大陆岩石圈导电性的研究方法

随着地球科学的进展 ,大陆岩石圈导电性结构的研究越来越引起人们的重视 ,而超宽频带大地电磁测深则是目前用于探测岩石圈导电性最有效的地球物理先进技术。它把现代性能优良的宽频带大地电磁系统 (MT 2 4NS或V5 2 0 0 0 )与长周期智能化大地电磁系统 (LIMS)配套使用 ,采集地面上频率范围为n× 10 -4～n× 10 2 Hz的天然电磁场信号 ,并通过一系列数据处理和反演计算 ,获得深达下地壳和上地幔的地下导电性结构模型。此模型不仅可以提供有关岩石圈地质构造轮廓的信息 ,更重要的是可以间接反映现今地下深部的热结构特征和物质状态分布特点。多年来 ,应用超宽频带大地电磁测深对青藏高原岩石圈导电性结构的研究表明 ,高原的中、下地壳确实是良导电性的 ;它可能说明西藏地壳中普遍存在岩石的局部熔融 ,或地热流体。沿着应县—商河剖面的大地电磁测深研究结果从电性的角度证明了太行山山前断裂为一组向东倾斜的深断裂 ,华北地区岩石圈以其为界划分为东、西两区 ;东区为低阻区 ,与构造活动区的岩石圈导电性特征相符 ;西区为高阻区 ,表现出稳定大陆区岩石圈导电性结构的特点。     

可可西里——东昆仑活动构造带强震活动研究

青海昆仑山口西 8.1级地震发生在具有新生性特征的可可西里—东昆仑活动断裂带上。该断裂带在 190 0年以来的 10 0多年中经历了一个强震活动过程。在该强震活动过程中 ,地震沿整个可可西里—东昆仑活动构造带分段破裂 ,强震的破裂长度和震级之间大致满足对数线性的统计关系 ,强震活动呈现指数型时间分布的加速特征。这种强震加速活动特征可以用含多个震源体的孕震系统的强震成组活动模型给予解释。     

GPS技术应用于中国地壳运动研究的方法及初步结果

文中主要就中国利用GPS等空间测地资料研究地壳运动、构造变形 ,以及用于地震预测探索方面 ,从方法技术和近年来取得的一些初步结果进行了概要性论述。介绍了利用GPS技术资料研究地壳水平运动速度场、水平应变场、建立地壳运动模型等方法研究的进展。由GPS观测给出的地壳水平运动初步结果表明 :中国大陆现时水平运动在全球参考系中为整体向东 ,并兼有顺时针扭转运动。西部地区构造形变强烈 ,整个青藏块体及其边界带 ,以及新疆西部是应变值最高的区域 ,水平应变场主压应变优势分布方向为近NE向 ,空间差异显著 ,反映了印度板块碰撞推挤和青藏块体强烈构造运动的影响。中国大陆东部水平运动的差异性不显著。强震分布于地壳运动的大小、方向显著变化的区域 ,大地震通常发生在水平剪应变高值区或其边缘 ,尤其是与区域主干断裂的构造活动背景相一致的剪应变率高值区。     

金矿测年方法讨论及定年中存在的问题

准确的成岩成矿年代测定是矿床研究和对比的基础。然而近几年来 ,不同的研究者对同一矿床采用不同的定年方法得出了相差十分悬殊的成岩成矿年龄的报道屡见不鲜。为此笔者在分析了不同定年方法适用性的同时 ,强调了在金矿定年中要加强对金矿成岩成矿地质背景的研究 ,重视不同地质体与成矿的先后关系 ,确定标志性地质体 ,选择合适的定年方法 ,测定标志性地质体和矿体的成岩成矿年代 ,使成岩成矿年代互为限定 ,得到高质量的年代学数据。     

电子探针化学测年方法

介绍含Th U Pb矿物电子探针化学测年方法的基本原理 ,并利用应用实例说明该方法在研究岩石形成年龄、构造热事件年代等方面的重要作用 ,最后简要评价该方法的优、缺点 ,并指出它的应用前景 ,认为电子探针化学测年方法将有可能在深源岩石包体年龄研究、含放射性元素矿床形成年代研究等方面大有作为 ,并使地质年代学研究更加精细化 ,有助于深入探讨复杂地质事件及其演化历程。     

Synthesis of zeolites using fly ash and their application in removing heavy metals from waters

Fly ash is the solid waste of thermal power plants where coal is used as fuel, and its management and utilization have been of environmental concern for decades. Since the technique of synthesizing zeolite from coal fly ash was introduced by Holler[1] (19…     

Asymmetric one‐storey elastic systems with non‐linear viscous and viscoelastic dampers: Simplified analysis and supplemental damping system design

