At 2:09 a.m.on January 23,a 7.1-magnitude earthquake woke a large number of people inXinjiang Uygur Autonomous Region from their sleep.Amanguli Tuohuti was one of them.She took her children and quickly left her house ...At 2:09 a.m.on January 23,a 7.1-magnitude earthquake woke a large number of people inXinjiang Uygur Autonomous Region from their sleep.Amanguli Tuohuti was one of them.She took her children and quickly left her house in a remote village in Wushi,a county where the epicenter was located.展开更多
Taking 98 earthquake swarms occurred in Xinjiang during 1972-1992 as examples,and & parameters (e. g. U,K, p and the maximum energy rate of earthquake sequence etc.)as the characteristic quantity in earthquakeswar...Taking 98 earthquake swarms occurred in Xinjiang during 1972-1992 as examples,and & parameters (e. g. U,K, p and the maximum energy rate of earthquake sequence etc.)as the characteristic quantity in earthquakeswarrn 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 typeA, among which strong shocks occur nearby after 18 swarms in the coming 12 months.Among 61 earthquakeswarms 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 areaaround the earthquake swarms. Being a new and useful classification, PP cluster provides a wide application tothe identification of the type of earthquake sequence.展开更多
In this paper, we studied the relationship between environmental factors and disastrousearthquakes of Xinjiang based on the characteristics of time--space distribution of disastrousearthquakes. Through a great deal of...In this paper, we studied the relationship between environmental factors and disastrousearthquakes of Xinjiang based on the characteristics of time--space distribution of disastrousearthquakes. Through a great deal of data handling and several statistic correlation analyses,the method has passed the correlation test on the confidence level of α= 0.01 or 0. 05, whichshows a certain relation between environmental factors and disastrous earthquakes, thus theprediction criterion for disastrous earthquakes with different scales in different time inter-vals is put forward.展开更多
文摘At 2:09 a.m.on January 23,a 7.1-magnitude earthquake woke a large number of people inXinjiang Uygur Autonomous Region from their sleep.Amanguli Tuohuti was one of them.She took her children and quickly left her house in a remote village in Wushi,a county where the epicenter was located.
文摘Taking 98 earthquake swarms occurred in Xinjiang during 1972-1992 as examples,and & parameters (e. g. U,K, p and the maximum energy rate of earthquake sequence etc.)as the characteristic quantity in earthquakeswarrn 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 typeA, among which strong shocks occur nearby after 18 swarms in the coming 12 months.Among 61 earthquakeswarms 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 areaaround the earthquake swarms. Being a new and useful classification, PP cluster provides a wide application tothe identification of the type of earthquake sequence.
文摘In this paper, we studied the relationship between environmental factors and disastrousearthquakes of Xinjiang based on the characteristics of time--space distribution of disastrousearthquakes. Through a great deal of data handling and several statistic correlation analyses,the method has passed the correlation test on the confidence level of α= 0.01 or 0. 05, whichshows a certain relation between environmental factors and disastrous earthquakes, thus theprediction criterion for disastrous earthquakes with different scales in different time inter-vals is put forward.
