Early Warning for Geological Disasters : Scientific Methods and Current Practice
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 model...
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| Autor*in: |
Wenzel, Friedemann [verfasserIn] Zschau, Jochen - 1944- [hrsg] |
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| Format: |
E-Book |
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| Sprache: |
Englisch |
| Erschienen: |
Berlin, Heidelberg s.l.: Springer Berlin Heidelberg ; 2014 |
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| Schlagwörter: |
Erdbebenvorhersage / Tsunami / Rutschung / Frühwarnsystem / Lavastrom |
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| Schlagwörter: | |
| Formangabe: |
Aufsatzsammlung |
| Systematik: |
|
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| Anmerkung: |
Description based upon print version of record |
|---|---|
| Umfang: |
Online-Ressource (XV, 379 p. 143 illus., 114 illus. in color, online resource) |
| Weitere Ausgabe: |
Erscheint auch als Druck-Ausgabe: Early warning for geological disasters - Berlin : Springer, 2014 |
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| Reihe: |
Advanced Technologies in Earth Sciences SpringerLink ; Bücher |
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| Links: | |
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| ISBN: |
978-3-642-12233-0 |
| DOI / URN: |
10.1007/978-3-642-12233-0 |
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| Katalog-ID: |
1652993118 |
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| 100 | 1 | |a Wenzel, Friedemann |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Early Warning for Geological Disasters |b Scientific Methods and Current Practice |c edited by Friedemann Wenzel, Jochen Zschau |
| 264 | 1 | |a Berlin, Heidelberg |a s.l. |b Springer Berlin Heidelberg |c 2014 | |
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| 505 | 8 | 0 | |a Preface; Acknowledgments; Contents; 1 Earthquake Early Warning and Tsunami Warning of the Japan Meteorological Agency, and Their Performance in the 2011 off the Pacific Coast of Tohoku Earthquake (Mw 9.0); 1.1 Introduction; 1.2 Earthquake Early Warning of JMA; 1.2.1 Observation of JMA Seismic Intensity; 1.2.2 Operation of JMA's EEW System; 1.2.3 JMA EEW During the Mw 9.0 Tohoku Earthquake; 1.2.4 Observed Waveforms and Seismic Intensity; 1.2.5 Under-Prediction of Intensity in Kanto; 1.2.6 Performance for Many Aftershocks; 1.2.7 Improvement for Extent of Rupture and Simultaneous Events |
| 505 | 8 | 0 | |a 1.3 Tsunami Warning/Advisories of JMA1.3.1 JMA's Tsunami Warning Systems; 1.3.2 Performance of JMA Tsunami Warning During Mw 9.0 Tohoku Earthquake; 1.3.3 Observed Tsunami; 1.3.4 Lessons Learned from the Mw 9.0 Tohoku Earthquake Tsunami and Future Plans; 1.4 Summary and Remarks; References; 2 Estimation of Fault Rupture Extent Using Near-Source Records for Earthquake Early Warning; 2.1 Introduction; 2.2 Data; 2.2.1 Data Processing; 2.2.2 Data Distribution; 2.2.3 Soil Amplification Factors; 2.3 Method; 2.3.1 Near-Source and Far-Source Discriminant Function |
| 505 | 8 | 0 | |a 2.3.2 Estimating 2D Fault Rupture Dimension2.4 Results; 2.4.1 Classification Function with All Datasets; 2.4.2 Effect of Dip Angle of the Fault; 2.4.3 Effect of Soil Amplification; 2.4.4 Estimated Rupture Dimension; 2.5 Conclusion; References; 3 CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California; 3.1 Introduction; 3.2 Early Warning Algorithms; 3.2.1 τc-Pd Onsite Algorithm; 3.2.2 Virtual Seismologist Algorithm; 3.2.3 ElarmS Algorithm; 3.3 Decision Module; 3.4 User Display; 3.5 Performance of CISN ShakeAlert; 3.6 Outreach; 3.7 Research on Finite Fault Ruptures |
| 505 | 8 | 0 | |a 3.8 Conclusions and OutlookReferences; 4 The Mexican Seismic Alert System (SASMEX): Its Alert Signals, Broadcast Results and Performance During the M 7.4 Punta Maldonado Earthquake of March 20th, 2012; 4.1 Introduction; 4.2 SASMEX Achievements; 4.3 SASMEX Warning Broadcast; 4.4 The Punta Maldonado Earthquake; 4.4.1 Human Response After Activation of the Seismic Alert in Mexico City; 4.5 Discussion; References; 5 Development of Earthquake Early Warning Systems in the European Union; 5.1 Introduction; 5.2 EEW in Europe at the Dawn of XXI Century; 5.3 The SAFER Project; 5.4 The REAKT Project |
| 505 | 8 | 0 | |a References6 EDIM: Earthquake Disaster Information System for the Marmara Region, Turkey; 6.1 Introduction; 6.2 Enhancement of the Current Early Warning System (KIT); 6.3 The Self-Organizing Seismic Early Warning Information System (GFZ Potsdam); 6.4 Infrastructure of Self-Organizing Sensor Systems (HU, Computer Science Department); 6.5 Development of a Dynamic Geoinformation-Infrastructure (DELPHI IMM GmbH, Potsdam); 6.6 Conclusions; References; 7 An Integrated Regional and On-Site Earthquake Early Warning System for Southern Italy: Concepts, Methodologies and Performances; 7.1 Introduction |
| 505 | 8 | 0 | |a 7.2 The PRESTo Software Platform |
| 520 | |a 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 | ||
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| 650 | 0 | |a Earth Sciences | |
| 650 | 0 | |a Geography | |
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Preface; Acknowledgments; Contents; 1 Earthquake Early Warning and Tsunami Warning of the Japan Meteorological Agency, and Their Performance in the 2011 off the Pacific Coast of Tohoku Earthquake (Mw 9.0); 1.1 Introduction; 1.2 Earthquake Early Warning of JMA; 1.2.1 Observation of JMA Seismic Intensity; 1.2.2 Operation of JMA's EEW System; 1.2.3 JMA EEW During the Mw 9.0 Tohoku Earthquake; 1.2.4 Observed Waveforms and Seismic Intensity; 1.2.5 Under-Prediction of Intensity in Kanto; 1.2.6 Performance for Many Aftershocks; 1.2.7 Improvement for Extent of Rupture and Simultaneous Events 1.3 Tsunami Warning/Advisories of JMA1.3.1 JMA's Tsunami Warning Systems; 1.3.2 Performance of JMA Tsunami Warning During Mw 9.0 Tohoku Earthquake; 1.3.3 Observed Tsunami; 1.3.4 Lessons Learned from the Mw 9.0 Tohoku Earthquake Tsunami and Future Plans; 1.4 Summary and Remarks; References; 2 Estimation of Fault Rupture Extent Using Near-Source Records for Earthquake Early Warning; 2.1 Introduction; 2.2 Data; 2.2.1 Data Processing; 2.2.2 Data Distribution; 2.2.3 Soil Amplification Factors; 2.3 Method; 2.3.1 Near-Source and Far-Source Discriminant Function 2.3.2 Estimating 2D Fault Rupture Dimension2.4 Results; 2.4.1 Classification Function with All Datasets; 2.4.2 Effect of Dip Angle of the Fault; 2.4.3 Effect of Soil Amplification; 2.4.4 Estimated Rupture Dimension; 2.5 Conclusion; References; 3 CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California; 3.1 Introduction; 3.2 Early Warning Algorithms; 3.2.1 τc-Pd Onsite Algorithm; 3.2.2 Virtual Seismologist Algorithm; 3.2.3 ElarmS Algorithm; 3.3 Decision Module; 3.4 User Display; 3.5 Performance of CISN ShakeAlert; 3.6 Outreach; 3.7 Research on Finite Fault Ruptures 3.8 Conclusions and OutlookReferences; 4 The Mexican Seismic Alert System (SASMEX): Its Alert Signals, Broadcast Results and Performance During the M 7.4 Punta Maldonado Earthquake of March 20th, 2012; 4.1 Introduction; 4.2 SASMEX Achievements; 4.3 SASMEX Warning Broadcast; 4.4 The Punta Maldonado Earthquake; 4.4.1 Human Response After Activation of the Seismic Alert in Mexico City; 4.5 Discussion; References; 5 Development of Earthquake Early Warning Systems in the European Union; 5.1 Introduction; 5.2 EEW in Europe at the Dawn of XXI Century; 5.3 The SAFER Project; 5.4 The REAKT Project References6 EDIM: Earthquake Disaster Information System for the Marmara Region, Turkey; 6.1 Introduction; 6.2 Enhancement of the Current Early Warning System (KIT); 6.3 The Self-Organizing Seismic Early Warning Information System (GFZ Potsdam); 6.4 Infrastructure of Self-Organizing Sensor Systems (HU, Computer Science Department); 6.5 Development of a Dynamic Geoinformation-Infrastructure (DELPHI IMM GmbH, Potsdam); 6.6 Conclusions; References; 7 An Integrated Regional and On-Site Earthquake Early Warning System for Southern Italy: Concepts, Methodologies and Performances; 7.1 Introduction 7.2 The PRESTo Software Platform |
