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本文应用模糊数学方法从给定地区的地震目录中识别出地震簇。这些地震簇由一系列时空相关的地震组成,每一次强震前都可能有其地震簇出现。两次地震的函数由以下公式来确定:(?)计算出某一地区所有 M≥M_0地震相互之间的联系强度,并取一个经验参数λ之后,就可以根据编网原则识别出地震簇。利用地震簇,可以把强震的地震活动性图象识别得更清楚,简单和定量化。此方法曾用于我国大华北及西南地区的地震簇识别与地震活动图象研究。清楚地识别出了13次大震(M≥6.5)的地震簇。研究了它们的时空特性。近似建立了 lg△t,lgL,lgS 与震级 M 间的线性经验关系,此处△t,L,S 分别表示地震簇的前兆时间(持续时间)及其震中分布的最大线度与面积。显然,这些关系式对地震预报研究可能有一定用途。
In this paper, fuzzy mathematics is used to identify seismic clusters from the seismic catalogs in a given area. These clusters are composed of a series of spatially and temporally related earthquakes, and their clusters may appear before each strong earthquake. The function of the two earthquakes can be determined by the following formula: () Calculating the strength of all M≥M_0 earthquakes in a certain area and taking an empirical parameter λ, the earthquake cluster can be identified according to the network coding principle. Using seismic clusters, the seismicity of strong earthquakes can be identified more clearly, easily and quantitatively. This method has been used for the study of seismic cluster identification and seismic activity images in the North China and Southwest China. Thirteen strong earthquakes (M≥6.5) were clearly identified. Studied their space-time characteristics. The linear empirical relationship between lg △ t, lgL, lgS and magnitude M is approximately established, where △ t, L, S represent the maximum linearity and area of the earthquake cluster’s precursory time (duration) and its epicenter respectively. Obviously, these relations may have certain uses for earthquake prediction research.