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实时地震强度测量预测在地震预警中的应用:系统文献综述。

Real-Time Seismic Intensity Measurements Prediction for Earthquake Early Warning: A Systematic Literature Review.

机构信息

Institute of Geophysics, China Earthquake Administration, Beijing 100081, China.

Key Laboratory of Earthquake Source Physics, China Earthquake Administration, Beijing 100081, China.

出版信息

Sensors (Basel). 2023 May 25;23(11):5052. doi: 10.3390/s23115052.

DOI:10.3390/s23115052
PMID:37299778
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10255511/
Abstract

With the gradual development of and improvement in earthquake early warning systems (EEWS), more accurate real-time seismic intensity measurements (IMs) methods are needed to assess the impact range of earthquake intensities. Although traditional point source warning systems have made some progress in terms of predicting earthquake source parameters, they are still inadequate at assessing the accuracy of IMs predictions. In this paper, we aim to explore the current state of the field by reviewing real-time seismic IMs methods. First, we analyze different views on the ultimate earthquake magnitude and rupture initiation behavior. Then, we summarize the progress of IMs predictions as they relate to regional and field warnings. The applications of finite faults and simulated seismic wave fields in IMs predictions are analyzed. Finally, the methods used to evaluate IMs are discussed in terms of the accuracy of the IMs measured by different algorithms and the cost of alerts. The trend of IMs prediction methods in real time is diversified, and the integration of various types of warning algorithms and of various configurations of seismic station equipment in an integrated earthquake warning network is an important development trend for future EEWS construction.

摘要

随着地震预警系统(EEWS)的逐步发展和完善,需要更精确的实时地震烈度测量(IM)方法来评估地震烈度的影响范围。尽管传统的点源预警系统在预测震源参数方面取得了一些进展,但在评估 IM 预测的准确性方面仍显不足。本文通过综述实时地震 IM 方法,探讨该领域的现状。首先,我们分析了对最终地震震级和破裂起始行为的不同看法。然后,我们总结了与区域和现场预警相关的 IM 预测进展。分析了有限断层和模拟地震波场在 IM 预测中的应用。最后,根据不同算法测量的 IM 精度和警报成本,讨论了评估 IM 的方法。实时 IM 预测方法的趋势呈现多样化,各种类型的预警算法以及地震台站设备的各种配置在综合地震预警网络中的集成是未来 EEWS 建设的一个重要发展趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e93/10255511/35559394c61c/sensors-23-05052-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e93/10255511/995a4bcc830b/sensors-23-05052-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e93/10255511/5414972572fa/sensors-23-05052-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e93/10255511/35559394c61c/sensors-23-05052-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e93/10255511/995a4bcc830b/sensors-23-05052-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e93/10255511/5414972572fa/sensors-23-05052-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e93/10255511/35559394c61c/sensors-23-05052-g002.jpg

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