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Titlebook: Early Warning for Geological Disasters; Scientific Methods a Friedemann Wenzel,Jochen Zschau Book 2014 Springer-Verlag Berlin Heidelberg 20

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發(fā)表于 2025-3-21 19:06:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Early Warning for Geological Disasters
副標(biāo)題Scientific Methods a
編輯Friedemann Wenzel,Jochen Zschau
視頻videohttp://file.papertrans.cn/301/300821/300821.mp4
概述This will be the only book available that addresses early warning for geological disasters, with emphasis on earthquakes from a global perspective.This is the first book that bridges the gap between r
叢書名稱Advanced Technologies in Earth Sciences
圖書封面Titlebook: Early Warning for Geological Disasters; Scientific Methods a Friedemann Wenzel,Jochen Zschau Book 2014 Springer-Verlag Berlin Heidelberg 20
描述.The past years have seen new technologies that could be utilized for early warning and real-time loss estimation. They include self-organizing sensor networks, new satellite imagery with high resolution, multi-sensor observational capacities, and crowd sourcing. From this and improved physical models, data processing and communication methodologies a significant step towards better early warning technologies has been achieved by research..At the same time, early warning systems became part of the disaster management practice for instance in Japan and Indonesia. This book marks the important point where:.Research activities continue to improve early warning .Experience with applications is expanding.At this critical point in development of early warning for geological disasters it is timely to provide a volume that documents the state-of-the-art, provides an overview on recent developments and serves as knowledge resource for researcher and practitioners..
出版日期Book 2014
關(guān)鍵詞disaster mitigation; early warning; earthquake engineering; earthquake warning; geological disaster; geot
版次1
doihttps://doi.org/10.1007/978-3-642-12233-0
isbn_softcover978-3-642-42940-8
isbn_ebook978-3-642-12233-0Series ISSN 2190-1635 Series E-ISSN 2190-1643
issn_series 2190-1635
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

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Advanced Technologies in Earth Scienceshttp://image.papertrans.cn/e/image/300821.jpg
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https://doi.org/10.1007/978-3-642-99526-2enerating a devastating tsunami, that killed more than 16,000 people. Before the strong ground motion hit the cities, the Japan Meteorological Agency (JMA) issued Earthquake Early Warning (EEW) announcements to the general public of the Tohoku district; the warning then was automatically broadcast t
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https://doi.org/10.1007/978-3-662-42560-2stem. A Decision Module combines estimates and uncertainties determined by three algorithms implemented in parallel, . Onsite, Virtual Seismologist, and ElarmS, to calculate and report at a given time the most probable earthquake magnitude and location, as well as the likelihood of correct alarm. A
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über Meteorographen für aerologische Zwecke Alert System of Oaxaca City (SASO) that started its services in 2003. The SAS generates automatic broadcasts of Public and Preventive Alert Signals to the cities of Mexico, Toluca, Acapulco and Chilpancingo, and SASO by now only to Oaxaca City. Historically in Mexico City, due to their great distan
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,Chronologische Literaturübersicht,first reported implementation of a EEWS in Europe is the on-site system designed to protect the Ignalina nuclear power plant in Lithuania. At the beginning of this century, some research groups in Europe started to develop EEW to protect the cities of Istanbul and Bucharest and the territory of Camp
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https://doi.org/10.1007/978-3-7091-3962-2the PRobabilistic and Evolutionary early warning SysTem (PRESTo) software platform. PRESTo processes 3-components acceleration data streams and provides a peak ground-motion prediction at target sites based on earthquake location and magnitude computed from P-wave analysis at few stations in the sou
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