共查询到19条相似文献，搜索用时 625 毫秒
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目前时间序列分析在工业及水文、气象、地球物理等自然科学领域中得到了迅速发展。本文用非线性门限自回归及最大熵谱分析方法分析了我国年最大震级和全球年地震能量释放序列。最大熵谱分析具有分辨率高、周期偏移小的突出优点。对1897年至1983年的我国最大震级和全球年地震能量序列进行了最大熵谱分析,计算结果表明,我国年最大震级的周期为3.9年,全球年地震能量的显著周期为7.7年、4.4年、2.9年、及2.3年。对上述序列进行了门限自回归分析,并对我国分区年最大震级序列进行了门限自回归分析。在门限延迟值d=4,8,10时相应的AIC值为谷值。 相似文献
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叙述门限自回归模型建模的基本原理及步骤,利用东北地区年最大震级序列数据建立门限自同归模型SETAR(2,4,3),并依此对东北地区未来可能发生的最大地震进行预测.结果表明,该模型预测精度较高,其研究结论对东北地区未来地震活动趋势预测具有参考意义. 相似文献
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本文应用Ａ．Ｇ．Ｌｖａｋｈｎｅｎｋｏ提出的数据处理的分组方法的基本思想，以生物有机体演化的方法，给出了一种自动选择模型的最佳形式和参数，构造高阶自回归模型的方法，并用此方法对南北地震带年最高震级序列做了建模和预测，效果较好。利用上述方法，本文还对南北地震带未来５年最高震级作了预报。 相似文献
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基于PPAR模型视二维地震时间序列预测的初步研究 总被引：2，自引：0，他引：2
PP投影寻踪是一种长于分析非正态、非线性的高维数据的新统计方法,它通过投影降维,客观地寻找反映高维数据结构特征的投影方向,从而解决“维数祸根”和高维数据间的非正态、非线性问题。将PP理论和时间序列分析中的自回归(AR(K))模型结合起来,建立投影寻踪自回归预测模型(PPAR)。尝试实现地震震级和时间的视二维预测,即在固定研究区里。实现震级和时间二要素的预测,进而建立视二维地震时间序列的投影寻踪自回归模型。研究中首先选取北天山地区作为实验区,模型的回归拟合和外符检验效果较理想,可实现视二维预测目标。考虑到实际预测意义。即中强地震的预测,又以天山地区为研究区。令其震级序列的震级阈值分别为5．0和5．5,分别以未删除余震和删除余震的序列建立模型。对比分析表明,后所建立的模型要优于前的模型。特别是对时间间隔序列的预测。两外符检验的合格率均较高,故认为对于震级和时间二要素的预测是有一定实效的。 相似文献
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采用"自激励门限自回归模型"(SETAR)对山西、河北平原带及郯庐带1970年以来半年度最高震级序列进行了分析计算,给出了1998年以来山西、河北平原带及郯庐带半年度最高预测震级。结果表明,该模型对半年度地震趋势预测具有良好的预测效果,这种建模方法有效,模型可信。 相似文献
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采用"自激励门限自回归模型"(SETAR)对山西1970年以来年度最高震级序列进行了分析计算,给出了1998年以来年度最高预测震级,结果表明,该模型对年度地震趋势预测具有良好的预测效果,这种建模方法有效,模型可信. 相似文献
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时间序列的投影寻踪自回归在新疆地震预报中的应用 总被引：8，自引：0，他引：8
选取新疆各分区一年和半年最大震级时间序列资料 ,运用投影寻踪自回归方法 ,建立相应的中、短期预测模型。并把预测模型应用于新疆年中和年度地震趋势分析 ,其预测结果是可信的 ,有一定的现实意义。 相似文献
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东南沿海地震形势分析 总被引：2，自引：0，他引：2
研究１９００年以来东南沿海地震活动序特征，并进行了地震活动分幕，结果表明，１９８６年开始进入了本世纪以来的第Ｖ地震活跃幕，本活跃幕将延至２０００年左右，期间有发生６级左右地震的危险，最大可能的发震区是闽粤交界及其沿海地区。 相似文献
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We examined forecasting quiescence and activation models to obtain the conditional probability that a large earthquake will occur in a specific time period on different scales in Taiwan. The basic idea of the quiescence and activation models is to use earthquakes that have magnitudes larger than the completeness magnitude to compute the expected properties of large earthquakes. We calculated the probability time series for the whole Taiwan region and for three subareas of Taiwan—the western, eastern, and northeastern Taiwan regions—using 40 years of data from the Central Weather Bureau catalog. In the probability time series for the eastern and northeastern Taiwan regions, a high probability value is usually yielded in cluster events such as events with foreshocks and events that all occur in a short time period. In addition to the time series, we produced probability maps by calculating the conditional probability for every grid point at the time just before a large earthquake. The probability maps show that high probability values are yielded around the epicenter before a large earthquake. The receiver operating characteristic (ROC) curves of the probability maps demonstrate that the probability maps are not random forecasts, but also suggest that lowering the magnitude of a forecasted large earthquake may not improve the forecast method itself. From both the probability time series and probability maps, it can be observed that the probability obtained from the quiescence model increases before a large earthquake and the probability obtained from the activation model increases as the large earthquakes occur. The results lead us to conclude that the quiescence model has better forecast potential than the activation model. 相似文献
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Z. X. Xu J. Y. Li K. Ito 《Stochastic Environmental Research and Risk Assessment (SERRA)》1998,12(1):53-64
Since the introduction into flood risk analysis, the partial duration series method has gained increasing acceptance as an
appealing alternative to the annual maximum series method. However, when the base flow is low, there is clustering in the
flood peak or flow volume point process. In this case, the general stochastic point process model is not suitable to risk
analysis. Therefore, two types of models for flood risk analysis are derived on the basis of clustering stochastic point process
theory in this paper. The most remarkable characteristic of these models is that the flood risk is considered directly within
the time domain. The acceptability of different models are also discussed with the combination of the flood peak counted process
in twenty years at Yichang station on the Yangtze river. The result shows that the two kinds of models are suitable ones for
flood risk analysis, which are more flexible compared with the traditional flood risk models derived on the basis of annual
maximum series method or the general stochastic point process theory.
