Summary

  • Benni Thiebes
Chapter
Part of the Springer Theses book series (Springer Theses)

Abstract

Landslides are among the most hazardous natural hazards and can have disastrous effects on society as demonstrated by recent large slope failures for example in China. In places, where landslide prone areas cannot be avoided or slopes cannot be stabilised, early warning systems can be a useful counter-measure to effectively protect the local population and also act as an integral element of risk management. Despite the common use of slope stability simulation software for landslide analysis and forecasting in geotechnical practice, landslide early warning systems rarely take full advantage of these models. Moreover, regional landslide early warning systems are mostly implemented as prototype applications even though necessary input data like quantitative rainfall forecasts and rainfall thresholds are widely available.

Keywords

Early Warning Slope Stability Landslide Inventory Rainfall Threshold Landslide Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Aslan AM, Burghaus S, Li L, Schauerte W, Kuhlmann H (2010) Bewegungen an der Oberfläche. In: Bell R, Pohl J, Glade T, Mayer J, Greiving S (eds) Integrative Frühwarnsysteme für gravitative Massenbewegungen (ILEWS) Monitoring, Modellierung, Implementierung. Klartext, Essen, Germany, pp 74–84Google Scholar
  2. Chleborad AF, Baum RL, Godt JW (2006) Rainfall thresholds for forecasting landslide in the Seattle. Washington, area—exceedance and probability. U.S. Geological Survey Open File Report 2006–1064Google Scholar
  3. Jäger S, Paulsen H, Mayer C, Huber B, Dietz R, Greve K, Camek T (2010) Informationstechnik in der Frühwarnmodellierung. In: Bell R, Pohl J, Glade T, Mayer J, Greiving S (eds) Integrative Frühwarnsysteme für gravitative Massenbewegungen (ILEWS) Monitoring, Modellierung, Implementierung. Klartext, Essen, Germany, pp 155–179Google Scholar
  4. Mayer J, Pohl W (2010) Risikokommunikation. In: Bell R, Pohl J, Glade T, Mayer J, Greiving S (eds) Integrative Frühwarnsysteme für gravitative Massenbewegungen (ILEWS) Monitoring, Modellierung, Implementierung. Klartext, Essen, Germany, pp 180–202Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Benni Thiebes
    • 1
  1. 1.Department of Geography and Regional ResearchUniversity of ViennaViennaAustria

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