山东苍山5.2级地震前地震活动特征

从小震活动的时空分布以测震学参数的变化出发，分析了苍山地震前地震活动的异常特下，研究结果表明，苍山５．２级地震前出现了地震活动的图像和几种中，短期测震学参数，异常，但无明显短临信息的前震活动。     

永登5.8级地震前后的重力变化

着重分析了１９９５年７月２２日永登５．８级地震前后的重力异常变化及其与地震的对应关系，对这次地震的探讨性分析，进一步说明流动重力测量对一些较大地震作出一定的预报是可行的。     

华北北部场源前兆观测资料分析(一)──场源前兆特征与机制

1976年唐山地震前，在距震源很远的地区内都观测到一些前兆趋势变化，如重力、重力位二次徽商W△、水氧、地电阻率、水位和油井出油量等变化。作者认为这些变化不是由震源体直接引起的，而是在区域应力场的作用下，在某些活动断层附近，浅层岩，尤其是含水砂岩层和含油层受挤压出现的一些与地震有关的异常现象。其特征是：（1）异常范围大，可能在距震源很远的地方发生，但就同一种方法的多个观测点来说却又是局部的，即只有其中部分测点才能观测到异常，不少测点观测不到异常。（2）异常发生的时间大致相同。有些异常有同步变化的特征，如同时上升或同时下降。（3）临震前多数异常有恢复的趋势。这些特征与引起异常的机理有关。作者还从理论上计算了这种趋势异常量级，重力变化100×10-6cm／s2左右，重力位二次微商变化（1～2）×10－9／s2，地电阻率变化2％～3％，Rn变化7．4～11．1Bq／L，这样的变化量在活动断层附近的一些台站可能观测到。作者还研究了干旱降雨对某些前兆的影响，其影响量级可以被一些方法观测到，因此在确定是否是地震异常时，必须注意利用综合分析的方法排除干旱降雨的影响，减少异常的多解性。     

苍山5.2级地震的地形变特征及机制

运用新方法对苍山地震前后的形变资料进行了异常识别，重点分析形变异常的变化特征及机制。结果显示；（１）苍山地震是大面积应力积累、调整的结果；（２）以外围区１００－２００ｋｍ中短及短期异常为主，而震中１００ｋｍ内的近源区异常并不显著；（３）进入短期的异常标志是中短期异常出现转折或反向。     

北京顺义4.0级地震板桥井水位异常特征

着重介绍了北京顺义４．０级地震前后板桥井水位的异常特征，并通过对板桥井二次异常的对比分析研究，提出井水位异常时间尺度与震级之间的可能关系。     

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．     

华北地区大震前区域地震活动的中短期变化

对发生在华北地区３１个Ｍ≥５地震震前区域地震活动的时间序列进行的研究得出：（１）华北地区发生Ｍ≥５地震前，区域地震活动的短期平静现象与大震发生的相关性很强。３１个Ｍ≥５地震前的平静时间主要集中在２０～８７ｄ，１２０～２１０ｄ和大于２１０ｄ。同时还得出大震前的短期平静时间与震级大小无关的结论；（２）区域地震活动在短时间内出现增强趋势，与发生大震的相关性很弱，相关的仅占总数的６．４％     

Neural dynamic modelling on earthquake magnitude series

Earthquake magnitude prediction is of vital importance for human safety. The earthquake is a very complicated and non-linear dynamic process. It cannot be described adequately by any deterministic models. In this paper a neural dynamic modelling for earthquake magnitude prediction is reported. Historical records of earthquake magnitude series are used to construct the optimal non-linear dynamic model, and the consequent outcome of the earthquake behaviour is then predicted by this model. In turn, the latest recorded data set can be fed back to improve the accuracy of the neural dynamic model. The modelling of experiments of three earthquake magnitude series in China and Japan and their extrapolated predictions are included in this paper. The values predicted by extrapolation are in good agreement with the historical data.     

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.     

Centroid moment tensor inversion of low-frequency seismic spectra using Green's functions for aspherical earth models

We present a new method for centroid moment tensor (CMT) inversion, in which we employ the Green's function computed for aspherical earth models using the Direct Solution Method. We apply this method to CMT inversion of low-frequency seismic spectra for the 1994 Bolivia and 1996 Flores Sea deep earthquakes. The estimated centroid locations agree well with those obtained by multiple-shock analyses using body-wave data. This shows that it is possible to obtain reliable CMT solutions by analyses of low-frequency seismic spectra using accurate Green's functions computed for present 3-D earth models.