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Machine learning and earthquake forecasting-next steps. [PDF]
A new generation of earthquake catalogs developed through supervised machine-learning illuminates earthquake activity with unprecedented detail. Application of unsupervised machine learning to analyze the more complete expression of seismicity in these ...
Beroza GC, Segou M, Mostafa Mousavi S.
europepmc +2 more sources
The northeastern margin of the Qinghai-Xizang Plateau, as the primary tectonic front accommodating plateau expansion, represents a crucial region for investigating plateau uplift and lateral growth mechanisms.
Yangyang Diao +4 more
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Quantitative investigation of major fault zones with low slip rates and long recurrence intervals in densely populated regions is essential for understanding earthquake recurrence and assessing seismic hazard.
Qinghai Wei +10 more
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Unmanned aerial systems (UASs) are increasingly playing a crucial role in earthquake emergency response and disaster assessment due to their ease of operation, mobility, and low cost.
Kangsan Yu +3 more
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The Pattern Informatics Method (PI) was initially developed for medium-to-long-term earthquake prediction by analyzing changes in seismic activity. It has since been refined and extended to identify ionospheric anomalies associated with earthquakes ...
Maoning Feng +6 more
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2017年8月9日精河MS6.6地震余震序列精定位及发震构造分析
为确定2017年8月9日精河MS6.6地震的发震构造,本文使用双差定位方法对发震时刻至2017年10月震源区所发生的余震进行了精定位,同时利用CAP波形反演方法,得到了主震的震源机制解,同时使用GPAT方法反演得到了部分余震的震源机制解,并基于两者对本次地震的发震构造予以分析。结果显示:精定位后主震位于(44.27°N,82.85°E),震源深度为17 km;主震最佳双力偶解对应的节面Ⅰ的走向为260°、倾角为51°、滑动角为84°,节面Ⅱ的走向为89.5°、倾角为39.4°、滑动角为97.4 ...
Liang Zhai, Xiaodong Zhang, Weijun Wang
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This study develops a wavelet maxima-based methodology to extract anomalous signals from microwave brightness temperature (MBT) observations for seismogenic activity.
Haochen Wu +4 more
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Laboratory earthquake forecasting: A machine learning competition. [PDF]
Johnson PA +13 more
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Progress in mantle anisotropy research based on XKS phases
XKS shear-wave splitting has been widely applied to investigations of anisotropy in both the upper mantle and the lowermost mantle D" layer, and represents a key tool for probing mantle deformation and dynamics.
Junshu Wang +4 more
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