Earthquake Detection in a Static and Dynamic Environment Using Supervised Machine Learning and a Novel Feature Extraction Method [PDF]
Sensors, 2020 Detecting earthquakes using smartphones or IoT devices in real-time is an arduous and challenging task, not only because it is constrained with the hard real-time issue but also due to the similarity of earthquake signals and the non-earthquake signals ...
Irshad Khan +2 more
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BLESeis: Low-Cost IoT Sensor for Smart Earthquake Detection and Notification [PDF]
Sensors, 2020 The Internet of Things (IoT) has been implemented to provide solutions for certain event detection because of ease of installation, computing and communication capability, and cost-effectiveness. Seismic event detection, however, is still a challenge due
Jongbin Won +3 more
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Convolutional neural network for earthquake detection and location [PDF]
Science Advances, 2018 ConvNetQuake is the first neural network for detection and location of earthquakes from seismograms.
Thibaut Perol +2 more
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Unsupervised anomaly detection for earthquake detection on Korea high-speed trains using autoencoder-based deep learning models [PDF]
Scientific ReportsWe propose a method for detecting earthquakes for high-speed trains based on unsupervised anomaly-detection techniques. In particular, we utilized autoencoder-based deep learning models for unsupervised learning using only normal training vibration data.
Jeonguk Seo +5 more
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Time-Frequency-Based Separation of Earthquake and Noise Signals on Real Seismic Data: EMD, DWT and Ensemble Classifier Approaches [PDF]
SensorsEarthquakes are sudden and destructive natural events caused by tectonic movements in the Earth’s crust. Although they cannot be predicted with certainty, rapid and reliable detection is essential to reduce loss of life and property.
Yunus Emre Erdoğan, Ali Narin
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Earthquake detection through computationally efficient similarity search [PDF]
Science Advances, 2015 Data mining techniques applied to continuous waveforms reveal many previously unknown small earthquakes.
Clara E. Yoon +3 more
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Geofluids, 2020 The seismotectonically induced changes in groundwater radon (Rn) are considered to be strong imputes for the surveillance of imminent major earthquakes. Groundwater facilitates the migration of soil gases as a result of tectonic stresses. In this regard,
Aftab Alam +3 more
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2017年漾濞MS4.8和MS5.1地震序列的微震检测及重定位
Dizhen xuebao, 2020 基于云南地震台网记录到的2017年漾濞MS4.8和MS5.1地震序列的地震目录和波形数据，采用结合波形互相关的双差定位方法得到了MS5.1主震前7天至主震后30天共258次地震事件更加准确的震源位置，然后利用匹配定位方法获得了更加丰富的地震目录，并对其余震活动的时空演化特征进行了初步分析。双差重定位获得了漾濞地震序列中193次地震的精确位置，水平方向和垂直方向的定位误差均值分别为1.3 km和1.9 km，重定位及震源机制解反演结果显示维西—乔后断裂中南段应为此次地震的发震断层 ...
Jiao Li, Jinzhong Jiang, Jingqiong Yang
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Bayesian Detection of Streamflow Response to Earthquakes [PDF]
Water Resources Research, 2021 AbstractDetecting whether and how river discharge responds to strong earthquake shaking can be time‐consuming and prone to operator bias when checking hydrographs from hundreds of gauging stations. We use Bayesian piecewise regression models to show that up to a fifth of all gauging stations across Chile had their largest change in daily streamflow ...
Oliver Korup +2 more
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Using high resolution optical imagery to detect earthquake-induced liquefaction: the 2011 Christchurch earthquake [PDF]
, 2020 Using automated supervised methods with satellite and aerial imageries for liquefaction mapping is a promising step in providing detailed and region-scale maps of liquefaction extent immediately after an earthquake.
Baise, Laurie G. +2 more
core +1 more source