CAR模型在分析处理地壳形变资料中的应用  

APPLICATION OF THE SYSTEMATICAL RECOGNITION METHOD IN ANALYSIS OF CRUSTAL DEFORMATION DATA

作　　者：蒋春花[1] 王川华[1] 陈绍绪[1] 刘永强[2] 罗培城 

机构地区：[1]河北省地震局 [2]河北机电学院

出　　处：《华北地震科学》1992年第1期66-74,共9页North China Earthquake Sciences

摘　　要：通过对涞源、大灰厂、牛口峪、赤城、太原等台的地形变资料进行系统辨识和研究,认为带控制项的自回归模型(简称CAR(n)模型)能够较为客观地、合理地反映迭加了温度、降雨等影响的地壳形变观测系统。将所得模型用于资料预估,排除干扰,识别地震异常,效果较为理想。In this paper, a systematic recognition method is applied to the analysis of crustal deformation data. After recognition and study for the data fron Daiyuan, Dahuichang and Noukouyu stations, it is considered that the self-regression model with controlling term (called CAR (n) model for short) can cbjectively and reasonably reflect the crustal deformation observation data which overlap the temperature and rainfall influences. If the model is used in data estimation, disturbance removement and the recognition of seismic anomalies, the result will be relatively ideal.

关 键 词：CAR模型 地壳 形变 地震异常 预报 

分 类 号：P315.7[天文地球—地震学]