四川金台子金矿床地质地球化学特征

本文根据四川省石棉县金台子金矿的地质和地球化学特征，对矿床成因进行了讨论，认为：１．成矿早期元素组合显示出与晋宁—澄江期岩浆活动相关的元素特征。主成矿期元素组合反映出与中生代花岗岩相关的元素特征，矿质元素可能主要来源于围岩—花岗岩；２．区域性断裂构造系统渗透的大气降水和地下水在地层、岩石的循环过程中，活化了其中的成矿物质变成含矿热液，在构造扩容带中沉淀成矿；３．成矿时间为２３３．０１±１９．４１Ｍａ，相当于印支运动晚期。     

火山岩熔融,结晶,淬火实验及其岩石学意义

本文对我国福建，江西，河南等地某些典型玄武岩和部分安山岩以及意大利威苏维火山的白响岩质碱玄岩进行了实验研究，其中包括熔融，结晶，淬火实验。根据实验结果，分析了熔浆成分对首晶矿物的影响，阐明了晶体形态与结晶温度，生长速度及成核密度的关系，研究了斜长石，白榴石的晶出及其矿物学，岩石学意义，论述了橄榄石，辉石的成分特生上春晶出后熔浆成分的演化趋势，讨论了单斜辉石的淬火效应与压力效应。     

开发利用地理信息系统(GIS)综合分析地学信息进行矿产预测

众所周知,矿产资源预测是综合地学信息,进行优选靶区的有效手段之一。随着地学工作的深入和勘探技术的发展,已获取了大量的多源地学信息,如地质、地球物理、地球化学和遥感等资料。怎样从这众多的资料中提取有用信息进行综合分析,达到矿产资源预测的目的,一直是地学界探索的课题。过去,应用人工的方法来进行此项工作,不但费力、投资大,而且难以达到预期的效果,方法技术也不利于推广。如今,高速、高质量的计算机已趋于普及,使应用计算机技术高效地处理堆积如山的资料成为可能,尤其是近些年发展起来的地理信息系统(GIS),为综合处理地学资料的矿产资源预测的方法技术,开拓了广阔的前景。地理信息系统是一种计算机系统的应用软件,它集数据库管理和图像分析技术为一体,以空间数据迭加分析为重要特征。地学工作者进行矿产资源预测时,通常是从多源地学资料中提取有用信息,再应用专家知识,结合数学方法,如逻辑运算、贝叶斯(Bayes)规则等,建立预测模型,以模型的推理网格为线索,利用地理信息系统有效的空间分析手段,把各种证据图层综合迭加,最终产生以概率为指标的矿产资源预测图,高概率指示有利的矿产资源远景区,可作为勘探者和决策者进行勘查规划的依据。     

探地雷达技术及其应用和发展

作者对近年来探地雷达的技术发展及新的应用研究进行了概括和总结。在详细分析探地雷达方法原理、系统结构的基础上,提出了改进探地雷达系统结构的思路;同时,针对探地雷达工作中的高噪声和地震数据处理技术移植的不适应性,提出了探地雷达地下界面高分辨率成像的新方法。     

Relocation of the October 9, 1505 Earthquake with M63/4

There have been 12 possible locations of the earthquakes occurring in the South Yellow Sea since 1505.In this paper,the location of the earthquake that occurred in 1505 has been determined by the collection of more historical data of the influenced field,referring the isoseismal data of earthquakes with the epicentral intensityⅨ and combining geophysical field data with tectonic condition,due to its great influence on seismic safety assessment of some significant engineering.     

云南岩石圈热结构

本文探讨了云南深部热流及岩石圈地温分布的横向变化特征，并将岩石圈热结构概括为３种类型；典型现代构造活动区热结构，中间过渡型地质区热结构和稳定地质区热结构。最后，简单讨论了地热与地震活动的关系。     

成都粘土裂隙成因研究

根据成都粘土中裂隙特征与地质环境条件的分析，提出成都粘土中途中眩要裂隙类型的成因模式，上升剥蚀引起的垂向卸荷作用产生波状水平裂隙，冲沟切割引起的侧向卸荷作用，产生平行斜列隙裂。     

碎石桩复合地基抗液化设计方法的分析

对碎石桩复合地基抗液化设计方法进行了分析评价 ,并对施工技术作了介绍。基于复合地基抗地震液化作用的分析 ,提出一种合理的抗液化设计方法 ,该方法能够体现碎石桩复合地基的加密、排水和减震三方面的抗地震液化作用。     

Seismotectonic environment of occurring the February 3, 1996 Lijiang M=7.0 earthquake, Yunnan Province

Lijiang-Daju fault, the seismogenic fault of the 1996 Lijiang M=7.0 earthquake, can be divided into Lijiang-Yuhu segment in the south and Yuhu-Daju segment in the north. The two segments show clear difference in geological tectonics, but have the similar dynamic features. Both normal dip-slip and sinistral strike-slip coexist on the fault plane. This kind of movement started at the beginning of the Quaternary (2.4～2.5 Ma B.P.). As to the tectonic types, the detachment fault with low angle was developed in the Early Pleistocene and the normal fault with high angle only after the Mid-Pleistocene (0.8 Ma B.P.). Based on the horizontal displacements of gullies and the vertical variance of planation surfaces cross the Lijiang-Daju fault at east piedmont of Yulong-Haba range, the average horizontal and vertical slip rates are calculated. They are 0.84 mm/a and 0.70 mm/a since the Quaternary and 1.56 mm/a and 1.69 mm/a since the Mid-Pleistocene. The movements of the nearly N-S-trending Lijiang-Daju fault are controlled not only by the regional stress field, but also by the variant movement between the Yulong-Haba range and Lijiang basin. The two kinds of dynamic processes form the characteristics of seismotectonic environment of occurring the 1996 Lijiang earthquake.     

Seepage driving effect on deformations of San Fernando dams

In the process of flow deformation of an earth dam, the seepage force inside the dam plays a role as a driving force. The seepage force acts just like the gravitational force in terms of pushing soils away from their original locations after liquefaction is triggered. This paper draws attention to this seepage driving effect by presenting a set of fully coupled finite element analyses on the well-known San Fernando dams, with the objective of evaluating the impact of this seepage effect. The results indicate that while this effect is always there, its practical significance depends on a number of factors. In the case of the upper San Fernando dam, which experienced a significant, but restricted, downstream movement during the 1971 earthquake, the seepage driving effect was indeed significant. On the contrary, for the lower dam, which failed and slid into the upstream reservoir during the same earthquake, this seepage effect was relatively less pronounced. The detailed results of the analyses reveal the likely mechanisms of failure and deformation of the two dams and the likely cause behind the difference between their responses during the earthquake.