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Development of a Global Spatio-Temporal Seismicity Model and Its Application to the Vrancea Seismic Zone, Romania

机译:全球时空地震模型的发展及其在罗马尼亚范朗塞地震带的应用

摘要

This study investigates the temporal behaviour of major earthquakes in the Vrancea Seismic Zone (VSZ)in Romania. I used the Romplus catalogue, which is a compilation of several sources and spans the time from 984 AD to the year 2005 and in which the data are of different quality. This catalogue contains only Vrancean earthquakes and consists of more than 8000 events. Qualities 'A', 'B' and 'C' were used to model the data. 'D' and '=' were found as too unreliable for modeling. Using the b-value, I concluded that 3.5 is the correct cut-off magnitude for earthquakes after 1980 and at depths of 60 km and greater. Thereby I detected an increase in the b-value after 1986 of about 0.2 units. The reason for this increase could not be found. Plotting the Gutenberg-Richter relation for several time and depth intervals, it was found that at larger depths than 60 km, there are too many M7 earthquakes as compared to small shocks. The shape of the Gutenberg-Richter relation is similar as to the one expected by the characteristic earthquake model(Schwarz and Coppersmith, 1984; Wesnousky, 1994). A strike of 53 degree was found and theearthquake coordinates were rotated correspondingly. The resulting view on the slabshowed the confined volume in which the earthquakes happen and well as the 'aseismicpart' of the slab between 40 km and 60 km of depth. The seismicity seems to reach a depth of 180 km. Only the earthquakes in the slab, below a depth of 60 km, show clustering behaviour. Furthermore, the M7 earthquakes all happened in the slab. Thus, a depth limit of 60 km was introduced for modeling. In order to find aftershocks in the catalogue, the temporal behaviour of the Vrancea earthquakes was examined. The mean magnitude increases after each major earthquake, indicating an aftershock process. This was confirmed by the rate of occurrence, which showed an increase in rateafter the 1990 earthquakes. The rate of occurrence is too low for the first 580 days after1980, possibly due to insufficient earthquake detection in this period of time. All the damaging M7 earthquakes all happened in the slab. Thus, shallow earthquakes had to be considered separately. A depth limit of 60 km was introduced and earthquake in shallower and deeper depths were considered separately. For the shallowearthquakes there was a sharp increase in the apparent b-value below the cut-off magnitude of 3.5. After reaching a value of 2.4, the b-value starts to fall steeply. This was attributed to biases in the magnitude calculation. I used the rounded value of 3.5 as a cut-off magnitude for the shallow earthquakes. Having found the magnitude cut-off, depth and time limit, modeling could be started. The model gives two important parameters: the proportion of aftershock and the time to the next earthquake. Using the Maximum Likelihood Method, a best fit was found for a data set starting at 1980 andconsisting of earthquakes with a cut-off magnitude of 3.5 and a depth equal and greaterthan 60 km. According to the model, this data set consists of 13 plus or minus 5% aftershocks and has an inter-event time for new earthquakes