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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 Description based upon print version of record |
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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 Description based upon print version of record |
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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 Description based upon print version of record |
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9783642122330 978-3-642-12233-0 10.1007/978-3-642-12233-0 doi (DE-627)1652993118 (DE-576)39337937X (DE-599)BSZ39337937X (OCoLC)874383289 (DE-He213)978-3-642-12233-0 DE-627 ger DE-627 rakwb eng XA-DE QC801-809 PHVG bicssc SCI032000 bisacsh 13 ssgn AR 14120 SEPA rvk (DE-625)rvk/8324: 38.03 bkl 43.48 bkl Wenzel, Friedemann verfasserin aut Early Warning for Geological Disasters Scientific Methods and Current Practice edited by Friedemann Wenzel, Jochen Zschau Berlin, Heidelberg s.l. Springer Berlin Heidelberg 2014 Online-Ressource (XV, 379 p. 143 illus., 114 illus. in color, online resource) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advanced Technologies in Earth Sciences SpringerLink Bücher Description based upon print version of record Preface; Acknowledgments; Contents; 1 Earthquake Early Warning and Tsunami Warning of the Japan Meteorological Agency, and Their Performance in the 2011 off the Pacific Coast of Tohoku Earthquake (Mw 9.0); 1.1 Introduction; 1.2 Earthquake Early Warning of JMA; 1.2.1 Observation of JMA Seismic Intensity; 1.2.2 Operation of JMA's EEW System; 1.2.3 JMA EEW During the Mw 9.0 Tohoku Earthquake; 1.2.4 Observed Waveforms and Seismic Intensity; 1.2.5 Under-Prediction of Intensity in Kanto; 1.2.6 Performance for Many Aftershocks; 1.2.7 Improvement for Extent of Rupture and Simultaneous Events 1.3 Tsunami Warning/Advisories of JMA1.3.1 JMA's Tsunami Warning Systems; 1.3.2 Performance of JMA Tsunami Warning During Mw 9.0 Tohoku Earthquake; 1.3.3 Observed Tsunami; 1.3.4 Lessons Learned from the Mw 9.0 Tohoku Earthquake Tsunami and Future Plans; 1.4 Summary and Remarks; References; 2 Estimation of Fault Rupture Extent Using Near-Source Records for Earthquake Early Warning; 2.1 Introduction; 2.2 Data; 2.2.1 Data Processing; 2.2.2 Data Distribution; 2.2.3 Soil Amplification Factors; 2.3 Method; 2.3.1 Near-Source and Far-Source Discriminant Function 2.3.2 Estimating 2D Fault Rupture Dimension2.4 Results; 2.4.1 Classification Function with All Datasets; 2.4.2 Effect of Dip Angle of the Fault; 2.4.3 Effect of Soil Amplification; 2.4.4 Estimated Rupture Dimension; 2.5 Conclusion; References; 3 CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California; 3.1 Introduction; 3.2 Early Warning Algorithms; 3.2.1 τc-Pd Onsite Algorithm; 3.2.2 Virtual Seismologist Algorithm; 3.2.3 ElarmS Algorithm; 3.3 Decision Module; 3.4 User Display; 3.5 Performance of CISN ShakeAlert; 3.6 Outreach; 3.7 Research on Finite Fault Ruptures 3.8 Conclusions and OutlookReferences; 4 The Mexican Seismic Alert System (SASMEX): Its Alert Signals, Broadcast Results and Performance During the M 7.4 Punta Maldonado Earthquake of March 20th, 2012; 4.1 Introduction; 4.2 SASMEX Achievements; 4.3 SASMEX Warning Broadcast; 4.4 The Punta Maldonado Earthquake; 4.4.1 Human Response After Activation of the Seismic Alert in Mexico City; 4.5 Discussion; References; 5 Development of Earthquake Early Warning Systems in the European Union; 5.1 Introduction; 5.2 EEW in Europe at the Dawn of XXI Century; 5.3 The SAFER Project; 5.4 The REAKT Project References6 EDIM: Earthquake Disaster Information System for the Marmara Region, Turkey; 6.1 Introduction; 6.2 Enhancement of the Current Early Warning System (KIT); 6.3 The Self-Organizing Seismic Early Warning Information System (GFZ Potsdam); 6.4 Infrastructure of Self-Organizing Sensor Systems (HU, Computer Science Department); 6.5 Development of a Dynamic Geoinformation-Infrastructure (DELPHI IMM GmbH, Potsdam); 6.6 Conclusions; References; 7 An Integrated Regional and On-Site Earthquake Early Warning System for Southern Italy: Concepts, Methodologies and Performances; 7.1 Introduction 7.2 The PRESTo Software Platform 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 Geography Physical geography Geology Ecology Earth Sciences Geography Physical geography Geology Ecology Geophysical prediction Natural disaster warning systems Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content s (DE-588)4124846-6 (DE-627)105744522 (DE-576)209571578 Erdbebenvorhersage gnd s (DE-588)4261303-6 (DE-627)104527757 (DE-576)210596740 Tsunami gnd s (DE-588)4178780-8 (DE-627)104608749 (DE-576)209986735 Rutschung gnd s (DE-588)4123236-7 (DE-627)105756652 (DE-576)209557990 Frühwarnsystem gnd s (DE-588)4227077-7 (DE-627)104966661 (DE-576)210319461 Lavastrom gnd DE-101 s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4226136-3 (DE-627)104973846 (DE-576)210311681 Warnung gnd s (DE-588)4038971-6 (DE-627)106230158 (DE-576)209032642 Methode gnd DE-101 s (DE-588)4124846-6 (DE-627)105744522 (DE-576)209571578 Erdbebenvorhersage gnd s (DE-588)4261303-6 (DE-627)104527757 (DE-576)210596740 Tsunami gnd s (DE-588)4178780-8 (DE-627)104608749 (DE-576)209986735 Rutschung gnd s (DE-588)4123236-7 (DE-627)105756652 (DE-576)209557990 Frühwarnsystem gnd s (DE-588)4227077-7 (DE-627)104966661 (DE-576)210319461 Lavastrom gnd (DE-627) s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4226136-3 (DE-627)104973846 (DE-576)210311681 Warnung gnd s (DE-588)4038971-6 (DE-627)106230158 (DE-576)209032642 Methode gnd (DE-627) Zschau, Jochen 1944- hrsg (DE-588)114577122X (DE-627)1006909206 (DE-576)170107884 edt 9783642122323 Erscheint auch als Druck-Ausgabe Early warning for geological disasters Berlin : Springer, 2014 XV, 379 S. 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Zugriff von außerhalb nur für HCU-Angehörige möglich https://doi.org/10.1007/978-3-642-12233-0 2014 01 DE-90 Zugang im Netz des KIT http://dx.doi.org/10.1007/978-3-642-12233-0 2014 02 DE-90 Zugang im Netz der HKA http://dx.doi.org/10.1007/978-3-642-12233-0 2050 01 DE-Zi4 http://dx.doi.org/10.1007/978-3-642-12233-0 2061 01 DE-520 http://dx.doi.org/10.1007/978-3-642-12233-0 2148 01 DE-950 http://dx.doi.org/10.1007/978-3-642-12233-0 2027 01 DE-105 00 s ebook 120 00 DE-715 99 ww 285 00 DE-517 00 AR 14120 2027 01 DE-105 00 (DE-627)1293673978 DK 550.344.4 2027 01 DE-105 01 (DE-627)1294175548 DK 502.58 2027 01 DE-105 02 (DE-627)1292258756 DK 614.8 2027 01 DE-105 03 (DE-627)1298242568 DK 551.435.62 2027 01 DE-105 04 (DE-627)1293123641 DK 551.217 2027 01 DE-105 05 (DE-627)1293856827 DK 550.343 2027 01 DE-105 06 (DE-627)1296562506 Geo 120 01 0715 24898999 23 01 0830 2013-04328, 2013-04329, 2013-04330, 2013-04331, 2013-04332, 2013-04333, 2013-04334, 2013-04335, 2013-04336 120 01 0715 YH 2020 23 01 0830 olr-springer 60 01 0705 SpringerLink 62 01 0028 OLR-EES 65 01 0003 OLR-SEB-ZDB-2-EES 110 01 3110 OLR-SEB 120 01 0715 OLR-ESP 120 02 0715 alma 120 03 0715 alma 285 01 0517 OLR-ESP-EES 370 01 4370 olr-springer 23 01 0830 2013.12.20 |
