Early detection of earthquakes using iot and cloud infrastructure: A survey

MS Abdalzaher, M Krichen, D Yiltas-Kaplan… - Sustainability, 2023 - mdpi.com
Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …

Earthquake genesis and earthquake early warning systems: challenges and a way forward

R Kumar, H Mittal, Sandeep, B Sharma - Surveys in Geophysics, 2022 - Springer
Several natural hazards, including earthquakes, may trigger disasters and the presence of
disaster drivers further lead to the massive loss of life and property, every year around the …

Hybrid deep-learning network for rapid on-site peak ground velocity prediction

J Zhu, S Li, J Song - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
Rapidly and accurately predicting on-site peak ground velocity (PGV) is important for
earthquake hazard mitigation. Traditional methods used to predict PGV involve a single …

Real-time seismic intensity measurements prediction for earthquake early warning: A systematic literature review

Z Cheng, C Peng, M Chen - Sensors, 2023 - mdpi.com
With the gradual development of and improvement in earthquake early warning systems
(EEWS), more accurate real-time seismic intensity measurements (IMs) methods are needed …

Progress on the earthquake early warning and shakemaps system using low-cost sensors in Taiwan

H Mittal, BM Yang, YM Wu - Geoscience Letters, 2022 - Springer
Building an earthquake early warning (EEW) network requires the installation of seismic
instruments around the seismogenic zone. Using low-cost sensors to build a seismic …

Electrokinetically propelled digital pendulum for seismic alert

G Ye, Q Wu, Y Chen, X Wang, Y Wang, Y Tu… - Chemical Engineering …, 2024 - Elsevier
Abstract An Electrostatic Induction Pendulum (EIP) has been designed and developed for
the first time in the innovative construction and maintenance of earthquake prewarning …

Threshold-based earthquake early warning for high-speed railways using deep learning

J Zhu, W Sun, S Li, K Yao, J Song - Reliability Engineering & System Safety, 2024 - Elsevier
Earthquakes are disasters that threaten the operational safety of high-speed railways. To
obtain reliable alerts for the earthquake monitoring and early warning systems of high-speed …

[HTML][HTML] 基于机器学习预测模型的现地警报级别地震预警试验

宋晋东, 朱景宝, 李水龙, 王士成, 韦永祥, 李山有 - 地球物理学报, 2024 - dzkx.org
2022 年9 月5 日12 时52 分四川省甘孜州泸定县发生6.8 级地震, 造成严重的经济损失和人员
伤亡. 本文利用此次地震中台站记录到的强震动数据, 离线模拟基于机器学习预测模型的现地 …

[HTML][HTML] 2022 年1 月8 日青海门源6.9 级地震机器学习地震预警震级估计与现地阈值报警的回溯验证

宋晋东, 朱景宝, 韦永祥, 刘艳琼, 何斌, 李继龙… - 地球物理学报, 2023 - dsjyj.com.cn
2022 年1 月8 日1 时45 分青海省海北州门源县发生6.9 级地震, 周边地区普遍有感,
并导致多条高铁线路临时停运. 本文利用这次地震获取的大量烈度计加速度记录 …

Support Vector Machine-Based On-Site Prediction for China Seismic Instrumental Intensity from P-Wave Features

B Hou, S Li, J Song - Pure and Applied Geophysics, 2023 - Springer
The China seismic instrumental intensity can be used to measure the level of destruction
and serve as the foundation of earthquake early warning (EEW) systems. To indirectly …