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Landslides – Disaster Risk Reduction pp 351–375Cite as

Monitoring, Prediction and Early Warning

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Abstract

Landslide risk reduction is a societal pressing need in for counties and also areas along coasts, lakes, rivers in relatively flat countries. Engineering measures to stabilize dangerous slopes needs very high cost and not feasible for many cases. Monitoring, Prediction, Early Warning is the most economical landslide risk reduction measure which is applicable for both developed and developing countries. This chapter presents monitoring of triggering factors, slope deformation, other indicators in indoor experiments, field experiments as well as in natural condition. Methodology of prediction and early warning is examined based on these monitoring and topographical, geological and hydrological conditions.

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Author information

Authors and Affiliations

  1. International Consortium on Landslides, USA

    Kyoji Sassa

  2. Seconda Universtà di Napoli, Italy

    Luciano Picarelli

  3. China Geological Survey, China

    Yin Yueping

Authors
  1. Kyoji Sassa
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  2. Luciano Picarelli
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  3. Yin Yueping
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Editor information

Editors and Affiliations

  1. UNITWIN Headquarter Building Kyoto University Uji Campus Gokasho Uji, Kyoto 611-0011, Japan

    Kyoji Sassa (Prof. Dr.) (Prof. Dr.)

  2. Università di Firenze Dipto. Scienze della Terra via G, La Pira, 4, Firenze 50121, Italy

    Paolo Canuti (Prof. Dr.) (Prof. Dr.)

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Sassa, K., Picarelli, L., Yueping, Y. (2009). Monitoring, Prediction and Early Warning. In: Sassa, K., Canuti, P. (eds) Landslides – Disaster Risk Reduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69970-5_20

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