b-Value Evaluation and Applications to Seismic Hazard Assessment.

IF 2 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Entropy Pub Date : 2025-09-15 DOI:10.3390/e27090958
Ying Chang, Rui Wang, Peng Han, Jinhong Wang, Miao Miao, Zhiyi Zeng, Weiwei Wu, Changsheng Jiang, Lingyuan Meng, Haixia Shi, Katsumi Hattori
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引用次数: 0

Abstract

Earthquake forecast and risk assessment are of key importance in reducing casualties and property losses. However, they have not been fully achieved due to the complexity of earthquakes. Numerous studies have explored the correspondence of the b-value with changes in effective stress, leveraging temporal and spatial variations to identify precursor characteristics of destructive events in both natural and induced seismic activities. However, robust interpretation of predictive b-values hinges on rigorous estimation, as biased results can mislead conclusions. This paper provides a comprehensive review of spatiotemporal b-value estimation methods alongside statistical significance tests. A pilot b-value analysis of natural earthquakes and induced seismicity manifested the valid impression. The expansion of monitoring datasets with the development of acquisition technology or dense array and advanced estimation methodology will augment the utility of b-value analysis in seismic research and hazard assessment.

b值评价及其在地震危险性评价中的应用。
地震预报和风险评估对减少人员伤亡和财产损失具有重要意义。然而,由于地震的复杂性,这些目标尚未完全实现。许多研究探索了b值与有效应力变化的对应关系,利用时间和空间变化来识别自然和诱发地震活动中破坏性事件的前兆特征。然而,对预测b值的稳健解释取决于严格的估计,因为有偏差的结果可能会误导结论。本文全面回顾了时空b值估计方法以及统计显著性检验。自然地震和诱发地震活动性的初步b值分析证实了这一有效印象。随着采集技术或密集阵列的发展和先进的估计方法的发展,监测数据集的扩大将增加b值分析在地震研究和灾害评估中的效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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