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rtl方法
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     METHODS:This study was separated into two parts:
     方法:
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     Method
     方法
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     Verilog RTL Model
     Verilog RTL模型
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     A RTL DESCRIPTION FOR THE FINITE AUTOMATON M
     有限自动机M的RTL描述
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     Analyze the RTL Representation Form
     RTL表现形式分析
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  rtl algorithm
The Region-Time-Length Algorithm (RTL algorithm) is introduced and improved in the paper.
      
The retrospective examinations of RTL algorithm in North China have indicated that the anomalies obtained by the improved RTL algorithm show the short or intermediate-short term precursory features in most cases.
      
According to statistical examination results of RTL algorithm in North China, the methods to distinguish the intermediate and short-term anomalies and to estimate the occurrence time of the coming main shock are given in the paper.
      
A sketch of the stochastic test for the seismicity anomaly revealed by the RTL algorithm.
      
Thus, the RTL algorithm is an effective tool for revealing seismicity pattern changes before strong earthquakes.
      
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Based on the study results of literature (regarding the Region-Time-Length algorithm and its application in North China), the improved RTL algorithm has been used to do the RTL spatial scanning for 35 moderately strong earthquakes (M_S≥5.0) in North China area. The results show that for 24 of 35 earthquake samples, the obvious RTL anomaly appears at the epicentral area, or at the surrounding regions but nearby the mainshock (the distance from anomalous area to mainshock is smaller than 1°, most of them are...

Based on the study results of literature (regarding the Region-Time-Length algorithm and its application in North China), the improved RTL algorithm has been used to do the RTL spatial scanning for 35 moderately strong earthquakes (M_S≥5.0) in North China area. The results show that for 24 of 35 earthquake samples, the obvious RTL anomaly appears at the epicentral area, or at the surrounding regions but nearby the mainshock (the distance from anomalous area to mainshock is smaller than 1°, most of them are smaller than 0.5°) during 3 months before the mainshock. In this case, the potential site of coming mainshock could be roughly judged according the RTL anomaly distribution. For 3 of 35 earthquake samples, the RTL anomaly appears at the epicentral area during the 4~12 months before the mainshock. But during 3 months before the mainshock, the anomaly at the epicentral area disappears and migrates to outside region surrounding the mainshock. For 8 of 35 earthquake samples, there is not any TRL anomaly found in the region surrounding the mainshock during 1 year before the mainshock. In other words, the 3 months short-term RTL anomaly is remarkable for about 69% among total earthquake samples, and the ratio for 1 year moderate and short-term anomaly is about 77%, and no RTL anomaly occurrence within one year accounts for 23% of the total earthquake samples. Our study results also show that, for a few earthquake samples, the obvious RTL anomaly appears at the epicentral area during the 3 months short-term before the mainshock, but in the same time the RTL anomaly also appears in the other regions, this will bring more difficulty for the site judgment of the coming earthquakes. The approximate computing approaches and rough indexes for judgment of RTL anomaly will be given at the end of the paper.

基于文献[1]("区域 时间 长度算法")的研究成果,利用改进的RTL算法在较大范围内对华北地区35次震例开展RTL空间扫描研究。结果显示,24次震例主震前3个月内在覆盖主震的区域、或在主震周围但与之相距较近的区域(两者之间距离小于1°,大多数在0.5°以下),有明显的RTL异常显示,据此可粗略判定未来可能的主震位置。3次震例在震前4~12个月内震中区有RTL异常,但震前3个月内震中区异常消失,异常迁移至主震震中外围。8次震例震前1年内震中附近区域没有RTL异常显示。从比例来看,3个月内有短期RTL异常的震例占69%,1年内有中短期RTL异常显示的占77%,1年内无异常的占23%。研究结果还显示,少数震例在3个月的短期阶段尽管有覆盖未来主震的、较明显的RTL异常,但同时在研究区域内还存在另外的RTL异常区,这给地点判定带来困难。文中最后给出实际工作中应用RTL方法进行地震短期预测的大致计算步骤及粗略的预测指标。

 
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