基于Sentinel-1A的2021年双湖MW5.7地震同震破裂模型

利用Sentinel-1A SAR数据提取2021年西藏双湖县M_W5.7地震同震形变场及2.5D形变场,反演断层滑动分布模型。计算不同节面解为接收断层产生的库仑应力变化差异确定发震构造,并结合余震分布信息评估未来地震风险性。结果表明,地震震中为34.37°N、87.71°E,震源深度6.51 km,发震断层倾向东、走向33°、倾角50°、平均滑动角-74°,以倾滑为主兼有少量左旋走滑分量,最大滑动量0.26 m。短时间内,震区南部地震风险较小,北部则需要结合更多资料进一步分析。本次地震是在羌塘块体持续向东扩张的背景下,受EW向拉伸作用使得黄水湖正断层发生的一次弥散型变形活动,SN向地堑得到进一步扩张。     

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。     

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。     

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.     

中国大陆强震活动时空特征分析

本文在以往研究的基础上分析中国大陆强震活动的时空特征, 以中国大陆1901年以来7级及其以上强震年频次为样本, 采用最优分割将中国大陆地震活动状态分为三种时段: 少发段、 平均段和频发段。 中国大陆强震时间活动呈现非稳态现象, 强震频发段间存在短期的地震平静, 由强震平均段到频发段过渡期间同样存在强震少发段, 而少发段也有7级以上强震发生。 以此为基础结合中国大陆活动地块边界带, 研究不同强震丛发时段前地震活动的空间分布特点以及强震丛发时段的主体活动地区。 研究结果表明, 1901年以来中国大陆强震活动总体来讲, 1955年前后表现出不同的空间特征: 1955年之前强震活动主体区域为中国西部及周边大三角地区的三条边界; 1955年之后强震活动主体区域为华北地区、 巴颜喀拉地块区及南北地震带南段地区。 不同相邻强震丛发时段的主体活动地区有一定的交替性, 少发时段或增多时段的强震往往是上一个丛发时段的主体区内强震活动的延续, 或者发生在下一个强震主体活动区内或周边地区。     

大姚6级双震前的地震前兆特征

在连续形变观测资料中除了存在于整个时间域的短周期潮汐信息(固体潮)外，还有出现在某个时间段的长周期非潮汐信息．如何从时间或空间上认识和提取这些信息．成为认识地震过程和进行地震预报关键和迫切的问题之一。利用小波分析的时一频特性和奇异性检测特性，对大姚6级双震前的连续形变观测资料进行了处理，提取潮汐资料中的非潮汐信息。发现在地震前震中附近的形变台站都接收到了相同频段的异常信号．周期为几天到十几天，出现在各个台站的时间也大致相同。这些在震前具有一定时、空分布的信息有可能是地震前兆。     

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。     

Seismicity re-evaluation of the northern Red Sea

The Aqaba subnetwork of five vertical short-period stations of the seismological observatory of King Saud University was installed in late 1986 along the eastern side of the Gulf of Aqaba, northern Red Sea. During the first six years (1986 August to 1992 July) of the subnetwork operation, 400 microearthquakes were detected. Of these, 93 events were recorded by most of the subnet stations and were located. Their epicentres lie in the northern part of the Red Sea between latitudes 25.5 N and 27.5 N and longitudes 33.5 E and 36 E along the axial depression of the Red Sea where the large intrusions (deeps) are located. Magnitudes of the locatable events ranged from 2.1 to 4.8. Two intensive swarms of about 200 microearthquakes occurred in February and June of 1992. The February swarm is the first intensive sequence observed in the surveying area since the establishment of the KSU network. Frequency-magnitude analysis of the recorded events for the period 1986-1992 yielded 3.543 for a and 0.658 for b . These relatively higher b values (0.658) are a good indication of the crustal heterogeneity under the spreading zone of the northern Red Sea. USGS and KSU data together show 3.41 for a and 0.49 for b . This study, together with historical data, confirms that the area is very seismically active and that the activity is mainly of swarm type, and may be attributed to the subsurface magmatic activity and spreading centres that are usually associated with strike-slip and normal faulting, respectively.