评估EMSC证据数据库的可靠性及其在爱琴海地区近实时地震地图生成方面的潜在用途

IF 1.6 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Journal of Seismology Pub Date : 2024-10-07 DOI:10.1007/s10950-024-10250-3
Michail Ravnalis, Costas Papazachos, Christos Papaioannou, Remy Bossu, Charalampos Kkallas, Christos Evangelidis, Petros Triantafyllidis, Kiriaki Konstantinidou
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引用次数: 0

摘要

我们研究了爱琴海地区近期大地震的大震和强震数据联合解释的可能性。我们使用了来自EMSC证词的宏观地震信息,以及从两个希腊研究所(ITSAK和GEIN-NOA)提供的在线资源中提取的强震信息。EMSC见证数据库(https://www.seismicportal.eu/testimonies-ws/)是一个广泛使用的重大地震损害分布清单。首先,利用Papazachos和Papaioannou的经验关系,将收集到的数据与预测的宏观地震烈度进行比较(J Seismol 1:181-201, 1997)。虽然发现观测数据和模型数据之间的相关性令人满意,但从报道的EMSC证据中得出的非常高和非常低的强度值存在明显的系统偏差。采用蒙特卡罗模拟方法来确定这种偏差的来源,表明这是由于EMSC数据的大分散和所使用的宏观地震尺度的限制。为了最大限度地减少这种影响,EMSC数据集采用了空间分组和平滑方法,从而显著提高了与可用的独立强运动估计(如PGA和PGV)的相关性。利用这种相关性,我们通过几个例子证明,有可能重建爱琴海强震破坏模式的主要特征。这是通过对原始大地震数据集进行适当处理后,共同分析快速众包的EMSC数据和强运动信息来实现的。
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Assessing the reliability of the EMSC testimonies database and its potential use for the generation of near-real-time ShakeMaps in the Aegean area

We investigate the possibility of combined interpretation of macroseismic and strong-motion data for recent large earthquakes in the Aegean area. We employ macroseismic information derived from EMSC testimonies, as well as strong-motion information extracted from online sources provided by two Greek institutes (ITSAK and GEIN-NOA). The EMSC testimonies database (https://www.seismicportal.eu/testimonies-ws/) is a widely used inventory for the damage distribution of significant earthquakes. The collected data were first compared with the predicted macroseismic intensities using the empirical relation of Papazachos and Papaioannou (J Seismol 1:181–201, 1997) While the correlation between the observed and modeled data was found to be satisfactory, a systematic bias is evident for very high and very low values intensities derived from the reported EMSC testimonies. A Monte Carlo simulation approach was employed to identify the source of this bias, suggesting that it is a result of the large scatter of the EMSC data and the limits of the macroseismic scale used. To minimize this effect, a spatial grouping and smoothing approach was adopted for the EMSC dataset, resulting in significantly improved correlations with the available independent strong motion estimates, such as PGA and PGV. Using this correlation, we demonstrate through several examples that it is possible to reconstruct the main features of the damage pattern for strong earthquakes in the Aegean. This is achieved by jointly analyzing rapidly crowdsourced EMSC data and strong motion information, after appropriate processing of the raw macroseismic dataset.

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来源期刊
Journal of Seismology
Journal of Seismology 地学-地球化学与地球物理
CiteScore
3.30
自引率
6.20%
发文量
67
审稿时长
3 months
期刊介绍: Journal of Seismology is an international journal specialising in all observational and theoretical aspects related to earthquake occurrence. Research topics may cover: seismotectonics, seismicity, historical seismicity, seismic source physics, strong ground motion studies, seismic hazard or risk, engineering seismology, physics of fault systems, triggered and induced seismicity, mining seismology, volcano seismology, earthquake prediction, structural investigations ranging from local to regional and global studies with a particular focus on passive experiments.
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