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Considering the problems that should be solved in the synthetic earthquake prediction at present, a new model is proposed in the paper. It is called joint multivariate statistical model combined by principal component analysis with discriminatory analysis. Principal component analysis and discriminatory analysis are very important theories in multivariate statistical analysis that has developed quickly in the late thirty years. By means of maximization information method, we choose several earthquake prediction factors whose cumulative proportions of total sample variances are beyond 90% from numerous earthquake prediction factors. The paper applies regression analysis and Mahalanobis discrimination to extrapolating synthetic prediction. Furthermore, we use this model to characterize and predict earthquakes in North China (30°～42°N, 108°～125°E) and better prediction results are obtained. 相似文献
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利用高空、地面等常规气象资料和多普勒雷达等气象观测资料,以及NCEP再分析资料,对丹东2018年9月连续出现的两次风雹天气进行对比分析,探讨和总结两次风雹天气过程形成、维持、发展成因的异同。结果表明：中低层切变线、强垂直风切变和辐合抬升有利于风雹天气的发生。高空冷空气的入侵方式和强度、低空急流建立、环境垂直风切变强度对风雹天气剧烈程度有重要影响。两次风雹天气过程分别为东北冷涡型和高空冷槽型,9月6日横槽转竖引导冷空气快速移动并且后方还有冷涡后部的冷空气不断补充,配合850 hPa西南急流带来充沛水汽,使得6日风雹天气现象较3日更加剧烈;两次风雹天气过程在多普勒雷达回波上的特征明显。9月3日的风雹过程由多单体线对流风暴在东移过程中逐渐演变成弓形回波,在径向速度图上有明显的逆风区;9月6日的风雹过程沿地面辐合线激发多个超级单体呈现列车效应移动,径向速度图上出现了速度模糊,有较高的垂直累积液态水含量（Vertical Integrated Liquid water content,VIL）。 相似文献
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