中国矽卡岩矿床找矿新进展和时空分布规律

近年来,中国矽卡岩矿床找矿取得了很大的新进展:西藏冈底斯成矿带和班公湖-怒江成矿带发现和探明了十余个大中型矽卡岩铜、金多金属矿床;在青海西部祁漫塔格成矿带发现和探明了不少铁多金属矽卡岩矿床;在东部地区发现和探明了一批大型隐伏的矽卡岩矿床,如河北白涧铁矿床、江西朱溪钨多金属矿床、湖南锡田锡钨矿床、福建上房钨矿床等。在新疆西天山发现和探明了一批大(中)型与火山-侵入活动有关的矽卡岩铁矿床。另外,在新疆发现白干湖、沙沟等大型钨矿床,在甘肃也发现和探明了大型钨矿床。学者们对上述矿床进行了较详细的研究。中国主要矽卡岩矿床最新同位素测年资料表明,矽卡岩矿床的生成时代从元古宙、古生代、中生代到新生代都有,但最重要的成岩成矿期是中生代的燕山期。在空间分布上,赵一鸣等(1990)曾划分出14个重要的矽卡岩成矿带,通过广大地质工作者的努力,在西藏、新疆和青海等省(区)找矿工作的重大进展,又新增4个矽卡岩成矿带,即西藏冈底斯成矿带、班公湖-怒江成矿带、青海祁漫塔格成矿带和新疆西天山成矿带。     

新疆北天山中长期地震活动形势分析

在收集全天山尽可能完整的地震目录资料和进行较为科学的天山地震活动分区的基础上，按照从大区到小区、从整体到局部的层次性分析思路，分析了新疆北天山地震活动的阶段性及关联性特征，并进行了b值外推和应变能累积预测分析，估计了新疆北天山强震发生的累积概率和马尔柯夫概率，从而对新疆北天山未来3－10年的中长期地震活动形势提出了分析预测意见。     

山东省鄄城陨石中的金属矿物及组构特征

1997年降落在山东省鄄城县的陨石雨,是橄榄石-古铜辉石球粒陨石。该陨石中的金属矿物主要为铁纹石和陨硫铁,其次为镍纹石,金属矿物呈填隙状分布于以橄榄石和古铜辉石为主的硅酸盐矿物粒间及球粒周围。陨石中可见由铁纹石和镍纹石组成的显微蠕虫状连晶,是陨石中金属矿物在降温冷却过程中发生固溶体分离作用而成。陨石中金属矿物的分布特征表明,金属Fe-Ni和硫化物（FeS）应该是星云凝聚不同阶段的产物。陨石中金属矿物的成分和组构特征及陨石中出现的球粒结构、橄榄石的炉条结构等特征表明,该球粒陨石是星云物质快速冷却的产物。     

Time-Variations of D-Region Electron Densities, and Comparisons With Model Computations

An extensive series of incoherent scatter studies of the ionospheric D-region was carried out at the Arecibo radar facility during 1978 and 1979. They included several full-day sequences of electron density measurements over a range of altitudes, and also included a sequence during the serendipitous occurrence of a large solar flare. For the solar flare event simultaneous data on solar X-ray fluxes in several wavelength bands were available from the GOES-2 and ISEE-3 satellites. In the course of development of a large ionospheric computer model at Los Alamos we have used the solar flare data as a reality check. The solar X-ray flux data were used as inputs for computing ionization rates. The model computer includes 999 chemical reactions, and also includes diffusion and transport processes. In the course of the flare studies we used the data comparisons to adjust the values of three chemical rate coefficients that were poorly known. With those adjustments the model computations fitted the data quite well. Subsequent to the flare analysis we have been using the same model with some minor updates to compute the expected diurnal variations of the ambient D-region under conditions chosen to match those existing at the times of the incoherent scatter measurements. Comparisons of the computations and the data will be shown, and the relative importance of the several separate ionization processes will be discussed. We also compare model results with experimental data on concentrations of NO.     

Modelling linear wave transformation induced by dissipative structures—Random waves

The relevant theory is presented and numerical results are compared with the analytical solution for the interaction of non-breaking waves with an array of vertical porous circular cylinders on a horizontal bed. The extension to the cases of unidirectional and multidirectional waves is obtained by means of a transfer function. The influence of the mechanical properties of porous structures and wave irregularity on wave transformation is analysed. Results for unidirectional and multidirectional wave spectra are compared to those obtained for regular waves. The model presented reproduces well the analytical results and provides a tool for analysing several engineering problems.     

深圳湾海域表层和柱样沉积物中的重金属分布特征

分析深圳湾表层沉积物中锌、铬、镉、镍、铅、铜等6种重金属元素的含量发现它们的浓度均值已全部超过广东省海岸带沉积物背景值。根据潜在生态危害法,在6种重金属中镉造成的污染最严重,从潜在的生态危害指数评价看镉的含量已达到很高的污染水平。从面状分布看,重金属污染危害指数值在深圳河口区最低,在蛇口段居中等水平,在深圳湾内侧的近岸水域最大。柱样沉积物的浓度变化以1950年为界划分为两部分:1950年以来的现代沉积物中有较强的人类活动干扰痕迹,表现为重金属元素的浓度增长幅度大,且浓度很高,其均值全部大于广东省海岸带的背景值;1950年以前的近代沉积物中有稍弱的人类活动干扰痕迹。研究认为沉积物粒度特征、沉积速率、人类活动与重金属在沉积物中的浓度高低有直接相关关系,并直接影响到重金属在沉积物中的污染水平。     

基于GIS和洛伦兹曲线的辽宁省海岛空间分布特征探析

为合理开发利用和保护辽宁海岛资源,优化海岛产业结构和布局,以辽宁纳入中国海域海岛标准名录的633个海岛为研究对象,在对其地理坐标、陆域面积等基础数据进行数理统计的基础上,通过GIS的空间分析和绘制洛伦兹曲线、计算基尼系数,对辽宁海岛的空间分布特征进行了分析与研究。结果表明:辽宁海岛属集聚型分布类型,在空间上呈组团与带状分布,按聚集程度来看,形成了黄海北部长山群岛集聚区、辽东半岛南部浅海集聚带与辽东湾西部浅海集聚带三个区域;约60%的海岛处在离大陆岸线直线距离在10 km以内的范围内,近陆程度高;海岛陆域面积分布不均衡,基尼系数达0.9。     

First arrival cycle-based calculation methods of in situ sound speed and attenuation in sediments

The acoustic properties of seafloor sediments are of great importance in geoacoustic modeling, detecting, and oceanic engineering. The methods based on the first arrival cycle are investigated to calculate sound speed and attenuation of sediment more precisely in in situ measurements. The comparison of different data analysis methods based on the first arrival cycle approach for in situ measurement results in the following conclusions: (1) the calculated methods can help find the effective cycles and reduce the errors in calculating sound speed and attenuation; (2) using this approach, the point judgment method-based data analysis has the same effectiveness as the cross-correlation method-based data analysis in calculating group sound speed and has the same effectiveness in calculating attenuation in the time domain as the spectrum analysis method-based data analysis has in calculating attenuation in frequency domain; and (3) measurement in water can help not only calibrate the transmitting distance but also can calculate the time delay for the sound speed and the attenuation loss in the transmitting process. Finally, theoretical calculation was used to calculate the measured results, indicating a good agreement, which supports that first arrival cycle-based calculated methods can be used to analyze the measured data and the effective density fluid model can be used to analyze more acoustic properties and invert several physical properties in this experiment.