地震信号瞬时频率的估算

本文比较了四类计算瞬时频率的方法.基于相位差分的方法对噪声敏感;基于零交叉点的方法是针对周期信号提出的,对非周期信号效果不理想,通过插值改善估算结果;基于FIR微分器的方法有三种,基于两点的FIR方法与标准公式较为接近,但会引入半个采样间隔的时移;基于三点的FIR方法可以消除时移,但计算结果会出现负频尖峰;Claerbout方法不仅会引入半个采样间隔的时移,而且估算的频率值可能超过Nyqusit频率.本文在Claerbout公式的基础上导出了一种估算瞬时频率的公式,该公式消除了时移,且负频尖峰也得到抑制;基于时频表示一阶矩的方法的计算结果较为平滑,同时具有一定的抗噪能力.最后用本文导出的公式和时频表示一阶矩两种方法计算了南海东北部一条地震剖面的瞬时频率,并将其结果与Seismic Unix中相关函数的计算结果做了比较,表明本文导出公式的计算结果较为理想.     

Bar structure in an arid ephemeral stream

This study describes the structure of gravel bars in Nahal Zin, an ephemeral stream in the Negev desert. The internal structure of the bars was examined along trenches and in shallow pits. Gravel sheets and unit bars form during transporting flow events in the main channel, on intra-bar channels and near bar heads. Unit bars are dominated by the Go facies. Compound bars develop from accretion around, and modification of, unit bars. Compound bars are active under the current flow regime and the average depth of the fill layer is about 35 cm. The structure of compound bars is dominated by Gm (massive), containing large amounts of sand. The second most common facies is clast-supported, openwork, and well sorted sediments of the Go (pebbles) facies. Bar formation, and the development of the range of facies evident in the bars is controlled by sediment supply, particularly the high volumes of sand-sized sediment, the passage of gravel sheets and bedforms during floods, and the lateral and vertical instability of the channel. Repeated scour and fill events have produced a diverse arrangement of facies, with numerous erosional contacts between depositional units. Lateral and downstream shifts in the pattern of scour and fill due to flow and antecedent conditions shape the channel morphology and bar internal structure. Ephemeral river bars differ from those of humid and proglacial rivers in terms of the dominant facies present, the arrangement of the facies within the bars, and the sedimentary structures developed within the depositional units and on the bar surface.     

GSTARS computer models and their applications, Part II： Applications

In part 1 of this two-paper series, a brief summary of the basic concepts and theories used in developing the Generalized Stream Tube model for Alluvial River Simulation （GSTARS） computer models was presented. Part 2 provides examples that illustrate some of the capabilities of the GSTARS models and how they can be applied to solve a wide range of river and reservoir sedimentation problems. Laboratory and field case studies are used and the examples show representative applications of the earlier and of the more recent versions of GSTARS. Some of the more recent capabilities implemented in GSTARS3, one of the latest versions of the series, are also discussed here with more detail.     

Multi-temporal relations between runoff and sediment load based on variable structure cointegration theory

Microscopic and macroscopic multi-temporal correlations between runoff and sediment load were analyzed to reveal the relations between them in the source region of the Yellow River using the complete ensemble empirical mode decomposition with adaptive noise method (CEEMDAN) and cointegration theory. Subsequently, multi-temporal models of runoff and sediment load with structural breaks were developed. The results revealed the following points. (1) The runoff and sediment load relations differed at multi-time scales. Multi-temporal cointegration could reveal the relation between runoff and sediment load at micro scales. (2) A comparison of the original model, composite model 1, and composite model 2 revealed that the multi-temporal cointegration model is better than the original model. (3) The variable structure cointegration model of the runoff and sediment load relation had the highest simulation accuracy, and the smallest average relative error for the simulated runoff was 7.82%. Composite model 2 could more accurately reflect the long-term equilibrium and short-term fluctuating relations between the runoff and sediment load in the source region of the Yellow River.     

