泊松过程和卡方拟合检验在地震间隔时间中的应用

Application of Poisson process and chi-square fitting test in earthquake interval

根据泊松过程的基本假设指出了6.0级以上强地震的间隔时间近似服从指数分布,进而利用卡方拟合检验方法和在中国地震台网采集的2020年3月25日至2021年3月20日之间发生的6.0级以上强地震的数据对此进行了验证。同时还采用了给定间隔时间的理论和实际偏差次数与实际次数的比值来评估指数分布拟合强地震间隔时间分布的效果。

This paper points out that the interval of strong earthquakes which is more than 6.0 scale approximately follows the exponential distribution according to the basic hypothesis of Poisson process.Then the chi-square fitting test method and the data of earthquakes over 6.0 scale occurred from March 25,2020 to March 20,2021 collected from China seismic network are used to verify the hypothesis.Meanwhile,through the ratio of the deviation between the theory and the actual times of given interval to the actual times,the effect of fitting the earthquake interval distribution with exponential distribution is evaluated.