Starten Sie Ihre Suche...


Durch die Nutzung unserer Webseite erklären Sie sich damit einverstanden, dass wir Cookies verwenden. Weitere Informationen

Earthquake Early Warning System for Transport Lines

Natural Hazards. Bd. 70. H. 3. 2014 S. 1795 - 1825

Erscheinungsjahr: 2014

ISBN/ISSN: 0921-030X

Publikationstyp: Zeitschriftenaufsatz

Sprache: Englisch

GeprüftBibliothek

Inhaltszusammenfassung


This paper analyzes the potential of earthquake early-warning systems for transport lines. The interdisciplinary work focuses on rapidly producing an alert map during an ongoing earthquake as well as providing a damage map immediately after the strong-motion phase that visualizes potential damages to the railway infrastructure. In order to meet these application requirements, a service-oriented architecture based on geospatial standards is specified. This ensures the portability of the system...This paper analyzes the potential of earthquake early-warning systems for transport lines. The interdisciplinary work focuses on rapidly producing an alert map during an ongoing earthquake as well as providing a damage map immediately after the strong-motion phase that visualizes potential damages to the railway infrastructure. In order to meet these application requirements, a service-oriented architecture based on geospatial standards is specified. This ensures the portability of the system architecture to different geographic regions as well as a potential transfer to other natural disasters and infrastructure systems. The first part of the paper describes the standard-based services of the system architecture together with design principles that are useful for the realization of early-warning systems. In the second part of the paper, an online demonstrator for the exemplary test area in the federal state of Baden-Württemberg, Germany, is presented. The system architecture of the demonstrator includes an earthquake early-warning methodology based on artificial neural networks and an infrastructure-specific damage assessment. The third part of the paper analyzes the potential of implementing low-cost sensors in the track, which would provide a dense network directly at the railway infrastructure.» weiterlesen» einklappen

  • Earthquake early warning
  • Service-oriented architecture
  • Artificial neural networks
  • Noise model
  • Hazard and vulnerability analysis for railway lines

Klassifikation


DDC Sachgruppe:
Geowissenschaften

Verknüpfte Personen