滇西地震预报实验场场区水平形变分析

利用场区各种类型水平形变网数据，求得红河断裂中、北段的区域应力场基本特征是：（１）北区为张性左旋型，（２）中区为压性右旋型，（３）南区为张性右旋型。场区区域应力场基本以张性为主，中区的压性右旋型恰好反映转换区应力场的局部特征。北区主应变积累和速率比南区大，最大处在剑川，而高敏感区在后山定两岭。基于水平形变和应变分析，获得了场区现今主要活动构造参数。利用地震前兆形变信息和震后效应进行了地震震例分析。并对３～５年内的潜在震源区进行了预估。     

台湾海峡船舶定线制设计的数据空间处理与分析

船舶定线制是指定船舶在水上某些区域航行时所遵循或采用的航线、航路或通航分道的一种制度,是水上交通繁忙区域实施有效管理的主要手段,是对航路合理规划、有效利用的重要方法,代表着水上船舶航行秩序管理的发展方向。本文针对台湾海峡船舶定线制设计中对船舶交通数据的空间处理及分析需求,经过大量实测数据分析和实践验证,提出了一些符合台湾海峡船舶定线制设计的数据空间处理及分析方法,并就船舶定线制推荐方案的空间表达形式作了简要介绍。     

江苏常州4.2级地震前的重力变化

利用江苏地区2019~2021年流动重力观测资料,分析江苏省常州市4.2级地震前不同时间尺度下的重力场变化。结果表明：1）0.5 a尺度重力场变化图像较好地反映了此次地震下降-转折上升-持续上升-反向变化及零值线附近发震的演化过程;2）常州4.2级地震前0.5 a和1 a尺度下的重力场均显示,地震发生在重力变化零值线附近。     

临猗5.0级地震前后品质因子值变化特征研究

利用西安数字地震遥测台网记录的数字地震资料，采用P波初动半周期残差法求得1998年7月临猗5．0级地震前后不同路径的Q(品质因子)值变化，发现在地震发生前Q值为87～203，震后Q值为67～164，震前震中区附近出现明显的高Q值异常。结果表明，地震前的高Q值异常可以作为地震预测的一种手段。     

Focal Mechanism Solutions and Stress Field Inversion of Moderately Strong Earthquakes in the Northern Tianshan Area

Using the focal mechanism solutions of 24 moderately strong earthquakes in the northern Tianshan area, we carried out system cluster and stress field inversion analysis. The result indicates that, the focal mechanism solutions of moderately strong earthquakes are mainly dipslip reverse faulting in the northern Tianshan area. The principal rupture planes of earthquakes are NW-oriented. It is basically consistent with the strike of earthquake structure in its adjacent area. The direction of the principal compression stress P axis is nearly NS, and its inclination angle is small; while the inclination angle of the principal extensional stress T axis is large. It shows that the regional stress field is mainly controlled by the near-NS horizontal compressive stress. The direction of the maximum principal stress shows a gradation process of NNE-NS-NW from east to west.     

潮汐形变资料中地震前兆信息的识别与提取

将小波变换的多分辨率分析引入潮汐形变资料处理中，对近年来云南地区的3次强震前的潮汐形变观测资料进行了处理与分析，发现在地震前2～5个月，震中附近的形变台站都接收到一个频段相同的异常信号，且它们之间是相关的，相关系数达80％以上，由此可以确定信号是由同一个源发出来的。出现在多个台站的相同频段的异常信号很可能就是我们想要得到的地震前兆信息。     

基于非对称传感器的地震预警与烈度速报综合用烈度仪

对典型的地震预警与烈度速报方法进行分析,提出了基于非对称传感器的地震预警与烈度速报综合用烈度仪,其由非对称结构的三分量传感器和基于ARM嵌入式系统的专用数据采集器组成。经过测试,该地震烈度仪的专用数据采集器具有大于107 dB的动态范围;其非对称三分量传感器结构中,所选的单分量B类传感器的加速度误差小于0.8%,动态范围大于105 dB,而所选的三分量C类传感器的加速度误差小于5%,动态范围大于61 dB。该地震烈度仪的各项指标均满足地震预警与烈度速报综合应用的各项技术要求,且功耗低、成本低,适合于高密度布设。     

Landslide susceptibility mapping using geological data, a DEM from ASTER images and an Artificial Neural Network (ANN)

An efficient and accurate method of generating landslide susceptibility maps is very important to mitigate the loss of properties and lives caused by this type of geological hazard. This study focuses on the development of an accurate and efficient method of data integration, processing and generation of a landslide susceptibility map using an ANN and data from ASTER images. The method contains two major phases. The first phase is the data integration and analysis, and the second is the Artificial Neural Network training and mapping. The data integration and analysis phase involve GIS based statistical analysis relating landslide occurrence to geological and DEM (digital elevation model) derived geomorphological parameters. The parameters include slope, aspect, elevation, geology, density of geological boundaries and distance to the boundaries. This phase determines the geological and geomorphological factors that are significantly correlated with landslide occurrence. The second phase further relates the landslide susceptibility index to the important geological and geomorphological parameters identified in the first phase through ANN training. The trained ANN is then used to generate a landslide susceptibility map. Landslide data from the 2004 Niigata earthquake and a DEM derived from ASTER images were used. The area provided enough landslide data to check the efficiency and accuracy of the developed method. Based on the initial results of the experiment, the developed method is more than 90% accurate in determining the probability of landslide occurrence in a particular area.     

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