Abstract
Taking 98 earthquake swarms occurred in Xinjiang during 1972–1992 as examples, and 8 parameters (e. g.U, K, ρ and the maximum energy rate of earthquake sequenceetc.) as the characteristic quantity in earthquake swarm pattern observation, the author made a numerical cluster by PP cluster analysis method. The results indicate that those 98 earthquake swarms can be divided into 4 types as A, B, C, D. There are 24 swarms in type A, among which strong shocks occur nearby after 18 swarms in the coming 12 months. Among 61 earthquake swarms in type C and D, strong shocks occur nearby only after 7 swarms in the same time period. The occurrence rate of strong shocks only takes 3/11 in type B swarms. No doubt, PP cluster analysis method can effectively distinguish precursory swarms (type A) and correctly judge the short- and medium-term trend in the area around the earthquake swarms. Being a new and useful classification, PP cluster provides a wide application to the identification of the type of earthquake sequence.
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