| spelling |
9783642122330 978-3-642-12233-0 10.1007/978-3-642-12233-0 doi (DE-627)1652993118 (DE-576)39337937X (DE-599)BSZ39337937X (OCoLC)874383289 (DE-He213)978-3-642-12233-0 DE-627 ger DE-627 rakwb eng XA-DE QC801-809 PHVG bicssc SCI032000 bisacsh 13 ssgn AR 14120 SEPA rvk (DE-625)rvk/8324: 38.03 bkl 43.48 bkl Wenzel, Friedemann verfasserin aut Early Warning for Geological Disasters Scientific Methods and Current Practice edited by Friedemann Wenzel, Jochen Zschau Berlin, Heidelberg s.l. Springer Berlin Heidelberg 2014 Online-Ressource (XV, 379 p. 143 illus., 114 illus. in color, online resource) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advanced Technologies in Earth Sciences SpringerLink Bücher Description based upon print version of record Preface; Acknowledgments; Contents; 1 Earthquake Early Warning and Tsunami Warning of the Japan Meteorological Agency, and Their Performance in the 2011 off the Pacific Coast of Tohoku Earthquake (Mw 9.0); 1.1 Introduction; 1.2 Earthquake Early Warning of JMA; 1.2.1 Observation of JMA Seismic Intensity; 1.2.2 Operation of JMA's EEW System; 1.2.3 JMA EEW During the Mw 9.0 Tohoku Earthquake; 1.2.4 Observed Waveforms and Seismic Intensity; 1.2.5 Under-Prediction of Intensity in Kanto; 1.2.6 Performance for Many Aftershocks; 1.2.7 Improvement for Extent of Rupture and Simultaneous Events 1.3 Tsunami Warning/Advisories of JMA1.3.1 JMA's Tsunami Warning Systems; 1.3.2 Performance of JMA Tsunami Warning During Mw 9.0 Tohoku Earthquake; 1.3.3 Observed Tsunami; 1.3.4 Lessons Learned from the Mw 9.0 Tohoku Earthquake Tsunami and Future Plans; 1.4 Summary and Remarks; References; 2 Estimation of Fault Rupture Extent Using Near-Source Records for Earthquake Early Warning; 2.1 Introduction; 2.2 Data; 2.2.1 Data Processing; 2.2.2 Data Distribution; 2.2.3 Soil Amplification Factors; 2.3 Method; 2.3.1 Near-Source and Far-Source Discriminant Function 2.3.2 Estimating 2D Fault Rupture Dimension2.4 Results; 2.4.1 Classification Function with All Datasets; 2.4.2 Effect of Dip Angle of the Fault; 2.4.3 Effect of Soil Amplification; 2.4.4 Estimated Rupture Dimension; 2.5 Conclusion; References; 3 CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California; 3.1 Introduction; 3.2 Early Warning Algorithms; 3.2.1 τc-Pd Onsite Algorithm; 3.2.2 Virtual Seismologist Algorithm; 3.2.3 ElarmS Algorithm; 3.3 Decision Module; 3.4 User Display; 3.5 Performance of CISN ShakeAlert; 3.6 Outreach; 3.7 Research on Finite Fault Ruptures 3.8 Conclusions and OutlookReferences; 4 The Mexican Seismic Alert System (SASMEX): Its Alert Signals, Broadcast Results and Performance During the M 7.4 Punta Maldonado Earthquake of March 20th, 2012; 4.1 Introduction; 4.2 SASMEX Achievements; 4.3 SASMEX Warning Broadcast; 4.4 The Punta Maldonado Earthquake; 4.4.1 Human Response After Activation of the Seismic Alert in Mexico City; 4.5 Discussion; References; 5 Development of Earthquake Early Warning Systems in the European Union; 5.1 Introduction; 5.2 EEW in Europe at the Dawn of XXI Century; 5.3 The SAFER Project; 5.4 The REAKT Project References6 EDIM: Earthquake Disaster Information System for the Marmara Region, Turkey; 6.1 Introduction; 6.2 Enhancement of the Current Early Warning System (KIT); 6.3 The Self-Organizing Seismic Early Warning Information System (GFZ Potsdam); 6.4 Infrastructure of Self-Organizing Sensor Systems (HU, Computer Science Department); 6.5 Development of a Dynamic Geoinformation-Infrastructure (DELPHI IMM GmbH, Potsdam); 6.6 Conclusions; References; 7 An Integrated Regional and On-Site Earthquake Early Warning System for Southern Italy: Concepts, Methodologies and Performances; 7.1 Introduction 7.2 The PRESTo Software Platform 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 Geography Physical geography Geology Ecology Earth Sciences Geography Physical geography Geology Ecology Geophysical prediction Natural disaster warning systems Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content s (DE-588)4124846-6 (DE-627)105744522 (DE-576)209571578 Erdbebenvorhersage gnd s (DE-588)4261303-6 (DE-627)104527757 (DE-576)210596740 Tsunami gnd s (DE-588)4178780-8 (DE-627)104608749 (DE-576)209986735 Rutschung gnd s (DE-588)4123236-7 (DE-627)105756652 (DE-576)209557990 Frühwarnsystem gnd s (DE-588)4227077-7 (DE-627)104966661 (DE-576)210319461 Lavastrom gnd DE-101 s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4226136-3 (DE-627)104973846 (DE-576)210311681 Warnung gnd s (DE-588)4038971-6 (DE-627)106230158 (DE-576)209032642 Methode gnd DE-101 s (DE-588)4124846-6 (DE-627)105744522 (DE-576)209571578 Erdbebenvorhersage gnd s (DE-588)4261303-6 (DE-627)104527757 (DE-576)210596740 Tsunami gnd s (DE-588)4178780-8 (DE-627)104608749 (DE-576)209986735 Rutschung gnd s (DE-588)4123236-7 (DE-627)105756652 (DE-576)209557990 Frühwarnsystem gnd s (DE-588)4227077-7 (DE-627)104966661 (DE-576)210319461 Lavastrom gnd (DE-627) s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4226136-3 (DE-627)104973846 (DE-576)210311681 Warnung gnd s (DE-588)4038971-6 (DE-627)106230158 (DE-576)209032642 Methode gnd (DE-627) Zschau, Jochen 1944- hrsg (DE-588)114577122X (DE-627)1006909206 (DE-576)170107884 edt 9783642122323 Erscheint auch als Druck-Ausgabe Early warning for geological disasters Berlin : Springer, 2014 XV, 379 S. (DE-627)620355042 (DE-576)396033822 9783642122323 https://doi.org/10.1007/978-3-642-12233-0 Verlag Volltext http://dx.doi.org/10.1007/978-3-642-12233-0 Resolving-System lizenzpflichtig Volltext https://swbplus.bsz-bw.de/bsz39337937xcov.jpg V:DE-576 X:springer image/jpeg 20140212101935 Cover https://external.dandelon.com/download/attachments/dandelon/ids/DE00460E7357B4D406949C1257CD100350557.pdf V:DE-601 X:AGI pdf/application 2017-12-02 Verlag Inhaltsverzeichnis (DE-627)766666735 ZDB-2-EES 2014 GBV_ILN_23 ISIL_DE-830 SYSFLAG_1 GBV_KXP SSG-OPC-GGO GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_65 ISIL_DE-3 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2014 ISIL_DE-90 GBV_ILN_2017 ISIL_DE-576 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2061 ISIL_DE-520 GBV_ILN_2148 ISIL_DE-950 GBV ExPruef AR 14120 Natur- und Umweltkatastrophen, Allgemein Allgemeines Naturschutz und Umweltschutz Umweltschutz, Umweltprobleme Natur- und Umweltkatastrophen Natur- und Umweltkatastrophen, Allgemein (DE-627)1270695622 (DE-625)rvk/8324: (DE-576)200695622 38.03 Methoden und Techniken der Geowissenschaften SEPA (DE-627)106411284 43.48 Regionale Umweltprobleme SEPA (DE-627)181569981 BO 045F 550 045F 526.1 23 01 0830 1450797881 00 --%%-- --%%-- s --%%-- olr-springer i z 20-12-13 60 01 0705 1650307691 SpringerLink Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 09-12-16 62 01 0028 1462482929 OLR-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 09-03-14 65 01 0003 1655672215 03 --%%-- ebook --%%-- --%%-- OLR-SEB-ZDB-2-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. k3o 02-01-17 110 01 3110 4305028646 00 --%%-- --%%-- s --%%-- OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-04-23 120 01 0715 1447010515 OLR-ESP Campusweiter Zugriff (Universität Oldenburg). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden. z 26-11-13 120 02 0715 1754280773 00 --%%-- --%%-- g --%%-- alma ww z 22-02-18 120 03 0715 3580250841 00 --%%-- --%%-- g --%%-- alma ww z 23-01-20 285 01 0517 1447018109 00 --%%-- --%%-- s --%%-- OLR-ESP-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 26-11-13 370 01 4370 1450050204 olr-springer Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 13-12-13 2014 01 DE-90 3361940206 00 --%%-- --%%-- n --%%-- l01 11-09-13 2014 02 DE-90 3361940214 00 --%%-- --%%-- n --%%-- l02 11-09-13 2017 01 DE-576 3361940222 00 --%%-- --%%-- --%%-- n Besitznachweis BSZ nur für Dateneinspielung, keine echte Lizenz vorhanden l01 08-08-13 2027 01 DE-105 3361940230 00 --%%-- --%%-- n --%%-- Campuslizenz l01 11-09-13 2050 01 DE-Zi4 3361940249 00 --%%-- --%%-- n --%%-- Elektronischer Volltext - Campuslizenz l01 11-09-13 2061 01 DE-520 3361940257 00 --%%-- eBook Springer n --%%-- eBook, Volltext nur im Campusnetz l01 11-09-13 2148 01 DE-950 3361940265 00 --%%-- eBook Springer --%%-- n Elektronischer Volltext - Campuslizenz l01 11-09-13 23 01 0830 Springer EBook https://doi.org/10.1007/978-3-642-12233-0 60 01 0705 Volltextzugang Campus https://doi.org/10.1007/978-3-642-12233-0 62 01 0028 https://doi.org/10.1007/978-3-642-12233-0 65 01 0003 Volltextzugang Campus https://doi.org/10.1007/978-3-642-12233-0 110 01 3110 https://doi.org/10.1007/978-3-642-12233-0 120 01 0715 http://dx.doi.org/10.1007/978-3-642-12233-0 120 02 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133998403501 120 03 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133998403501 285 01 0517 E-books (Springer) https://doi.org/10.1007/978-3-642-12233-0 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://doi.org/10.1007/978-3-642-12233-0 2014 01 DE-90 Zugang im Netz des KIT http://dx.doi.org/10.1007/978-3-642-12233-0 2014 02 DE-90 Zugang im Netz der HKA http://dx.doi.org/10.1007/978-3-642-12233-0 2050 01 DE-Zi4 http://dx.doi.org/10.1007/978-3-642-12233-0 2061 01 DE-520 http://dx.doi.org/10.1007/978-3-642-12233-0 2148 01 DE-950 http://dx.doi.org/10.1007/978-3-642-12233-0 2027 01 DE-105 00 s ebook 120 00 DE-715 99 ww 285 00 DE-517 00 AR 14120 2027 01 DE-105 00 (DE-627)1293673978 DK 550.344.4 2027 01 DE-105 01 (DE-627)1294175548 DK 502.58 2027 01 DE-105 02 (DE-627)1292258756 DK 614.8 2027 01 DE-105 03 (DE-627)1298242568 DK 551.435.62 2027 01 DE-105 04 (DE-627)1293123641 DK 551.217 2027 01 DE-105 05 (DE-627)1293856827 DK 550.343 2027 01 DE-105 06 (DE-627)1296562506 Geo 120 01 0715 24898999 23 01 0830 2013-04328, 2013-04329, 2013-04330, 2013-04331, 2013-04332, 2013-04333, 2013-04334, 2013-04335, 2013-04336 120 01 0715 YH 2020 23 01 0830 olr-springer 60 01 0705 SpringerLink 62 01 0028 OLR-EES 65 01 0003 OLR-SEB-ZDB-2-EES 110 01 3110 OLR-SEB 120 01 0715 OLR-ESP 120 02 0715 alma 120 03 0715 alma 285 01 0517 OLR-ESP-EES 370 01 4370 olr-springer 23 01 0830 2013.12.20 |
| allfields_unstemmed |
9783642122330 978-3-642-12233-0 10.1007/978-3-642-12233-0 doi (DE-627)1652993118 (DE-576)39337937X (DE-599)BSZ39337937X (OCoLC)874383289 (DE-He213)978-3-642-12233-0 DE-627 ger DE-627 rakwb eng XA-DE QC801-809 PHVG bicssc SCI032000 bisacsh 13 ssgn AR 14120 SEPA rvk (DE-625)rvk/8324: 38.03 bkl 43.48 bkl Wenzel, Friedemann verfasserin aut Early Warning for Geological Disasters Scientific Methods and Current Practice edited by Friedemann Wenzel, Jochen Zschau Berlin, Heidelberg s.l. Springer Berlin Heidelberg 2014 Online-Ressource (XV, 379 p. 143 illus., 114 illus. in color, online resource) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advanced Technologies in Earth Sciences SpringerLink Bücher Description based upon print version of record Preface; Acknowledgments; Contents; 1 Earthquake Early Warning and Tsunami Warning of the Japan Meteorological Agency, and Their Performance in the 2011 off the Pacific Coast of Tohoku Earthquake (Mw 9.0); 1.1 Introduction; 1.2 Earthquake Early Warning of JMA; 1.2.1 Observation of JMA Seismic Intensity; 1.2.2 Operation of JMA's EEW System; 1.2.3 JMA EEW During the Mw 9.0 Tohoku Earthquake; 1.2.4 Observed Waveforms and Seismic Intensity; 1.2.5 Under-Prediction of Intensity in Kanto; 1.2.6 Performance for Many Aftershocks; 1.2.7 Improvement for Extent of Rupture and Simultaneous Events 1.3 Tsunami Warning/Advisories of JMA1.3.1 JMA's Tsunami Warning Systems; 1.3.2 Performance of JMA Tsunami Warning During Mw 9.0 Tohoku Earthquake; 1.3.3 Observed Tsunami; 1.3.4 Lessons Learned from the Mw 9.0 Tohoku Earthquake Tsunami and Future Plans; 1.4 Summary and Remarks; References; 2 Estimation of Fault Rupture Extent Using Near-Source Records for Earthquake Early Warning; 2.1 Introduction; 2.2 Data; 2.2.1 Data Processing; 2.2.2 Data Distribution; 2.2.3 Soil Amplification Factors; 2.3 Method; 2.3.1 Near-Source and Far-Source Discriminant Function 2.3.2 Estimating 2D Fault Rupture Dimension2.4 Results; 2.4.1 Classification Function with All Datasets; 2.4.2 Effect of Dip Angle of the Fault; 2.4.3 Effect of Soil Amplification; 2.4.4 Estimated Rupture Dimension; 2.5 Conclusion; References; 3 CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California; 3.1 Introduction; 3.2 Early Warning Algorithms; 3.2.1 τc-Pd Onsite Algorithm; 3.2.2 Virtual Seismologist Algorithm; 3.2.3 ElarmS Algorithm; 3.3 Decision Module; 3.4 User Display; 3.5 Performance of CISN ShakeAlert; 3.6 Outreach; 3.7 Research on Finite Fault Ruptures 3.8 Conclusions and OutlookReferences; 4 The Mexican Seismic Alert System (SASMEX): Its Alert Signals, Broadcast Results and Performance During the M 7.4 Punta Maldonado Earthquake of March 20th, 2012; 4.1 Introduction; 4.2 SASMEX Achievements; 4.3 SASMEX Warning Broadcast; 4.4 The Punta Maldonado Earthquake; 4.4.1 Human Response After Activation of the Seismic Alert in Mexico City; 4.5 Discussion; References; 5 Development of Earthquake Early Warning Systems in the European Union; 5.1 Introduction; 5.2 EEW in Europe at the Dawn of XXI Century; 5.3 The SAFER Project; 5.4 The REAKT Project References6 EDIM: Earthquake Disaster Information System for the Marmara Region, Turkey; 6.1 Introduction; 6.2 Enhancement of the Current Early Warning System (KIT); 6.3 The Self-Organizing Seismic Early Warning Information System (GFZ Potsdam); 6.4 Infrastructure of Self-Organizing Sensor Systems (HU, Computer Science Department); 6.5 Development of a Dynamic Geoinformation-Infrastructure (DELPHI IMM GmbH, Potsdam); 6.6 Conclusions; References; 7 An Integrated Regional and On-Site Earthquake Early Warning System for Southern Italy: Concepts, Methodologies and Performances; 7.1 Introduction 7.2 The PRESTo Software Platform 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 Geography Physical geography Geology Ecology Earth Sciences Geography Physical geography Geology Ecology Geophysical prediction Natural disaster warning systems Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content s (DE-588)4124846-6 (DE-627)105744522 (DE-576)209571578 Erdbebenvorhersage gnd s (DE-588)4261303-6 (DE-627)104527757 (DE-576)210596740 Tsunami gnd s (DE-588)4178780-8 (DE-627)104608749 (DE-576)209986735 Rutschung gnd s (DE-588)4123236-7 (DE-627)105756652 (DE-576)209557990 Frühwarnsystem gnd s (DE-588)4227077-7 (DE-627)104966661 (DE-576)210319461 Lavastrom gnd DE-101 s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4226136-3 (DE-627)104973846 (DE-576)210311681 Warnung gnd s (DE-588)4038971-6 (DE-627)106230158 (DE-576)209032642 Methode gnd DE-101 s (DE-588)4124846-6 (DE-627)105744522 (DE-576)209571578 Erdbebenvorhersage gnd s (DE-588)4261303-6 (DE-627)104527757 (DE-576)210596740 Tsunami gnd s (DE-588)4178780-8 (DE-627)104608749 (DE-576)209986735 Rutschung gnd s (DE-588)4123236-7 (DE-627)105756652 (DE-576)209557990 Frühwarnsystem gnd s (DE-588)4227077-7 (DE-627)104966661 (DE-576)210319461 Lavastrom gnd (DE-627) s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4226136-3 (DE-627)104973846 (DE-576)210311681 Warnung gnd s (DE-588)4038971-6 (DE-627)106230158 (DE-576)209032642 Methode gnd (DE-627) Zschau, Jochen 1944- hrsg (DE-588)114577122X (DE-627)1006909206 (DE-576)170107884 edt 9783642122323 Erscheint auch als Druck-Ausgabe Early warning for geological disasters Berlin : Springer, 2014 XV, 379 S. (DE-627)620355042 (DE-576)396033822 9783642122323 https://doi.org/10.1007/978-3-642-12233-0 Verlag Volltext http://dx.doi.org/10.1007/978-3-642-12233-0 Resolving-System lizenzpflichtig Volltext https://swbplus.bsz-bw.de/bsz39337937xcov.jpg V:DE-576 X:springer image/jpeg 20140212101935 Cover https://external.dandelon.com/download/attachments/dandelon/ids/DE00460E7357B4D406949C1257CD100350557.pdf V:DE-601 X:AGI pdf/application 2017-12-02 Verlag Inhaltsverzeichnis (DE-627)766666735 ZDB-2-EES 2014 GBV_ILN_23 ISIL_DE-830 SYSFLAG_1 GBV_KXP SSG-OPC-GGO GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_65 ISIL_DE-3 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2014 ISIL_DE-90 GBV_ILN_2017 ISIL_DE-576 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2061 ISIL_DE-520 GBV_ILN_2148 ISIL_DE-950 GBV ExPruef AR 14120 Natur- und Umweltkatastrophen, Allgemein Allgemeines Naturschutz und Umweltschutz Umweltschutz, Umweltprobleme Natur- und Umweltkatastrophen Natur- und Umweltkatastrophen, Allgemein (DE-627)1270695622 (DE-625)rvk/8324: (DE-576)200695622 38.03 Methoden und Techniken der Geowissenschaften SEPA (DE-627)106411284 43.48 Regionale Umweltprobleme SEPA (DE-627)181569981 BO 045F 550 045F 526.1 23 01 0830 1450797881 00 --%%-- --%%-- s --%%-- olr-springer i z 20-12-13 60 01 0705 1650307691 SpringerLink Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 09-12-16 62 01 0028 1462482929 OLR-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 09-03-14 65 01 0003 1655672215 03 --%%-- ebook --%%-- --%%-- OLR-SEB-ZDB-2-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. k3o 02-01-17 110 01 3110 4305028646 00 --%%-- --%%-- s --%%-- OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-04-23 120 01 0715 1447010515 OLR-ESP Campusweiter Zugriff (Universität Oldenburg). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden. z 26-11-13 120 02 0715 1754280773 00 --%%-- --%%-- g --%%-- alma ww z 22-02-18 120 03 0715 3580250841 00 --%%-- --%%-- g --%%-- alma ww z 23-01-20 285 01 0517 1447018109 00 --%%-- --%%-- s --%%-- OLR-ESP-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 26-11-13 370 01 4370 1450050204 olr-springer Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 13-12-13 2014 01 DE-90 3361940206 00 --%%-- --%%-- n --%%-- l01 11-09-13 2014 02 DE-90 3361940214 00 --%%-- --%%-- n --%%-- l02 11-09-13 2017 01 DE-576 3361940222 00 --%%-- --%%-- --%%-- n Besitznachweis BSZ nur für Dateneinspielung, keine echte Lizenz vorhanden l01 08-08-13 2027 01 DE-105 3361940230 00 --%%-- --%%-- n --%%-- Campuslizenz l01 11-09-13 2050 01 DE-Zi4 3361940249 00 --%%-- --%%-- n --%%-- Elektronischer Volltext - Campuslizenz l01 11-09-13 2061 01 DE-520 3361940257 00 --%%-- eBook Springer n --%%-- eBook, Volltext nur im Campusnetz l01 11-09-13 2148 01 DE-950 3361940265 00 --%%-- eBook Springer --%%-- n Elektronischer Volltext - Campuslizenz l01 11-09-13 23 01 0830 Springer EBook https://doi.org/10.1007/978-3-642-12233-0 60 01 0705 Volltextzugang Campus https://doi.org/10.1007/978-3-642-12233-0 62 01 0028 https://doi.org/10.1007/978-3-642-12233-0 65 01 0003 Volltextzugang Campus https://doi.org/10.1007/978-3-642-12233-0 110 01 3110 https://doi.org/10.1007/978-3-642-12233-0 120 01 0715 http://dx.doi.org/10.1007/978-3-642-12233-0 120 02 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133998403501 120 03 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133998403501 285 01 0517 E-books (Springer) https://doi.org/10.1007/978-3-642-12233-0 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://doi.org/10.1007/978-3-642-12233-0 2014 01 DE-90 Zugang im Netz des KIT http://dx.doi.org/10.1007/978-3-642-12233-0 2014 02 DE-90 Zugang im Netz der HKA http://dx.doi.org/10.1007/978-3-642-12233-0 2050 01 DE-Zi4 http://dx.doi.org/10.1007/978-3-642-12233-0 2061 01 DE-520 http://dx.doi.org/10.1007/978-3-642-12233-0 2148 01 DE-950 http://dx.doi.org/10.1007/978-3-642-12233-0 2027 01 DE-105 00 s ebook 120 00 DE-715 99 ww 285 00 DE-517 00 AR 14120 2027 01 DE-105 00 (DE-627)1293673978 DK 550.344.4 2027 01 DE-105 01 (DE-627)1294175548 DK 502.58 2027 01 DE-105 02 (DE-627)1292258756 DK 614.8 2027 01 DE-105 03 (DE-627)1298242568 DK 551.435.62 2027 01 DE-105 04 (DE-627)1293123641 DK 551.217 2027 01 DE-105 05 (DE-627)1293856827 DK 550.343 2027 01 DE-105 06 (DE-627)1296562506 Geo 120 01 0715 24898999 23 01 0830 2013-04328, 2013-04329, 2013-04330, 2013-04331, 2013-04332, 2013-04333, 2013-04334, 2013-04335, 2013-04336 120 01 0715 YH 2020 23 01 0830 olr-springer 60 01 0705 SpringerLink 62 01 0028 OLR-EES 65 01 0003 OLR-SEB-ZDB-2-EES 110 01 3110 OLR-SEB 120 01 0715 OLR-ESP 120 02 0715 alma 120 03 0715 alma 285 01 0517 OLR-ESP-EES 370 01 4370 olr-springer 23 01 0830 2013.12.20 |
| allfieldsGer |
9783642122330 978-3-642-12233-0 10.1007/978-3-642-12233-0 doi (DE-627)1652993118 (DE-576)39337937X (DE-599)BSZ39337937X (OCoLC)874383289 (DE-He213)978-3-642-12233-0 DE-627 ger DE-627 rakwb eng XA-DE QC801-809 PHVG bicssc SCI032000 bisacsh 13 ssgn AR 14120 SEPA rvk (DE-625)rvk/8324: 38.03 bkl 43.48 bkl Wenzel, Friedemann verfasserin aut Early Warning for Geological Disasters Scientific Methods and Current Practice edited by Friedemann Wenzel, Jochen Zschau Berlin, Heidelberg s.l. Springer Berlin Heidelberg 2014 Online-Ressource (XV, 379 p. 143 illus., 114 illus. in color, online resource) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advanced Technologies in Earth Sciences SpringerLink Bücher Description based upon print version of record Preface; Acknowledgments; Contents; 1 Earthquake Early Warning and Tsunami Warning of the Japan Meteorological Agency, and Their Performance in the 2011 off the Pacific Coast of Tohoku Earthquake (Mw 9.0); 1.1 Introduction; 1.2 Earthquake Early Warning of JMA; 1.2.1 Observation of JMA Seismic Intensity; 1.2.2 Operation of JMA's EEW System; 1.2.3 JMA EEW During the Mw 9.0 Tohoku Earthquake; 1.2.4 Observed Waveforms and Seismic Intensity; 1.2.5 Under-Prediction of Intensity in Kanto; 1.2.6 Performance for Many Aftershocks; 1.2.7 Improvement for Extent of Rupture and Simultaneous Events 1.3 Tsunami Warning/Advisories of JMA1.3.1 JMA's Tsunami Warning Systems; 1.3.2 Performance of JMA Tsunami Warning During Mw 9.0 Tohoku Earthquake; 1.3.3 Observed Tsunami; 1.3.4 Lessons Learned from the Mw 9.0 Tohoku Earthquake Tsunami and Future Plans; 1.4 Summary and Remarks; References; 2 Estimation of Fault Rupture Extent Using Near-Source Records for Earthquake Early Warning; 2.1 Introduction; 2.2 Data; 2.2.1 Data Processing; 2.2.2 Data Distribution; 2.2.3 Soil Amplification Factors; 2.3 Method; 2.3.1 Near-Source and Far-Source Discriminant Function 2.3.2 Estimating 2D Fault Rupture Dimension2.4 Results; 2.4.1 Classification Function with All Datasets; 2.4.2 Effect of Dip Angle of the Fault; 2.4.3 Effect of Soil Amplification; 2.4.4 Estimated Rupture Dimension; 2.5 Conclusion; References; 3 CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California; 3.1 Introduction; 3.2 Early Warning Algorithms; 3.2.1 τc-Pd Onsite Algorithm; 3.2.2 Virtual Seismologist Algorithm; 3.2.3 ElarmS Algorithm; 3.3 Decision Module; 3.4 User Display; 3.5 Performance of CISN ShakeAlert; 3.6 Outreach; 3.7 Research on Finite Fault