区域地震监测预警概率模型及应用

英文篇名：The Early Warning Probability Model of Monitoring Regional Earthquake and Its Application
中文刊名：数学的实践与认识
英文刊名：Mathematics in Practice and Theory
作者：于庆年
英文作者：YU Qing-nian (Liaodong College ; Dandong City ; Liaoning 118001 ; China)
中文关键词：地震区域划分 ; 弱震 ; 中强震 ; 数学模型
英文关键词：the earthquake area divided weak earthquake ; strong earthquakes ; mathematical model
出版日期：2013-07-23
机构：辽东学院师范学院数学系;
年：2013
期：14
出版单位：数学的实践与认识

摘要

研究以辽宁地震地质区域划分为基础,运用概率论原理分析辽宁地区地震的特征.研究表明地震是一个随机事件流,并且近似服从泊松分布规律,在此基础上建立地震监测预警数学模型.以2006年1月至2011年12月辽宁地震监测数据为依据进一步实证研究,表明该数学模型得出的地震预测预警结果具有较高的理论价值和实用价值.
In this paper,According to the Liaoning earthquake geological zoning,the characteristics of the Liaoning Province earthquake is analyzed by probability theory.The study conclusion show that the earthquake is a random event stream and obey the Poisson distribution.A mathematical model of seismic monitoring is structured by these.The further empirical research is finished by Liaoning earthquake monitoring data from January 2006 to December 2011.The study conclusion indicate that the way of earthquake prediction by the mathematical model has a higher theoretical and practical value.

引文

[1]马禾青.小地震发生率和累计次数变化的理论解释及应用实例[J].地震,2008,28(1):57-64
    [2]邹广.北天山西段中强震前中小地震活动特征讨论[J].内陆地震,2009,23(4):482.
    [3]吴明大,钟以章.矿山城市的地震小区划研究[J].东北地震研究,1995,11(4):63-68.
    [4]万波等.东北地区的新构造运动特征分析及新构造运动分区[J].东北地震研究,1997,13(4):64-75.
    [5]丹东地震信息网,http://www.eqzt.com/eqdd/seis/liaoning/liaoning_test_lnml.php?dzml＝lnml
    [6]Richard M.Allen.The potential for earthquake early warning in southern california[J].Science, 2003,300(5620):786-789.
    [7]Yih-Min Wu et al.A virtual subnetwork approach to earthquake early warning[J].the Seismological Society of America,2002,92(5):2008-2018.
    [8]范大茵0-1分布及泊松分布的置信限的分析推导[J].数学的实践与认识,1987,17(2):74.
    [9]Mitsuyuki Hoshiba.Earthquake Early Warning Starts Nationwide in Japan[J].EOS,Transactions American geophysical union,2008,89(8):73.
    [10]高孟潭.基于泊松分布的地震烈度发生概率模型[J].中国地震,1996,12(2):196-201.
    [11]国家地震科学数据共享中心,http://data.earthquake.cn/data/index.jsp?no＝11&number＝28.