Investigated is the accuracy in estimating the response of asymmetric one‐storey systems with non‐linear viscoelastic (VE) dampers by analysing the corresponding linear viscous system wherein all non‐linear VE dampers are replaced by their energy‐equivalent linear viscous dampers. The response of the corresponding linear viscous system is determined by response history analysis (RHA) and by response spectrum analysis (RSA) extended for non‐classically damped systems. The flexible and stiff edge deformations and plan rotation of the corresponding linear viscous system determined by the extended RSA procedure is shown to be sufficiently accurate for design applications with errors generally between 10 and 20%. Although similar accuracy is also shown for the ‘pseudo‐velocity’ of non‐linear VE dampers, the peak force of the non‐linear VE damper cannot be estimated directly from the peak damper force of the corresponding linear viscous system. A simple correction for damper force is proposed and shown to be accurate (with errors not exceeding 15%). For practical applications, an iterative linear analysis procedure is developed for determining the amplitude‐ and frequency‐dependent supplemental damping properties of the corresponding linear viscous system and for estimating the response of asymmetric one‐storey systems with non‐linear VE dampers from the earthquake design (or response) spectrum. Finally, a procedure is developed for designing non‐linear supplemental damping systems that satisfy given design criteria for a given design spectrum. Copyright © 2003 John Wiley & Sons, Ltd.     

Inelastic displacement ratios for evaluation of existing structures

Results of a detailed statistical study of constant relative strength inelastic displacement ratios to estimate maximum lateral inelastic displacement demands on existing structures from maximum lateral elastic displacement demands are presented. These ratios were computed for single‐degree‐of‐freedom systems with different levels of lateral strength normalized to the strength required to remain elastic when subjected to a relatively large ensemble of recorded earthquake ground motions. Three groups of soil conditions with shear wave velocities higher than 180m/s are considered. The influence of period of vibration, level of lateral yielding strength, site conditions, earthquake magnitude, distance to the source, and strain‐hardening ratio are evaluated and discussed. Mean inelastic displacement ratios and those associated with various percentiles are presented. A special emphasis is given to the dispersion of these ratios. It is concluded that distance to the source has a negligible influence on constant relative strength inelastic displacement ratios. However, for periods smaller than 1s earthquake magnitude and soil conditions have a moderate influence on these ratios. Strain hardening decreases maximum inelastic displacement at a fairly constant rate depending on the level of relative strength for periods of vibration longer than about 1.0s while it decreases maximum inelastic displacement non‐linearly as the period of vibration shortens and as the relative‐strength ratio increases for periods of vibration shorter than 1.0s. Finally, results from non‐linear regression analyses are presented that provide a simplified expression to be used to approximate mean inelastic displacement ratios during the evaluation of existing structures built on firm sites. Copyright © 2003 John Wiley & Sons, Ltd.     

Absence of Archean basement in the South Kunlun Block: Nd-Sr-O isotopic evidence from granitoids

Abstract   The West Kunlun mountain range along the northwestern margin of the Tibetan Plateau is crucial in understanding the early tectonic history of the region. It can be divided into the North and South Kunlun Blocks, of which the former is considered to be part of the Tarim Craton, whereas consensus was not reached on the nature and origin of the South Kunlun Block. Samples were collected from the 471 Ma Yirba Pluton, the 405 Ma North Kudi Pluton and the 214 Ma Arkarz Shan Intrusive Complex. These granitoids cover approximately 60% of the Kudi area in the South Kunlun Block. Sr, Nd, and O isotope compositions preclude significant involvement of mantle-derived magma in the genesis of these granitoids; therefore, they can be used to decipher the nature of lower–mid crust in the area. All samples give Mesoproterozoic Nd model ages (1.1–1.5 Ga) similar to those of the exposed metamorphic complex of this block but significantly different from those of the basement of the North Kunlun Block (2.8 Ga). This indicates that the South Kunlun Block does not have an Archean basement, and, thus, does not support the microcontinent model that suggests the South Kunlun Block was a microcontinent once separated from and later collided back with the North Kunlun Block.     

Landslide susceptibility analysis using GIS and artificial neural network

The purpose of this study is to develop landslide susceptibility analysis techniques using an arti?cial neural network and to apply the newly developed techniques to the study area of Yongin in Korea. Landslide locations were identi?ed in the study area from interpretation of aerial photographs, ?eld survey data, and a spatial database of the topography, soil type and timber cover. The landslide‐related factors (slope, curvature, soil texture, soil drainage, soil effective thickness, timber age, and timber diameter) were extracted from the spatial database. Using those factors, landslide susceptibility was analysed by arti?cial neural network methods. The landslide susceptibility index was calculated by the back‐propagation method, which is a type of arti?cial neural network method, and the susceptibility map was made with a geographic information system (GIS) program. The results of the landslide susceptibility analysis were veri?ed using landslide location data. The validation results showed satisfactory agreement between the susceptibility map and the existing data on landslide location. A GIS was used to ef?ciently analyse the vast amount of data, and an arti?cial neural network to be an effective tool to maintain precision and accuracy. The results can be used to reduce hazards associated with landslides and to plan land use and construction. Copyright © 2003 John Wiley & Sons, Ltd.