水与水资源的关系,发现两者的变化规律一致,但降水对水资源,特别是对地下水分量的影响有一定的持续性。建立均生函数预测模型,对未来水资源总量进行预测显示,１９９８￣２０     

EMD方法在广西夏季降水量预测中的应用

对广西夏季降水量进行EMD分解后,利用均生函数相关法,比较不同IMF分量组合建模的预测,不同组合试验预测显示,用前二个IMF分量组合建模预测是最佳的组合方案。经对2001—2010年共10年广西夏季降水量实际预测检验表明,趋势预测准确率达70%以上,对夏季降水量预测较有参考价值。为基层台站的气候预测及服务提供一个客观预测方法。     

Nonlocal period parameters of frequency content characterization for near-fault ground motions

This paper focuses on the frequency property analysis of near-fault ground motions with and without distinct pulses, separately from the Chi-Chi and Northridge earthquakes. Ten scalar period parameters of ground motions, especially several nonlocal period parameters, are considered. Two new nonlocal parameters, namely the mean period of Hilbert marginal spectrum (T_mh) and the improved characteristic period (T_gi), are suggested. Moreover, comprehensive comparison and analysis indicate that T_mh, T_gi and T_avg (average spectral period) can distinguish the low-frequency components of near-fault ground motions; T_m (mean period of Fourier amplitude spectrum) and T_o (smoothed spectral predominant period) represent the moderate- and high-frequency components, respectively. The variance coefficient of predominant instantaneous frequency of Hilbert spectrum (H_cov) can be regarded as an alternative index to measure the non-stationary degree of near-fault ground motions. Finally, the velocity pulses and earthquake magnitude remarkably affect the frequency parameters of near-fault ground motions. Copyright © 2012 John Wiley & Sons, Ltd.     

A Lagrangian stochastic model for the trajectories of particle pairs and its application to the prediction of concentration variance within plant canopies

A simple Lagrangian stochastic model for the trajectories of particle pairs in high Reynolds-number turbulent flows is presented. In this model, the velocities of particle pairs are initially correlated but subsequently each particle moves independently. The independent single-particle trajectories are simulated using Thomson's model [J. Fluid Mech. 180, 529–556, 1987]. This two-particle model exactly satisfies the well-mixed condition for Gaussian turbulence when length scales, characterizing the two-point Eulerian velocity correlation function, vanish. Temperature variances, due to heat released as a passive scalar from an elevated plane source, within a model plant canopy (Coppin et al. Boundary Layer Meteorol. 35, 167–191, 1986) are shown to be well predicted by the model. It is suggested that for strongly inhomogeneous flows, the two-point Eulerian velocity function is of secondary importance in determining the simulated trajectories of particle pairs compared to the importance of ensuring satisfaction of the two-to-one constraint (Borgas and Sawford. J. Fluid Mech. 279, 69–99, 1994); i.e ensuring that one-particle statistics obtained from the two-particle model are the same as those obtained from the corresponding one-particle model. Limitations of this modelling approach are discussed.