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Earthquake early warning systems
, 2007 During the past few decades, economic losses and human casualties due to natural disasters increased exponentially on our planet, mainly because of the increased density of population and industry in high hazard areas. Although the prediction of earthquakes is not practicable yet, the present technology allows a prompt identification of the onset of ...
P. Gasparini, G. Manfredi, Jochen Zschau
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Crowd-Funded Earthquake Early-Warning System
2022 International Conference on Computational Science and Computational Intelligence (CSCI), 2022 Earthquake early warning systems has been proven to save countless lives in Japan, Mexico, and Chile, where earthquake warnings are often broadcast live on TV up to a minute before residents experience shaking. Unfortunately, traditional early warning systems require extensive capital investment.
Dy, Hudson Kaleb, Yeh, Hsi-Jen James
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PreSEIS: A Neural Network-Based Approach to Earthquake Early Warning for Finite Faults [PDF]
, 2008 The major challenge in the development of earthquake early warning (EEW) systems is the achievement of a robust performance at largest possible warning time.
Böse, Maren +2 more
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The Effects of Earthquake Experience on Intentions to Respond to Earthquake Early Warnings
Frontiers in Communication, 2022 Warning systems are essential for providing people with information so they can take protective action in response to perils. Systems need to be human-centered, which requires an understanding of the context within which humans operate.
Julia S. Becker +6 more
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Frontiers in Earth Science, 2020 Earthquake Network is a citizen science research project implementing an earthquake early warning system based on smartphone crowdsourcing. People join the project by installing a smartphone application and they receive real time alerts when earthquakes ...
Francesco Finazzi
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International Journal of Technology, 2023 Earthquake is a natural hazard causing significant damage and loss of lives. In recent years, there has been a growing interest in the development of earthquake early warning system, using machine learning methods.
Hapsoro Agung Nugroho +2 more
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Comparison of instrument intensities using three different methods of Japan
地震科学进展, 2020 More available warning time and a quicker rapid intensity reporting after earthquake are of great significance to the earthquake early warning system and the after earthquake rescue.
Shuyuan Guan, Zhendong Shan, Rong Ma
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Trans-national earthquake early warning (EEW) in north-eastern Italy, Slovenia and Austria: first experience with PRESTo at the CE3RN network [PDF]
Advances in Geosciences, 2015 The region of central and eastern Europe is an area characterised by a relatively high seismic risk. Since 2001, to monitor the seismicity of this area, the OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale) in Italy, the Agencija ...
M. Picozzi +7 more
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The UNESCO-IOC framework – establishing an international early warning infrastructure in the Indian Ocean region [PDF]
, 2010 The Sumatra-Andaman earthquake with a magnitude of 9.3, and the subsequent destructive tsunami which caused more than 225 000 fatalities in the region of the Indian Ocean, happened on 26 December 2004.
J. Lauterjung +3 more
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A P wave-based, on-site method for earthquake early warning [PDF]
, 2015 A new strategy for a P wave-based, on-site earthquake early warning system has been developed and tested on Japanese strong motion data. The key elements are the real-time, continuous measurement of three peak amplitude parameters and their empirical ...
Caruso, A. +4 more
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