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采用模糊数学从属函数和异常系列方法，以大同－阳高地震为例，对强震发生的时间与地点预测进行研究。结果表明：模糊数学从属函数方法是提取水位异常的较好方法。强震发生前在一定区域内，水位群体异常在不同时间尺度上显示出增长和加速变化图象，这种图象可作为预报强震发生时间的标志。水位变化值异常的集中分布区与水位异常井位置在空间呈两组条带展布时，两组条带交汇地区可作为预报强震发生地点的标志
Taking the Datong-Yanggao earthquake as an example, the membership functions and anomaly series of fuzzy mathematics are used to study the time and place prediction of strong earthquakes. The results show that fuzzy mathematics membership function method is a better method to extract water level anomalies. In a certain area before the strong earthquakes, the water level anomalies show the images of growth and acceleration on different time scales. Such images can be used as a marker to predict the occurrence time of strong earthquakes. Concentrated distribution of water level anomaly and abnormal water well position Two groups of bands are distributed in space, the intersection of two bands can be used as a place to predict the occurrence of strong earthquakes