均数理论在确定未来震中位置中的应用

应用ＭＤＣＢ方法确定未来的发展地点，主要是用多台ＭＤＣＢ型仪器测出的异常方位角进行交汇。如何确定哪个交汇点有可能发展是关键的问题。应用均数数学理论中对从偶数求解的逆向运算方法，可为地震短临预报研究提供一种新的研究思路。     

1996年阿图什6.9级地震参数与宏观震中

对通过计算机定位得到１９９６年３月１９日阿图什６．９级地震基本参数的可靠性进行了分析与论证，并对该次地震微观震中与宏观震中差异较大的原因进行了探讨。     

小波网络方法用于时间序列分析中非线性模型的研究

把小波网络方法用于时间序列分析中非线性模型，利用小波网络的非线性逼近能力，构造一个非线性函数，并对温度资料进行处理，得到了较好的拟合效果。     

1991年江淮流域梅雨结束预报的分析与讨论

１９９１年江淮梅雨结束，在预报上具有相当难度。由于ＥＣＭＷＦ数值预报出现重大偏差，曾一度造成业务预报的重大分歧，增加了预报决策的困难。作者客观地反映当时预报的实况，其目的在于剖析预报分歧中的症结，并由此提出预报员的经验可以弥补单一预报工具的不足，修正数值预报产品的误差，从而提高预报准确率。     

一种基于浑沌理论的联想记忆神经网络模型

根据联想记忆神经网络的基本原理，提出了一种基于浑沌理论的联想记忆神经网络模型及相应的求解方案，并对该种模型进行了预报试验。结果表明，该种模型的历史预报准确率和实际预报准确率均超过一般随机预报，值得进一步研究和应用。     

台网遥测设备管理软件CALI编制与应用

本软件采用Ｆｏｘｐｒｏ２．５新一代数据库管理系统编写，主要用于遥测地震台网的设备管理及常规系统标定参数的计算，并已在１９９５年系统标定中得到了实践检验。     

湖南东江水库诱发地震

东江水库自蓄水前约半年起就开始进行地震监测，发震后通过密集台网强化观测、震源机制解及地震地质等多项工作，综合研究该库诱发地震发震原因，认为由于库水渗透引起的多种局部性应力调整导致水库诱发地震活动．其发展趋势将表现为逐渐衰减，今后不致于发生破坏性地震．     

影响上海市地价空间分布的区位因子分析

本文采用ＧＩＳ技术和多元线性回归分析方法，以土地批租地块为样本，分析上海市地价与城市区位因子的线性关系。回归分析结果表明；南京路，市中心和淮海路是影响上海市寺价空间差异的主要区位因子，外滩，次级商业中心和交通结节点对地价的影响很小，表明上海市地价的空间分布具有很高的向心性。     

陕甘宁盆地中部气田马五1段储层识别模型

本文应用多项式自组织方法，以１０个特征参数建立了中部气田马五１段储层气、水、干层判识的非线性网络模型，９２个已知样本的吻合率达９８．９％，为储层识别探索了又一新的方法，可供矿场参考     

An estimate of hypocentre location accuracy in a large network: possible implications for tectonic studies in Italy

Data recorded by the Italian Telemetered Seismic Network (ITSN) of the Istituto Nazionale di Geofisica (ING) have been widely used in recent years to image slab structures and to find evidence for active processes along the Italian Peninsula. However, the use of seismic data for geostructural purposes may be affected by the well-known trade-off between earthquake location and seismic-velocity parameters. Furthermore, the confidence ellipse predicted by standard procedures may be inadequate for the representation of the probable error of a computed localization. This paper evaluates the probable errors on the hypocentre determinations of the seismic events recorded by the ITSN, using a Monte Carlo method.
We compute synthetic arrival times using a 1-D velocity model appropriate as an average for the Italian area. The hypocentres used are all those recorded by the ITSN during the period January 1992 to March 1994 (1972 events). Station locations are those of the current ITSN configuration. The synthetic arrival times are perturbed with a Gaussian distribution of errors and input to ING's standard hypocentral location procedure, but using crustal velocities differing by 10 per cent from those used to generate them. Each simulation is repeated at least 30 times. Average absolute shifts of hypocentres are assessed in grid cells of linear dimension 33 km covering the whole Italian region.
For regions within the ITSN, shifts are typically 5–10 km in location and up to 20 km in depth. However, for offshore and coastal regions, they are much greater: 50 km or more in both location and depth (far exceeding the equivalent uncertainties quoted by ING bulletins). Possible consequences of this are highlighted by producing a cross-section of subcrustal hypocentres from the Adriatic to the Tyrrhenian Sea, where the large uncertainty in depth precludes any confident interpretation of dipping tectonic features.