Ruptures 3.8 Conclusions and OutlookReferences; 4 The Mexican Seismic Alert System (SASMEX): Its Alert Signals, Broadcast Results and Performance During the M 7.4 Punta Maldonado Earthquake of March 20th, 2012; 4.1 Introduction; 4.2 SASMEX Achievements; 4.3 SASMEX Warning Broadcast; 4.4 The Punta Maldonado Earthquake; 4.4.1 Human Response After Activation of the Seismic Alert in Mexico City; 4.5 Discussion; References; 5 Development of Earthquake Early Warning Systems in the European Union; 5.1 Introduction; 5.2 EEW in Europe at the Dawn of XXI Century; 5.3 The SAFER Project; 5.4 The REAKT Project References6 EDIM: Earthquake Disaster Information System for the Marmara Region, Turkey; 6.1 Introduction; 6.2 Enhancement of the Current Early Warning System (KIT); 6.3 The Self-Organizing Seismic Early Warning Information System (GFZ Potsdam); 6.4 Infrastructure of Self-Organizing Sensor Systems (HU, Computer Science Department); 6.5 Development of a Dynamic Geoinformation-Infrastructure (DELPHI IMM GmbH, Potsdam); 6.6 Conclusions; References; 7 An Integrated Regional and On-Site Earthquake Early Warning System for Southern Italy: Concepts, Methodologies and Performances; 7.1 Introduction 7.2 The PRESTo Software Platform 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 Geography Physical geography Geology Ecology Earth Sciences Geography Physical geography Geology Ecology Geophysical prediction Natural disaster warning systems Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content s (DE-588)4124846-6 (DE-627)105744522 (DE-576)209571578 Erdbebenvorhersage gnd s (DE-588)4261303-6 (DE-627)104527757 (DE-576)210596740 Tsunami gnd s (DE-588)4178780-8 (DE-627)104608749 (DE-576)209986735 Rutschung gnd s (DE-588)4123236-7 (DE-627)105756652 (DE-576)209557990 Frühwarnsystem gnd s (DE-588)4227077-7 (DE-627)104966661 (DE-576)210319461 Lavastrom gnd DE-101 s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4226136-3 (DE-627)104973846 (DE-576)210311681 Warnung gnd s (DE-588)4038971-6 (DE-627)106230158 (DE-576)209032642 Methode gnd DE-101 s (DE-588)4124846-6 (DE-627)105744522 (DE-576)209571578 Erdbebenvorhersage gnd s (DE-588)4261303-6 (DE-627)104527757 (DE-576)210596740 Tsunami gnd s (DE-588)4178780-8 (DE-627)104608749 (DE-576)209986735 Rutschung gnd s (DE-588)4123236-7 (DE-627)105756652 (DE-576)209557990 Frühwarnsystem gnd s (DE-588)4227077-7 (DE-627)104966661 (DE-576)210319461 Lavastrom gnd (DE-627) s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4226136-3 (DE-627)104973846 (DE-576)210311681 Warnung gnd s (DE-588)4038971-6 (DE-627)106230158 (DE-576)209032642 Methode gnd (DE-627) Zschau, Jochen 1944- hrsg (DE-588)114577122X (DE-627)1006909206 (DE-576)170107884 edt 9783642122323 Erscheint auch als Druck-Ausgabe Early warning for geological disasters Berlin : Springer, 2014 XV, 379 S. (DE-627)620355042 (DE-576)396033822 9783642122323 https://doi.org/10.1007/978-3-642-12233-0 Verlag Volltext http://dx.doi.org/10.1007/978-3-642-12233-0 Resolving-System lizenzpflichtig Volltext https://swbplus.bsz-bw.de/bsz39337937xcov.jpg V:DE-576 X:springer image/jpeg 20140212101935 Cover https://external.dandelon.com/download/attachments/dandelon/ids/DE00460E7357B4D406949C1257CD100350557.pdf V:DE-601 X:AGI pdf/application 2017-12-02 Verlag Inhaltsverzeichnis (DE-627)766666735 ZDB-2-EES 2014 GBV_ILN_23 ISIL_DE-830 SYSFLAG_1 GBV_KXP SSG-OPC-GGO GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_65 ISIL_DE-3 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2014 ISIL_DE-90 GBV_ILN_2017 ISIL_DE-576 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2061 ISIL_DE-520 GBV_ILN_2148 ISIL_DE-950 GBV ExPruef AR 14120 Natur- und Umweltkatastrophen, Allgemein Allgemeines Naturschutz und Umweltschutz Umweltschutz, Umweltprobleme Natur- und Umweltkatastrophen Natur- und Umweltkatastrophen, Allgemein (DE-627)1270695622 (DE-625)rvk/8324: (DE-576)200695622 38.03 Methoden und Techniken der Geowissenschaften SEPA (DE-627)106411284 43.48 Regionale Umweltprobleme SEPA (DE-627)181569981 BO 045F 550 045F 526.1 23 01 0830 1450797881 00 --%%-- --%%-- s --%%-- olr-springer i z 20-12-13 60 01 0705 1650307691 SpringerLink Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 09-12-16 62 01 0028 1462482929 OLR-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 09-03-14 65 01 0003 1655672215 03 --%%-- ebook --%%-- --%%-- OLR-SEB-ZDB-2-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. k3o 02-01-17 110 01 3110 4305028646 00 --%%-- --%%-- s --%%-- OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-04-23 120 01 0715 1447010515 OLR-ESP Campusweiter Zugriff (Universität Oldenburg). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden. z 26-11-13 120 02 0715 1754280773 00 --%%-- --%%-- g --%%-- alma ww z 22-02-18 120 03 0715 3580250841 00 --%%-- --%%-- g --%%-- alma ww z 23-01-20 285 01 0517 1447018109 00 --%%-- --%%-- s --%%-- OLR-ESP-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 26-11-13 370 01 4370 1450050204 olr-springer Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 13-12-13 2014 01 DE-90 3361940206 00 --%%-- --%%-- n --%%-- l01 11-09-13 2014 02 DE-90 3361940214 00 --%%-- --%%-- n --%%-- l02 11-09-13 2017 01 DE-576 3361940222 00 --%%-- --%%-- --%%-- n Besitznachweis BSZ nur für Dateneinspielung, keine echte Lizenz vorhanden l01 08-08-13 2027 01 DE-105 3361940230 00 --%%-- --%%-- n --%%-- Campuslizenz l01 11-09-13 2050 01 DE-Zi4 3361940249 00 --%%-- --%%-- n --%%-- Elektronischer Volltext - Campuslizenz l01 11-09-13 2061 01 DE-520 3361940257 00 --%%-- eBook Springer n --%%-- eBook, Volltext nur im Campusnetz l01 11-09-13 2148 01 DE-950 3361940265 00 --%%-- eBook Springer --%%-- n Elektronischer Volltext - Campuslizenz l01 11-09-13 23 01 0830 Springer EBook https://doi.org/10.1007/978-3-642-12233-0 60 01 0705 Volltextzugang Campus https://doi.org/10.1007/978-3-642-12233-0 62 01 0028 https://doi.org/10.1007/978-3-642-12233-0 65 01 0003 Volltextzugang Campus https://doi.org/10.1007/978-3-642-12233-0 110 01 3110 https://doi.org/10.1007/978-3-642-12233-0 120 01 0715 http://dx.doi.org/10.1007/978-3-642-12233-0 120 02 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133998403501 120 03 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016133998403501 285 01 0517 E-books (Springer) https://doi.org/10.1007/978-3-642-12233-0 370 01 4370 E-Book: Zugriff im HCU-Netz. 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9783642122330 978-3-642-12233-0 10.1007/978-3-642-12233-0 doi (DE-627)1652993118 (DE-576)39337937X (DE-599)BSZ39337937X (OCoLC)874383289 (DE-He213)978-3-642-12233-0 DE-627 ger DE-627 rakwb eng XA-DE QC801-809 PHVG bicssc SCI032000 bisacsh 13 ssgn AR 14120 SEPA rvk (DE-625)rvk/8324: 38.03 bkl 43.48 bkl Wenzel, Friedemann verfasserin aut Early Warning for Geological Disasters Scientific Methods and Current Practice edited by Friedemann Wenzel, Jochen Zschau Berlin, Heidelberg s.l. Springer Berlin Heidelberg 2014 Online-Ressource (XV, 379 p. 143 illus., 114 illus. in color, online resource) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advanced Technologies in Earth Sciences SpringerLink Bücher Description based upon print version of record Preface; Acknowledgments; Contents; 1 Earthquake Early Warning and Tsunami Warning of the Japan Meteorological Agency, and Their Performance in the 2011 off the Pacific Coast of Tohoku Earthquake (Mw 9.0); 1.1 Introduction; 1.2 Earthquake Early Warning of JMA; 1.2.1 Observation of JMA Seismic Intensity; 1.2.2 Operation of JMA's EEW System; 1.2.3 JMA EEW During the Mw 9.0 Tohoku Earthquake; 1.2.4 Observed