石家庄地区干热风年型指标分析及统计预测模型

本文提出的干热风综合指数(DHW)能反映某时期内干热风日数累积影响和干热风强度的瞬时影响,还可用来划分重、轻、无干热风年型指标。并采用岭回归方法组建DHW预测模式,其试报结果较好,克服了文献[1]的某些不足。     

浙江象山海滩岩的发现及其意义

作者于浙江象山爵溪首次发现了全新世海滩岩,并对其岩石学特征、同位素年龄、形成环境等进行了初步研究。爵溪海滩岩目前是我国分布位置最北的全新世海滩岩,据14C年龄测出该地3400多年来海岸的相对沉降速率为0.51mm/a     

普陀山全新世陆相地层的发现及其意义

作者在普陀山发现分布于现代海平面以上的全新世陆相地层,为研究全新世沉积环境、海岸线变迁、新构造活动等提供了重要资料。     

1988年9月张掖地区的太阳辐射状况的初步分析

1988年8～9月,在河西走廊的化音和张掖地区进行了一次预备性观测实验。本文利用预备观测中所取得的少量资料,分析了干旱地区太阳辐射各个分量和太阳分光谱辐射的一些气候学特征。结果表明:该地区秋季大气透明度较好;光资源充足;兰紫光在总辐射中所占比例较大;地表净辐射具有平原地区的特征,其值介于平原与高原地区之间。     

孔隙尺度多孔介质流体流动与溶质运移高性能模拟

深入探究孔隙尺度下的流体流动特性和溶质运移规律对石油开采、农田养分管理、地下水污染修复有着重要意义。以人工构建的多孔介质结构和同步辐射X射线显微CT扫描的土壤团聚体（分辨率3.7 μm）为研究对象，在空间节点数多达64 000 000的情况下，基于格子Boltzmann模型和GPU并行技术计算得到多孔介质流体运动和溶质运移过程的关键参数，并据此探究多孔介质空间异质性对水力学特性的影响。通过对3组不同结构的多孔介质比较发现，结构复杂程度最高的土壤样品和不规则堆叠的圆球结构的渗透率在100 mD（即10^-13m²）量级，远低于规则堆叠的圆球结构（>20 000 mD）；土壤的迂曲度为1.40~1.60，明显高于规则堆叠的圆球结构。研究结果表明，渗透率大的样品具有较小的迂曲度，这与结构的空间异质性有较强的关系；土壤的渗透率和迂曲度呈现各向异性；在水力梯度一定的前提下，渗透率较大的样品，纵向弥散系数也较大；同时，结构的异质性也会影响溶质的穿透曲线。本研究提出的模拟方法可在土壤结构中进行高效的水流运动和溶质运移模拟，可用于土壤多孔介质在孔隙尺度下的水力学特性研究。     

322矿田花岗岩与铀矿床的同位素研究

本文应用同位素地质方法研究322矿田内花岗岩的年龄和成因、成矿热液和成矿物质来源等问题。研究表明,矿田内的成矿母岩为改造型花岗岩,其Rb-Sr同位素年龄为198.8Ma,成矿热液来自花岗岩结晶矿物颗粒间和裂隙中的溶液以及大气降水。成矿物质主要来自花岗岩,部分也来自岩体周围的寒武系地层。     

细胞自动机的多重分形特征和动力学根源

用大量弹簧滑块组成的模型可以模拟地震的复杂性,本文以细胞自动机(CA)为数学工具,结合地震学和岩石力学的结果,考虑了能量的输入和损耗,进行了地震事件的数字模拟。对模型中输出的"地震"事件进行了时间和空间的多分形分析,并对自组织临界(SOC)状态进行了讨论,进而得到事件至少在时间域里的分布呈现出层次结构,符合自相似特征。本文的CA模型属于确定性的混沌系统,而对于处在SOC状态下的大量事件的频度和大小的统计与G-R指数律很好地吻合。结果表明,虽然自组织(SO)可能是更准确的地震表征,但SOC仍然是研究地震现象的很好的模式。     

Narrowband dm-spikes in the 2 GHz frequency range and MHD cascading waves in reconnection outflows

Two examples of clouds of narrowband dm-spikes, observed by the Ondejov radiospectrograph in the 1–2 GHz frequency range, are analyzed. After transformation of the frequency scales to distances in the solar atmosphere, the power spectra analysis of size scales reveals a spectral index of –5/3, resembling that of Kolmogorov spectra of turbulent cascades. The narrowband dm-spikes are interpreted as radio emission from electrons accelerated in MHD cascading waves, probably generated in plasma outflows from magnetic field reconnection.     

Spiral filaments — The signature of singular points in a large delta spot

A large delta spot (active region NOAA 6891, October 23 – November 4, 1991) is analysed, and it is found that some spiral filaments across the spot can be regarded as signatures of a singular point entity (SPE) which lies near a separator of this complicated magnetic field region. Near such an entity, 86% of the flares in the region were produced, including two white-light flares, one of which, being the largest flare of the region, was accompanied by a powerful mass ejection. In an island delta spot, a SPE could be recognized very close to the usual U-shaped inversion lines. Together with the other characteristics (bright H emission, highly sheared magnetic field, umbra obscured by H, magnetic flux imbalance in the range 21–31), the SPE can help us to predict effectively the sites for great flares to occur (Zirin and Liggett, 1987).On leaving from Purple Mountain Observatory, Nanjing, China.     

Matched field localization based on CS-MUSIC algorithm

The problem caused by shortness or excessiveness of snapshots and by coherent sources in underwater acoustic positioning is considered. A matched field localization algorithm based on CS-MUSIC (Compressive Sensing Multiple Signal Classification) is proposed based on the sparse mathematical model of the underwater positioning. The signal matrix is calculated through the SVD (Singular Value Decomposition) of the observation matrix. The observation matrix in the sparse mathematical model is replaced by the signal matrix, and a new concise sparse mathematical model is obtained, which means not only the scale of the localization problem but also the noise level is reduced; then the new sparse mathematical model is solved by the CS-MUSIC algorithm which is a combination of CS (Compressive Sensing) method and MUSIC (Multiple Signal Classification) method. The algorithm proposed in this paper can overcome effectively the difficulties caused by correlated sources and shortness of snapshots, and it can also reduce the time complexity and noise level of the localization problem by using the SVD of the observation matrix when the number of snapshots is large, which will be proved in this paper.