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《Chinese Journal of Geophysics》 2016-09
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Statistical test of spatial distribution model of the Earthquakes in Chinese Mainland

XU Wei-Jin;LI Xue-Jing;Institute of Geophysics,China Earthquake Administrator;  
In this paper,we test the spatial distribution model of the earthquakes in Chinese Mainland.We take Poisson model as null hypothesis and test Neyman-Scott and similar point processes.The K-function point processes analysis tool and maximum likelihood estimation method are used to calculate parameters of each model.We use the Akaike Information Criterion(AIC)to compare the goodness-of-fit of these models.The results show that the goodness-of fit of Poisson model is the worst compared with that of any other model,while the goodness-of-fit of General Thomas model is the best.It can be confirmed that the spatial distribution of earthquakes is indeed significantly clustered(General Thomas model)rather than completely random(Poisson model).The best fit is got by the General Thomas model which contains two Gaussian kernels.The scale of cluster of spatial distribution of earthquakes does not change for each seismic subcatalog in the same research region.This means that the scale of cluster is not controlled by small earthquakes,and that may be related with the scale of faults in research regions.
【Fund】: 中国地震局地震行业专项(201408014);中国地震局地球物理研究所基本业务专项(DQJB12B26)联合资助
【CateGory Index】: P315.5
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