Application of Dangerous Probability Function in Risk Estimation of Surface Rupture Earthquake：Taking the Lingwu Fault in Ningxi1 Region as on Example

Based on the fitting on paleoearthquake data of intra-plate regions in the northern part of Chi-na and giving a statistical model of time interdependence,the potential damage earthquakes in a definite future period and characteristics of present shocks along the Lingwu fault have been analyzed by using dangerous probability function and some new data concerned.We have in-ferred that the fault has entered a period that earthquakes will probably occur.There exists a potential danger that a strong earthquake with Ms7.0-7.5 will occur in 10-100a.     

The Advances and Prospects of Research on Earthquake Engineering at IEM

This paper describes briefly the recent advances and acievements of the research projects conducted by the Institute of Engineering Mechanics(IEM) in the period of the Ninth Five-Year Plan(1995-2000) with the support of the China Seismological Bureau(CSB),These projects are related with key problems in the field of earthquake engineering.They are:development of the methods for determining earthquake resistant design load level,study on mechanisms of earthquake damage to buildings.development of new technology of base isolation,and study on earthquake damage prediction and seismic losss assessment methods.Through these studies,quite a number of problems have een solved and some of them have een applied in earthquake engineering design and practice.     

Fuzzy neural network models for liquefaction prediction

Integrated fuzzy neural network models are developed for the assessment of liquefaction potential of a site. The models are trained with large databases of liquefaction case histories. A two-stage training algorithm is used to develop a fuzzy neural network model. In the preliminary training stage, the training case histories are used to determine initial network parameters. In the final training stage, the training case histories are processed one by one to develop membership functions for the network parameters. During the testing phase, input variables are described in linguistic terms such as ‘high’ and ‘low’. The prediction is made in terms of a liquefaction index representing the degree of liquefaction described in fuzzy terms such as ‘highly likely’, ‘likely’, or ‘unlikely’. The results from the model are compared with actual field observations and misclassified cases are identified. The models are found to have good predictive ability and are expected to be very useful for a preliminary evaluation of liquefaction potential of a site for which the input parameters are not well defined.     

Most likely locations of large earthquakes in the Kanto and Tokai areas, Japan, based on the local recurrence times

We examined the hypothesis that minima in local recurrence time, T_L, or equivalently maxima in local probability, P_L, may map asperities in the Kanto and Tokai areas of Japan, where the earthquake catalog of the National Research Institute for Earth Science and Disaster Prevention (NIED) is complete at the M=1.5 (M1.5) level. We mapped T_L (P_L) based on the a- and b-values of the nearest earthquakes within 20 km of every node of a grid spaced 0.01° for M7 target events. Only earthquakes within the top 33 km were used. The b-values increase strongly with depth, in several areas. Therefore, some of the T_L (P_L) anomalies are not revealed if data from the entire crustal seismogenic zone are mixed. Thus, we mapped T_L (P_L) separately for the top 15 km and the rest of the depth range, as well as for the entire seismogenic crust. The resulting T_L- and P_L-maps show that approximately 12% of the total area shows anomalously short recurrence times. Out of six shallow target events with M≥6.5 and which occurred since 1890, five are located within the anomalous areas with T_L <450 years. We interpret this to mean that areas with anomalously short T_L map asperities, which are more likely than other areas to generate future target events. The probability that this result is due to chance is vanishingly small. The great Kanto rupture of 1923 appears to have initiated in the most significant asperity we mapped in the study area. One anomaly is located in the northeastern part of the area of the proposed future rupture of the Tokai earthquake, and another one at its southwestern corner. The absolute values of T_L calculated are uncertain because they depend on the size of the volume used for the calculation.     

地震的复发周期

本文提出了一个计算某一地震带(区)上地震复发周期的简单公式: T_M=m·10~(bM-a)式中T_M为震级是M的地震周期,m表示在求震级—频度关系式logN=a-bM中的系数a及b时,使用了m年的资料(时间单位也可以采用年、季度、月、旬等等)。 采用上述公式,作者研究了地震预报中的长期、中期及短临预报的问题。一些震例的研究表明:复发周期在地震预报的许多方面具有广泛的实用意义。不失为地震预报中的一个重要指标。     

长江中下游地震同青藏高原北部地震的相关性

本文对比了1910—1987年发生的长江中下游地震和青藏高原北部地震,发现两者有比较好的对应关系。一般是,青藏高原北部先发生M≥6级地震,而后长江中下游地区发生M≥19/4级地震。对1910年以来的21次地震进行了统计分析,得到复相关系数R=0.74,能够在很高的显著性水平上通过F检验。地震活动在时间、空间、强度上的相关,现代构造运动及应力场等事实表明,长江中下游地震活动可能主要受青藏高原向东的横向推移运动的影响。     

地震预报和地震对策模型体系

本文设计了一种用于地震预报和地震对策的模型体系。任何规模庞大、结构复杂、功能综合的大系统都不能用一个单一模型来处理,因为单一模型容纳的变量有限、研究的问题受到局限。地震预报和地震对策系统包含长、中、短、临地震预报,强余震预报及震前、震后的对策等,研究的目标多、功能复杂,需要建立一个相当规模的模型体系来解决这一问题。用系统工程的方法设计和建立各个模型,使各模型的输出、输入互相匹配,功能互相补充。该模型体系具有预报功能和决策功能。前者包括大区域地震危险性判定,中期(0.5—5年)地震危险性判定,短期(0.5—6月)地震危险性判定,临震(几小时—15天)地震危险性判定以及未来地震类型和强余震趋势的判定等。后者包括震前决策和震后决策。使用的数学方法包括统计方法,模糊集方法和灰色系统方法。     

天山地区地震韵律的初步探讨

根据新疆及苏联天山地区的地震目录和古地震研究成果,将整个天山地区的地震韵律划分为地震世、地震亚世、地震期、地震幕、地震阶五级,探讨了各级韵律的特征。估计了我国天山地区未来地震活动趋势。     

从经验性预报向以物理为基础的概率预报过渡的若干问题

前言 地震预报是一个既古老又年轻的课题。早在二千七百多年前我国就开始有地震记载。公元132年,东汉张衡发明了世界上最早的地震仪——候风地动仪。但是,世界性的比较科学的地震预报研究大体上从本世纪六十年代开始。日本从1965年开始执行第一个地震预报五年计划。苏联虽自1948年阿什哈巴德地震之后就提出地震预报,但是,在地震学、地球物理和地球化学等方面探索前兆,真正取得进展也始于六十年代末。我国有计划大规模开展地震预报从1966年邢台地震现场开始。美国地震预报起步稍晚,但进展很快。 二十多年的观测、研究和预报实践推动了地震预报事业的发展。地震预报已从束手无策的     

地下电性非均匀结构对地电场信号的影响

在数值模拟的基础上探讨了地下电性非均匀性问题对地电场信号的影响程度。这些影响主要包括地下电性非均匀体对天然电磁感应电场的影响和对产生于震源区附近的异常地电场的影响。结果表明, 地下电性不均匀体的电性特征与周围介质的电性特征差别越大, 则其对地电场的影响也会越大; 地下电性不均匀体的空间范围越大, 则其对地电场的影响也越大。在孕震区作为可能的电荷源模型中, 地下电性不均匀体的存在对电荷源所形成的异常地电场信号在地表的表现形式也有很大的影响。在地表所观测到的地电场异常空间分布不均匀性与地下电性不均匀体的空间位置有着密切关系。