福建沿海地区生态农业地质地球化学单元划分

依据稻米、蔬菜样品重金属含量与柑桔品质的变化规律,选择地质背景、土壤pH和SiO23个指标,将福建省沿海地区土壤划分为16类31亚类76属级生态农业地质地球化学单元。生态农业地质地球化学环境对农产品的品质、质量具有重要的影响,单元划分对农业结构调整、土地利用区划具有指导意义。     

基于二维三分量伪谱法模拟数据的EDA介质中横波分裂研究

为了检测定向裂隙介质中横波分裂的方位属性特征,分析地震属性随裂隙密度和方位变化,采用人工吸收边界和反周期扩展边界,用伪谱法获得不同裂隙密度和不同方位地质模型三分量地面记录;应用时频分析和剪切波偏振分析研究由于裂隙方位和密度引起的横波分裂.结果显示,裂隙密度和方位决定着横波分裂的时差和偏振.快慢横波的延迟时间随裂隙密度增大而增加,不同方位相同裂隙密度的横波分裂时差有微小的变化.在45°方位检测时间延迟时间最大.通过时频分析,可以看到不同方位的瞬时主频有显著的变化,在横波分裂处瞬时主频有明显变化.因此,瞬时主频和快横波的偏振以及延迟时间可以作为裂隙方位和密度的指示.     

基于幅频分离的气候时间序列预测试验

从气候波动的瞬时频率与瞬时振幅出发,结合最小二乘支持向量机技术,提出了基于幅频分离技术的气候时间序列预测方法,并对南京地区降水距平进行了30候的预测试验。结果表明,幅频分离预测法能够对所有模态的振幅和高频模态的瞬时频率进行较好的预测,而预测的瞬时频率累积误差会对模态分量的预测距平相关性产生敏感影响,该新方法能够显著提高气候序列高频模态的预测效果。对于气候序列的低频模态分量,集合经验模态分解的边界效应会对瞬时频率的求解产生较大误差,使得序列边界区的幅角计算不准确,导致对低频模态的最终预测效果不理想。对气候序列的高频分量采用幅频分离并进行最小二乘支持向量机预测,而对其低频分量仅采用最小二乘支持向量机进行直接预测,可同时提高高、低频分量的预测效果,并最终提高整个气候序列的预测准确性。该分频预测方法可以使南京降水预测的30候距平相关保持在0.4以上。     

副热带高压及其影响因子的非平稳性检验与协整分析

为分析理解副高活动与其影响因子的关系,引入计量经济学非平稳性检验的思想和方法,对副高脊线、江淮梅雨活动、青藏高压活动及印度季风活动等特征指数序列进行了单位根检验与协整分析。单位根检验的结果表明,副高脊线指数及其3个影响因子均无单位根,具有非平稳性,且都为一阶单整;协整分析结果表明,副高脊线指数与该三个影响因子之间存在协整关系。分析结果有助于深化对气象要素时间序列非平稳性的认识,进而为构建副高特征指数和影响因子之间的内在关联模型提供依据。     

试论桐柏造山带与西大别造山带的对比

根据已有资料探讨了桐柏造山带与西大别造山带的对比。桐柏造山带由6个构造单元组成,西大别造山带可划分为10个构造单元。两个造山带北部的5个构造单元可以完全对比,并可恢复为华北板块南缘的古生代活动性大陆边缘,表明桐柏与西大别曾共同经历扬子板块古生代的俯冲。再向南,熊店—浒湾韧性剪切带中的熊店榴辉岩意味着古生代高压变质作用的存在,但不能划定明确的分布范围和构造单元。而其他中生代高压—超高压岩石以带状和穹窿状分布,在桐柏和西大别地区占据中生代造山带的主体部分,构成可以对比的线状和穹窿状构造单元。桐柏与西大别造山带的结构都是由北部古生代弧陆碰撞造山带和南部中生代高压—超高压折返形成的造山带拼合而成,因此两者都具有古生代和中生代多期造山带的特点。从构造单元和演化阶段方面分析,两个造山带是可以对比的。     

Γ型地貌瞬时单位线探讨

在地貌瞬时单位线中作者假定沿任一“路径”的等待时间密度函数成Γ型分布。本文讨论了Γ型地貌瞬时单位线的推导、参数确定和特点。并取蛇家口、三川口流域的突测资料验证,计算洪峰值和涨洪历时与实测值十分接近。