Received: September 29, 1997 相似文献
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Since the introduction into flood risk analysis, the partial duration series method has gained increasing acceptance as an
appealing alternative to the annual maximum series method. However, when the base flow is low, there is clustering in the
flood peak or flow volume point process. In this case, the general stochastic point process model is not suitable to risk
analysis. Therefore, two types of models for flood risk analysis are derived on the basis of clustering stochastic point process
theory in this paper. The most remarkable characteristic of these models is that the flood risk is considered directly within
the time domain. The acceptability of different models are also discussed with the combination of the flood peak counted process
in twenty years at Yichang station on the Yangtze river. The result shows that the two kinds of models are suitable ones for
flood risk analysis, which are more flexible compared with the traditional flood risk models derived on the basis of annual
maximum series method or the general stochastic point process theory.
Received: September 29, 1997 相似文献
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The earthquake magnitude was introduced into seismology nearly 40 yr ago, as a purely empirical concept. After an unparalleled success in scientific and practical applications the magnitude is developing into a concept with a clearer physical meaning and a more solid theoretical foundation. The magnitude determined from the maximum particle amplitude or velocity reflects the maximum radiation power of the seismic source in the frequency band recorded on a particular seismograph. Recently developed models for seismic sources assist in classifying earthquakes according to size and spectral character. From corresponding scaling laws the relations between various magnitude scales can be established. The magnitude aims at enabling one to compare the sizes of seismic sources ranging in character from nearly aseismic events to explosions. While the former are characterized by a relatively long-peroidic radiation maximum, the latter radiate primarily short-periodic seismic energy. Tectonic earthquakes are likely to range in character between the two extreme spectral cases. A comparison of earthquake magnitude with stellar magnitude leads to analogies in spectral character between earthquakes and stars, whereby seismic sources seem to follow a distribution similar to the Hertzsprung-Russell diagram for stars. Before seismological practice can catch up with the new cognitions, improvements in the definition of the earthquake magnitude are in need. 相似文献
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Ｔｈｅｒｅｓｅａｒｃｈｏｎｔｈｅｓｐａｃｅ┐ｔｉｍｅｃｏｈｅｒｅｎｃｅｏｆＸｉａｎｓｈｕｉｈｅｆａｕｌｔｚｏｎｅｉｎｔｈｅｐｒｏｃｅｓｏｆｓｅｉｓｍｏｇｅｎｙＳＨＩ－ＢＩＡＯＷＡＮＧ（王时标）ＺＨＥＮ－ＸＩＮＧＹＡＯ（姚振兴）Ｉｎｓｔｉｔｕｔｅｏｆ... 相似文献
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地震活动的简化模型研究 总被引：12，自引：3，他引：9
大陆地震活动带的地震活动表现为平静和活跃相交替的轮回活动特征,各轮回中强震活动呈现出时间和空间上的迁移特征。为了探索这种活动特征的机制,本文试图用数值模型来探讨在统一构造应力场作用下的地震活动带的地震活动特征。模拟中的事件表现出类似于实际地震活动的一些特征,例如震级—频度关系和地震平静—活跃的交替特征等。如果把模型中元件上接近破裂强度的高应力值与前兆加以联系的话,我们发现模型中的前兆变化具有复杂性。模型中大事件的前兆并不是集中在未来大震的周围,而是在整个系统中大范围内出现。系统中前兆出现的程度与地震大小之间没有确定的对应关系。统计表明从前兆出现的范围只能估计出未来发生地震的上限值。 相似文献
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本文利用中低纬日本地区(131°E,35°N)GPS-TEC格点化数据,分析了2001—2009年间109个共转相互作用区(CIR)事件、45个日冕物质抛射(CME)事件引起的地磁扰动期间电离层的响应.结果表明,电离层暴的类型随太阳活动的变化而有不同的变化,CIR事件引发的电离层正相暴、正负双相暴多发生在太阳活动下降年,负相暴多发生在高年,负正双相暴多发生在低年;CME事件引发的电离层正相暴和负相暴多发生在高年.CIR和CME引发的不同类型的电离层暴的季节性差异不大,在夏季多发生正负双相暴.电离层暴发生时间相对地磁暴的时延大部分在-6~6h之间,但CIR引发的电离层暴时延范围更广,在-12~24h之间,而CME引发的电离层暴时延主要在-6~6h之间.中低纬的电离层暴多发生在主相阶段,其中CIR引发的双相暴也会发生在初相阶段.电离层负暴多发生在AE最大值为800~1200nT之间.CIR引起的电离层扰动持续时间较长,一般在1~6天左右,而CME引起的电离层扰动持续时间一般在1~4天左右. 相似文献