Waveforms and Seismic Intensity; 1.2.5 Under-Prediction of Intensity in Kanto; 1.2.6 Performance for Many Aftershocks; 1.2.7 Improvement for Extent of Rupture and Simultaneous Events 1.3 Tsunami Warning/Advisories of JMA1.3.1 JMA's Tsunami Warning Systems; 1.3.2 Performance of JMA Tsunami Warning During Mw 9.0 Tohoku Earthquake; 1.3.3 Observed Tsunami; 1.3.4 Lessons Learned from the Mw 9.0 Tohoku Earthquake Tsunami and Future Plans; 1.4 Summary and Remarks; References; 2 Estimation of Fault Rupture Extent Using Near-Source Records for Earthquake Early Warning; 2.1 Introduction; 2.2 Data; 2.2.1 Data Processing; 2.2.2 Data Distribution; 2.2.3 Soil Amplification Factors; 2.3 Method; 2.3.1 Near-Source and Far-Source Discriminant Function 2.3.2 Estimating 2D Fault Rupture Dimension2.4 Results; 2.4.1 Classification Function with All Datasets; 2.4.2 Effect of Dip Angle of the Fault; 2.4.3 Effect of Soil Amplification; 2.4.4 Estimated Rupture Dimension; 2.5 Conclusion; References; 3 CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California; 3.1 Introduction; 3.2 Early Warning Algorithms; 3.2.1 τc-Pd Onsite Algorithm; 3.2.2 Virtual Seismologist Algorithm; 3.2.3 ElarmS Algorithm; 3.3 Decision Module; 3.4 User Display; 3.5 Performance of CISN ShakeAlert; 3.6 Outreach; 3.7 Research on Finite Fault Ruptures 3.8 Conclusions and OutlookReferences; 4 The Mexican Seismic Alert System (SASMEX): Its Alert Signals, Broadcast Results and Performance During the M 7.4 Punta Maldonado Earthquake of March 20th, 2012; 4.1 Introduction; 4.2 SASMEX Achievements; 4.3 SASMEX Warning Broadcast; 4.4 The Punta Maldonado Earthquake; 4.4.1 Human Response After Activation of the Seismic Alert in Mexico City; 4.5 Discussion; References; 5 Development of Earthquake Early Warning Systems in the European Union; 5.1 Introduction; 5.2 EEW in Europe at the Dawn of XXI Century; 5.3 The SAFER Project; 5.4 The REAKT Project References6 EDIM: Earthquake Disaster Information System for the Marmara Region, Turkey; 6.1 Introduction; 6.2 Enhancement of the Current Early Warning System (KIT); 6.3 The Self-Organizing Seismic Early Warning Information System (GFZ Potsdam); 6.4 Infrastructure of Self-Organizing Sensor Systems (HU, Computer Science Department); 6.5 Development of a Dynamic Geoinformation-Infrastructure (DELPHI IMM GmbH, Potsdam); 6.6 Conclusions; References; 7 An Integrated Regional and On-Site Earthquake Early Warning System for Southern Italy: Concepts, Methodologies and Performances; 7.1 Introduction 7.2 The PRESTo Software Platform 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 Geography Physical geography Geology Ecology Earth Sciences Geography Physical geography Geology Ecology Geophysical prediction Natural disaster warning systems Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content s (DE-588)4124846-6 (DE-627)105744522 (DE-576)209571578 Erdbebenvorhersage gnd s (DE-588)4261303-6 (DE-627)104527757 (DE-576)210596740 Tsunami gnd s (DE-588)4178780-8 (DE-627)104608749 (DE-576)209986735 Rutschung gnd s (DE-588)4123236-7 (DE-627)105756652 (DE-576)209557990 Frühwarnsystem gnd s (DE-588)4227077-7 (DE-627)104966661 (DE-576)210319461 Lavastrom gnd DE-101 s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4226136-3 (DE-627)104973846 (DE-576)210311681 Warnung gnd s (DE-588)4038971-6 (DE-627)106230158 (DE-576)209032642 Methode gnd DE-101 s (DE-588)4124846-6 (DE-627)105744522 (DE-576)209571578 Erdbebenvorhersage gnd s (DE-588)4261303-6 (DE-627)104527757 (DE-576)210596740 Tsunami gnd s (DE-588)4178780-8 (DE-627)104608749 (DE-576)209986735 Rutschung gnd s (DE-588)4123236-7 (DE-627)105756652 (DE-576)209557990 Frühwarnsystem gnd s (DE-588)4227077-7 (DE-627)104966661 (DE-576)210319461 Lavastrom gnd (DE-627) s (DE-588)4041387-1 (DE-627)10475754X (DE-576)209044675 Naturkatastrophe gnd s (DE-588)4226136-3 (DE-627)104973846 (DE-576)210311681 Warnung gnd s (DE-588)4038971-6 (DE-627)106230158 (DE-576)209032642 Methode gnd (DE-627) Zschau, Jochen 1944- hrsg (DE-588)114577122X (DE-627)1006909206 (DE-576)170107884 edt 9783642122323 Erscheint auch als Druck-Ausgabe Early warning for geological disasters Berlin : Springer, 2014 XV, 379 S. 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Early Warning for Geological Disasters |
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Beiträge <Formschlagwort> Einzelbeiträge Sammelwerk <Formschlagwort> Aufsatzsammlung Erdbebenregistrierung Erdbeben / Prognose Erdbebenprognose Erdbebenvorhersage Seismische Woge Tsunami Hangrutschung Rutschung Frühaufklärung <Frühwarnsystem> Frühwarnsystem Lavastrom Naturkatastrophen Naturkatastrophe Warnung Technik <Methode> Verfahren <Methode> Methoden Methodik Methode Zschau, Jochen |
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Beiträge <Formschlagwort> Einzelbeiträge Sammelwerk <Formschlagwort> Aufsatzsammlung Erdbebenregistrierung Erdbeben / Prognose Erdbebenprognose Erdbebenvorhersage Seismische Woge Tsunami Hangrutschung Rutschung Frühaufklärung <Frühwarnsystem> Frühwarnsystem Lavastrom Naturkatastrophen Naturkatastrophe Warnung Technik <Methode> Verfahren <Methode> Methoden Methodik Methode Zschau, Jochen |
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Beiträge <Formschlagwort> Einzelbeiträge Sammelwerk <Formschlagwort> Aufsatzsammlung Erdbebenregistrierung Erdbeben / Prognose Erdbebenprognose Erdbebenvorhersage Seismische Woge Tsunami Hangrutschung Rutschung Frühaufklärung <Frühwarnsystem> Frühwarnsystem Lavastrom Naturkatastrophen Naturkatastrophe Warnung Technik <Methode> Verfahren <Methode> Methoden Methodik Methode Zschau, Jochen |
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10.1007/978-3-642-12233-0 |
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| up_date |
2024-07-16T00:32:58.841Z |
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Acknowledgments; Contents; 1 Earthquake Early Warning and Tsunami Warning of the Japan Meteorological Agency, and Their Performance in the 2011 off the Pacific Coast of Tohoku Earthquake (Mw 9.0); 1.1 Introduction; 1.2 Earthquake Early Warning of JMA; 1.2.1 Observation of JMA Seismic Intensity; 1.2.2 Operation of JMA's EEW System; 1.2.3 JMA EEW During the Mw 9.0 Tohoku Earthquake; 1.2.4 Observed Waveforms and Seismic Intensity; 1.2.5 Under-Prediction of Intensity in Kanto; 1.2.6 Performance for Many Aftershocks; 1.2.7 Improvement for Extent of Rupture and Simultaneous Events</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">1.3 Tsunami Warning/Advisories of JMA1.3.1 JMA's Tsunami Warning Systems; 1.3.2 Performance of JMA Tsunami Warning During Mw 9.0 Tohoku Earthquake; 1.3.3 Observed Tsunami; 1.3.4 Lessons Learned from the Mw 9.0 Tohoku Earthquake Tsunami and Future Plans; 1.4 Summary and Remarks; References; 2 Estimation of Fault Rupture Extent Using Near-Source Records for Earthquake Early Warning; 2.1 Introduction; 2.2 Data; 2.2.1 Data Processing; 2.2.2 Data Distribution; 2.2.3 Soil Amplification Factors; 2.3 Method; 2.3.1 Near-Source and Far-Source Discriminant Function</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">2.3.2 Estimating 2D Fault Rupture Dimension2.4 Results; 2.4.1 Classification Function with All Datasets; 2.4.2 Effect of Dip Angle of the Fault; 2.4.3 Effect of Soil Amplification; 2.4.4 Estimated Rupture Dimension; 2.5 Conclusion; References; 3 CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California; 3.1 Introduction; 3.2 Early Warning Algorithms; 3.2.1 τc-Pd Onsite Algorithm; 3.2.2 Virtual Seismologist Algorithm; 3.2.3 ElarmS Algorithm; 3.3 Decision Module; 3.4 User Display; 3.5 