of 13 plus or minus 1 days. Using several cut-off magnitudes, it was found that the calculated inter-event time for these earthquakes is consistent with the Gutenberg-Richter law. In contrast, the predicted value for the interevent time of M7 earthquakes does not match the one found in the catalogue. While the Maximum Likelihood Method leads to 814 years as recurrence time, the data shows a recurrence time of only 23 years. The model fits the data set of the 1990 aftershocks very well, too, leading to a aftershock proportion of 58 plus or minus 15%. The data set for the 1986 did not lead to good results, probably due to missing aftershocks shortly after the mainshock. Comparing model and data with a pure Poisson model I could see that earthquakes tend to cluster in the first days after the major event. Several days later, their behaviour changes and then is similar to the one proposed by the seismic gap model. Looking at the ratio between the probabilities of the model of Smith andChristophersen and of the Poisson model, a clustering behaviour in the first 24 hoursafter the main shock was found, followed by a decreased seismicity, which reverts to bePoissonian after 100 days. Thus, I concluded that aftershock behaviour is only relevant after the first 24 hours following a major earthquake. After 24 hours, seismic hazard decreases to be less than as expected by the Poisson model in the following 100 days, until seismicity returns to be Poissonian again. Additionally, I suggest that the 1990 earthquake and its aftershocks should be considered as a 'model earthquake' for futureearthquakes as it seems to be representative for earthquake behaviour in the VSZ.
机译:这项研究调查了罗马尼亚Vrancea地震带(VSZ)中的大地震的时空行为。我使用了Romplus目录,该目录是多个来源的汇编,涵盖了从984 AD到2005年的时间,其中的数据质量不同。此目录仅包含Vrancean地震,并且包含8000多个事件。使用质量“ A”,“ B”和“ C”对数据进行建模。发现'D'和'='对于建模太不可靠。利用b值,我得出结论:3.5是1980年以后,60 km及更大深度地震的正确截止强度。因此,我发现1986年后b值增加了约0.2个单位。找不到增加的原因。绘制几个时间间隔和深度间隔的古腾堡-里希特关系,发现深度大于60 km时,与小震相比,M7地震太多。古腾堡-里希特关系的形状与特征地震模型所预期的相似(Schwarz and Coppersmith,1984; Wesnousky,1994)。发现了53度的走向,并相应地旋转了地震坐标。平板上的最终视图显示了地震发生的局限空间,以及平板在40 km至60 km深度之间的“抗震部分”。地震力似乎达到了180 km的深度。只有平板中深度小于60 km的地震才表现出聚集现象。此外,M7地震都发生在平板中。因此,引入了60 km的深度限制进行建模。为了在目录中查找余震,研究了Vrancea地震的时空行为。每次大地震后,平均震级都增加,表明发生了余震过程。发生率证实了这一点,1990年地震后发生率呈上升趋势。 1980年后的前580天,发生率太低了,这可能是由于这段时期内地震检测不足所致。所有破坏性的M7地震都发生在平板中。因此,浅地震必须分开考虑。引入了60 km的深度限制,并分别考虑了较浅和较深的地震。对于浅地震,表观b值在临界值3.5以下急剧增加。达到2.4的值后,b值开始急剧下降。这归因于幅度计算中的偏差。我使用3.5的四舍五入值作为浅层地震的临界值。找到幅度极限,深度和时间限制后,就可以开始建模了。该模型提供了两个重要参数:余震的比例和下次地震的时间。使用最大似然法,发现了一个最合适的数据集,该数据集始于1980年,由截止强度为3.5且深度等于或大于60 km的地震组成。根据模型,该数据集由13个正负5%余震组成,新地震的事件间时间为13个正负1天。使用几个临界值,发现这些地震的事件间时间与古腾堡-里希特定律是一致的。相反,M7地震的事件间隔时间的预测值与目录中的预测值不匹配。虽然最大似然法可得出814年的复发时间,但数据显示其复发时间仅为23年。该模型也非常适合1990年余震的数据集,导致余震比例为58%上下15%。 1986年的数据集未取得良好的结果,可能是由于在主震后不久就遗漏了余震。将模型和数据与纯泊松模型进行比较,我可以看到,地震在主要事件发生后的头几天倾向于聚集。几天后,它们的行为发生变化,然后类似于地震缝隙模型提出的行为。查看Smith和Christophersen模型与Poisson模型的概率之比,发现主震后24小时内出现聚类行为,然后地震活动性降低,并在100天后恢复为泊松分布。因此,我得出的结论是,余震行为仅在发生大地震后的前24小时才有意义。 24小时后,在接下来的100天内,地震危险性降低至小于Poisson模型所预期的水平,直到地震活动性再次恢复为Poissonian为止。此外,我建议将1990年地震及其余震视为未来地震的“模范地震”,因为它似乎可以代表VSZ的地震行为。

著录项

  • 作者

    Scholz Nastasja Anais;

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  • 年度 2007
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  • 正文语种 en_NZ
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