科学家不能预测某一特定地震的发震时间。
Scientists cannot predict the timing of specific earthquakes.
上述特征有助于未来发震时间和地点的判断。
The features mentioned above are useful to estimate the future time and location of earthquake occurrence.
主震后15天内最大近震的应变能量和发震时间。
The strain energy of the near maximum shock occurred within 15 days after the main shock.
总概率P_ 1可用来对该地区较大地震的发震时间作统计预报。
P1 may be used to predict the time of large earthquake occurrence in this region.
用累积概率表示发震的可能程度可作为马氏链预测发震时间的补充；
Using cumulative probability to estimate the possible stage of earthquake occurrence can fulfill the origin time of Markov chain.
正演检验表明，预测发震时间、地点、震级与实际发生的地震基本相符。
The direct performance test of the above-mentioned method shows that the predicted occurrence-time, location and magnitude are generally consistent with those of earthquakes actually occurred.
本文介绍虎皮鹦鹉震前异常行为定量化测量方法以及如何预测未来地震的发震时间。
In this paper we introduced the abnormal behaviors of budgerigar before strong earthquakes, and the quantificational measurement, and we also introduced how to predict the.
同时应用可公度模型和“带头地震”的异年倍九法联合对本区中强震发震时间进行分析预测。
By applying commensurable model and the leading earthquake, analysis and prediction have been made in detail.
研究发现地震波参数空间分布图能有效地确定预测地震的地点，而地震波参数时序与空间图的有机结合将对判定地震震级和发震时间起到积极作用。
The author has found the spatial distribution of seismic wave parameters can determine the place of predicting earthquake, and it is useful to determine the magnitude and time.
重力场的这一空间与时间分布特征为用重力复测手段预报强震发震的时间与地段提供了依据。
The spatial and temporal features of gravity field provide an evidence for predicting the occurrence and site of a strong earthquake by means of repeated gravity measurements.
结果表明，地震前其时间分布形态为持续低值异常—恢复—再次下降—拉锯式回升—发震。
The results show that temporal distribution is dropping to a low value anomaly for a while recovery dropping again zigzag recovery earthquake occurrence.
结果表明，地震前其时间分布形态为持续低值异常—恢复—再次下降—拉锯式回升—发震。
The results show that temporal distribution is dropping to a low value anomaly for a while recovery dropping again zigzag recovery earthquake occurrence.
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