Performance of CISN ShakeAlert; 3.6 Outreach; 3.7 Research on Finite Fault Ruptures</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">3.8 Conclusions and OutlookReferences; 4 The Mexican Seismic Alert System (SASMEX): Its Alert Signals, Broadcast Results and Performance During the M 7.4 Punta Maldonado Earthquake of March 20th, 2012; 4.1 Introduction; 4.2 SASMEX Achievements; 4.3 SASMEX Warning Broadcast; 4.4 The Punta Maldonado Earthquake; 4.4.1 Human Response After Activation of the Seismic Alert in Mexico City; 4.5 Discussion; References; 5 Development of Earthquake Early Warning Systems in the European Union; 5.1 Introduction; 5.2 EEW in Europe at the Dawn of XXI Century; 5.3 The SAFER Project; 5.4 The REAKT Project</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">References6 EDIM: Earthquake Disaster Information System for the Marmara Region, Turkey; 6.1 Introduction; 6.2 Enhancement of the Current Early Warning System (KIT); 6.3 The Self-Organizing Seismic Early Warning Information System (GFZ Potsdam); 6.4 Infrastructure of Self-Organizing Sensor Systems (HU, Computer Science Department); 6.5 Development of a Dynamic Geoinformation-Infrastructure (DELPHI IMM GmbH, Potsdam); 6.6 Conclusions; References; 7 An Integrated Regional and On-Site Earthquake Early Warning System for Southern Italy: Concepts, Methodologies and Performances; 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Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">09-03-14</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">65</subfield><subfield code="1">01</subfield><subfield code="x">0003</subfield><subfield code="b">1655672215</subfield><subfield code="c">03</subfield><subfield code="f">--%%--</subfield><subfield code="d">ebook</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-SEB-ZDB-2-EES</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. 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Friedemann Wenzel • Jochen Zschau Editors Early Warning for Geological Disasters Scientific Methods and Current Practice ^ Springer Contents Earthquake Early Warning and Tsunami Warning of the Japan Meteorological Agency, and Their Performance in the 2011 off the Pacific Coast of Tohoku Earthquake (Mw9.0) M. Hoshiba and T. Ozaki Estimation of Fault Rupture Extent Using Near-Source Records for Earthquake Early Warning M. Yamada CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California M. Bose, R. Allen, H. Brown, G. Gua, M. Fischer, E. Hauksson, T. Heaten, M. Hellweg, M. Liukis, D. Neuhauser and P. Maechling The Mexican Seismic Alert System (SASMEX): Its Alert Signals, Broadcast Results and Performance During the M … Punta Maldonado Earthquake of March 20th, 2012 A. Cuellar, J. M. Espinosa-Aranda, R. Suarez, G. Ibarrola, A. Uribe, F. H. Rodriguez, R. Islas, G. M. Rodriguez, A. Garcia and B. Frontana Development of Earthquake Early Warning Systems in the European Union P. Gasparini and G. Manfredi EDIM: Earthquake Disaster Information System for the Marmara Region, Turkey F. Wenzel, M. Erdik, N. Kohler, J. Zschau, C. Milkereit, M. Picozzi, J. Fischer, J. P. Redlich, F. Kiihnlenz, B. Lichtblau, I. Eveslage, I. Christ, R. Lessing and C. Kiehle … xiv … Contents An Integrated Regional and On-Site Earthquake Early Warning System for Southern Italy: Concepts, Methodologies and Performances A. Zollo, S. Colombelli, L. Elia, A. Emolo, G. Festa, G. Iannaccone, C. Martino and P. Gasparini … Earthquake Early Warning for Transport Lines G. Bonn, A. Buchmann, D. Hilbring, E. Hohnecker, T. Titzschkau and F. Wenzel … The Earthquake and Tsunami Early Warning System for the Indian Ocean (GITEWS) J. Lauterjung, A. Rudloff, U. Miinch and D. J. Acksel … Walking the Last Mile: Contributions to the Development of an End-to-End Tsunami Early Warning System in Indonesia H. Spahn, M. Hoppe, A. Kodijat, I. Rafliana, B. Usdianto and H. Dwi Vidiarina … The Last-Mile Evacuation Project: A Multi-disciplinary Approach to Evacuation Planning and Risk Reduction in Tsunami-Threatened Coastal Areas N. Goseberg, G. Lammel, H. Taubenbock, N. Setiadi, J. Birkmann and T. Schlurmann … The Role of Information and Communication Technology in the Development of Early Warning Systems for Geological Disasters: The Tsunami Show Case J. Wachter and T. Uslander … A Test of Earthquake Early Warning System Using Low Cost Accelerometer in Hualien, Taiwan Y.-M. Wu and T.-L. Lin … Applications of a Low-Cost, Wireless, Self-Organising System (SOSEWIN) to Earthquake Early Warning and Structural Health Monitoring M. Picozzi, C. Milkereit, K. Fleming, J. Fischer, K-H. Jaeckel, D. Bindi, S. Parolai and J. Zschau … Contents … Low Cost 3D Early Warning System for Alpine Instable Slopes: The Aggenalm Landslide Monitoring System K. Thuro, Th. Wunderlich, O. Heunecke, J. Singer, P. Wasmeier, St. Schuhback, J. Festl, Ch. Reith and J. Glabsch … Operational Integration of Spaceborne Measurements of Lava Discharge Rates and Sulfur Dioxide Concentrations for Global Volcano Monitoring F. Ferrucci, N. Theys, B. Hirn, L. Clarisse, P. Valks, G. Laneve, R. van der A, S. Tait, C. Di Bartola and H. Brenot … Engineering Earthquake Early Warning via Regional Networks I. Iervolino … Operational Earthquake Forecasting and Decision-Making … G. Woo and W. Marzocchi … How Useful is Early Warning and Can It Be Made More Effective? M. Wyss, F. Wenzel and J. Daniell |
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Acknowledgments; Contents; 1 Earthquake Early Warning and Tsunami Warning of the Japan Meteorological Agency, and Their Performance in the 2011 off the Pacific Coast of Tohoku Earthquake (Mw 9.0); 1.1 Introduction; 1.2 Earthquake Early Warning of JMA; 1.2.1 Observation of JMA Seismic Intensity; 1.2.2 Operation of JMA's EEW System; 1.2.3 JMA EEW During the Mw 9.0 Tohoku Earthquake; 1.2.4 Observed Waveforms and Seismic Intensity; 1.2.5 Under-Prediction of Intensity in Kanto; 1.2.6 Performance for Many Aftershocks; 1.2.7 Improvement for Extent of Rupture and Simultaneous Events</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">1.3 Tsunami Warning/Advisories of JMA1.3.1 JMA's Tsunami Warning Systems; 1.3.2 Performance of JMA Tsunami Warning During Mw 9.0 Tohoku Earthquake; 1.3.3 Observed Tsunami; 1.3.4 Lessons Learned from the Mw 9.0 Tohoku Earthquake Tsunami and Future Plans; 1.4 Summary and Remarks; References; 2 Estimation of Fault Rupture Extent Using Near-Source Records for Earthquake Early Warning; 2.1 Introduction; 2.2 Data; 2.2.1 Data Processing; 2.2.2 Data Distribution; 2.2.3 Soil Amplification Factors; 2.3 Method; 2.3.1 Near-Source and Far-Source Discriminant Function</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">2.3.2 Estimating 2D Fault Rupture Dimension2.4 Results; 2.4.1 Classification Function with All Datasets; 2.4.2 Effect of Dip Angle of the Fault; 2.4.3 Effect of Soil Amplification; 2.4.4 Estimated Rupture Dimension; 2.5 Conclusion; References; 3 CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California; 3.1 Introduction; 3.2 Early Warning Algorithms; 3.2.1 τc-Pd Onsite Algorithm; 3.2.2 Virtual Seismologist Algorithm; 3.2.3 ElarmS Algorithm; 3.3 Decision Module; 3.4 User Display; 3.5 Performance of CISN ShakeAlert; 3.6 Outreach; 3.7 Research on Finite Fault Ruptures</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">3.8 Conclusions and OutlookReferences; 4 The Mexican Seismic Alert System (SASMEX): Its Alert Signals, Broadcast Results and Performance During the M 7.4 Punta Maldonado Earthquake of March 20th, 2012; 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