昆仑山口西8.1级地震孕育演化的阶段性初步研究

按时间的顺序,将2001年昆仑山口西8．1级地震前的地球物理场转折、中强地震图像演化、周缘动力环境变化、震时的同震变化、震后的地震活动响应与前兆场的调整、5级以上地震的持续平静等过程衔接起来,划分出了该次巨大地震震前、震时、震后的5个不同演化阶段。     

昆仑山口西8.1级地震后青藏高原北部地区地震活动初步研究

利用相关震例分析了昆仑山口西8．1级地震后青藏高原北部地区未来1～3年地震活动特征．结果表明,沿东昆仑构造带及邻近地区发生Ms≥7．0地震后青藏高原北部地区中强地震活动有增强的趋势,祁连山地震带和东昆仑地震带的地震活动具有交替发生的特征,未来1～3年中强地震主体活动区为大型走滑活动断裂上应力转换部位和挤压会聚构造区,如东昆仑断裂带中东段和祁连山地震带中东段和西段。     

新疆伽师强震群强震主破裂面走向初探

1997年1月21日-1998年8月27日新疆伽师发生了包含9次6级地震的强震群,震源机制解表明有NE向和NW向两个节面．有观点认为主破裂面为NNW向．本通过数字地震台阵的余震序列精确定位、震源破裂过程及滑动方向、震群空间分布图像、地震烈度等震线长轴走向和微、宏观震中动态变化方向等多种方法分析后,综合判定9次6级地震的主破裂面走向极可能为北东方向．     

岫岩-海城5.4级地震前小震震源机制解与记录特征分析

采用Pn、Pg初始波初动符号，利用乌尔夫网上半球投影，用作图方法求解了岫岩－海城震区（1999年1月－1999年11月29日）主震前辽宁数字地震台网记录（ML≥2.5)的41个小震的震源机制参数。结合前震记录的某些特征，对主震前应力方向的时空变化，震源错动性质进行分析和讨论。     

TDP-0844地震前兆数据综合采集器的研制

介绍了TDP—0844型地震前兆数据综合采集器采用的设计方案及工作原理，及各个功能模块的设计准则，并列出了采集器实现的功能。文章还给出了采集器的部分应用图例，证明该采集器能够满足地震前兆观测需要。     

实现数据库管理震源参数的探索

就如何利用数据库，结合Java、XML等手段对震源参数管理进行了一些探索，并给出了一些在一个实际系统中实现了的例子。     

邛崃4.5级地震与震后趋势判断

邛崃地震发生后，成都市地震局很快做出反应，及时开展了地震考察并做出了正确的震后趋势判断，取得了较好的社会效益。     

Multi‐variable relations for soil effects on seismic ground motion

Soil effects on peak ground acceleration, velocity and elastic response spectra (5% damping) are expressed by simple approximate relations in terms of five key parameters: (a) the fundamental vibration period of the non‐linear soil, T_S, (b) the period of a bedrock site of equal thickness, T_b, (c) the predominant excitation period, Te, (d) the peak seismic acceleration at outcropping bedrock, a, and (e) the number of significant excitation cycles, n. Furthermore, another relation is proposed for the estimation of T_S in terms of the soil thickness H, the average shear wave velocity of the soil V?_S,o and a. The aforementioned parameters were first identified through a simplified analytical simulation of the site excitation. The multivariable approximate relations were then formulated via a statistical analysis of relevant data from more than 700 one‐dimensional equivalent‐linear seismic ground response analyses, for actual seismic excitations and natural soil conditions. Use of these relations to back‐calculate the numerical results in the database gives an estimate of their error margin, which is found to be relatively small and unbiased. The proposed relations are also independently verified through a detailed comparison with strong motion recordings from seven well‐documented case studies: (a) two sites in the San Fernando valley during the Northridge earthquake, and (b) five different seismic events recorded at the SMART‐1 accelerometer array in Taiwan. It is deduced that the accuracy of the relations is comparable to that of the equivalent‐linear method. Hence, they can be readily used as a quick alternative for routine applications, as well as for spreadsheet computations (e.g. GIS‐aided seismic microzonation studies) where numerical methods are cumbersome to implement. Copyright © 2003 John Wiley & Sons, Ltd.     

Evaluation of predictors of non‐linear seismic demands using ‘fishbone’ models of SMRF buildings

Predictors (or estimates) of seismic structural demands that are less computationally time‐consuming than non‐linear dynamic analysis can be useful for structural performance assessment and for design. In this paper, we evaluate the bias and precision of predictors that make use of, at most, (i) elastic modal vibration properties of the given structure, (ii) the results of a non‐linear static pushover analysis of the structure, and (iii) elastic and inelastic single‐degree‐of‐freedom time‐history analyses for the specified ground motion record. The main predictor of interest is an extension of first‐mode elastic spectral acceleration that additionally takes into account both the second‐mode contribution to (elastic) structural response and the effects of inelasticity. This predictor is evaluated with respect to non‐linear dynamic analysis results for ‘fishbone’ models of steel moment‐resisting frame (SMRF) buildings. The relatively small number of degrees of freedom for each fishbone model allows us to consider several short‐to‐long period buildings and numerous near‐ and far‐field earthquake ground motions of interest in both Japan and the U.S. Before doing so, though, we verify that estimates of the bias and precision of the predictor obtained using fishbone models are effectively equivalent to those based on typical ‘full‐frame’ models of the same buildings. Copyright © 2003 John Wiley & Sons, Ltd.     

长江巨洪的强信号探讨

分析了1900年以来长江3次巨洪的3个强信号：(1)太阳黑子活动，(2)厄尔尼诺事件，(3)青藏高原南部大震，它们对大气环流异常的影响分别称为日气作用、海气作用、地气作用，依据长江巨洪和3个强信号的基本事实，讨论了长江发生巨洪的统计规律，指出当3个强信号的出现时间互相重叠时，长江很可能发生巨洪，如果再叠加其它信号，长江发生巨洪的量级更大，这对长江巨洪的超长期预期具有重要的指示作用。