Results 21 to 30 of about 7,336 (254)
Geochemistry, Geophysics, Geosystems, 2023 Slow slip events in the northern Hikurangi margin of Aotearoa New Zealand occur every 18–24 months and last for several weeks before returning to average convergence rates of around 38 mm/yr.
Jefferson Yarce +2 more
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Induced Seismicity Completeness Analysis for Improved Data Mining
Frontiers in Earth Science, 2021 The study of induced seismicity at sites of fluid injection is paramount to assess the seismic response of the earth’s crust and to mitigate the potential seismic risk. However statistical analysis is limited to events above the completeness magnitude mc,
Arnaud Mignan, Arnaud Mignan
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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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Earthquake Detection at the Edge: IoT Crowdsensing Network
Information, 2022 State-of-the-art Earthquake Early Warning systems rely on a network of sensors connected to a fusion center in a client–server paradigm. The fusion center runs different algorithms on the whole data set to detect earthquakes. Instead, we propose moving computation to the edge, with detector nodes that probe the environment and process information from ...
Bassetti, Enrico, Panizzi, Emanuele
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Shapelets for earthquake detection
CoRR, 2019 This paper introduces EQShapelets (EarthQuake Shapelets) a time-series shape-based approach embedded in machine learning to autonomously detect earthquakes. It promises to overcome the challenges in the field of seismology related to automated detection and cataloging of earthquakes.
Monica Arul, Ahsan Kareem
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Earthquake Science, 2023 In recent years, artificial intelligence technology has exhibited great potential in seismic signal recognition, setting off a new wave of research. Vast amounts of high-quality labeled data are required to develop and apply artificial intelligence in ...
Ming Zhao +3 more
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Earthquake Science, 2023 Seismic phase pickers based on deep neural networks have been extensively used recently, demonstrating their advantages on both performance and efficiency. However, these pickers are trained with and applied to different data.
Ziye Yu, Weitao Wang, Yini Chen
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Frontiers in Earth Science, 2023 Accurate detection of P-wave arrivals has important applications in real-time seismic data processing, such as earthquake monitoring and earthquake early warning. The Sichuan and Yunnan regions, where the China Seismic Experimental Site (CSES) is located,
Boren Li +6 more
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Distributed sensor for earthquake identification system to activate tsunami shelter finding system [PDF]
E3S Web of Conferences, 2021 Padang City as the capital of West Sumatera Province is at high risk of earthquakes and tsunamis due to its location between two continental plates and the Semangko Fault.
Ichwana Putra Dody +3 more
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Convolutional neural network for earthquake detection
CoRR, 2023 The recent exploitation of natural resources and associated waste water injection in the subsurface have induced many small and moderate earthquakes in the tectonically quiet Central United States. This increase in seismic activity has produced an exponential growth of seismic data recording, which brings the necessity for efficient algorithms to ...
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