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Landslides

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Monitoring strategies for local landslide early warning systems

  • Gaetano Pecoraro
  • Michele Calvello
  • Luca Piciullo
Review Paper
  • 212 Downloads

Abstract

The main aim of this study is the description and the analysis of the monitoring strategies implemented within local landslide early warning systems (Lo-LEWS) operational all around the world. Relevant information on 29 Lo-LEWS have been retrieved from peer-reviewed articles published in scientific journals and proceedings of technical conferences, books, reports, and institutional web pages. The first part of the paper describes the characteristics of these early warning systems considering their different components. The main characteristics of each system are summarized using tables with the aim of providing easily accessible information for technicians, experts, and stakeholders involved in the design and operation of Lo-LEWSs. The second part of the paper describes the monitoring networks adopted within the considered systems. Monitoring strategies are classified in terms of monitored activities and methods detailing the parameters and instruments adopted. The latter are classified as a function of the type of landslide being monitored. The discussion focuses on issues relevant for early warning, including appropriateness of the measurements, redundancy of monitoring methods, data analysis, and performance. Moreover, a description of the most used monitoring parameters and instruments for issuing warnings is presented.

Keywords

LEWS Landslide models Warning models Warning systems Risk management 

Notes

Acknowledgments

The authors are grateful to the editor, Jonathan Godt, and to the two anonymous referees for their fruitful and useful comments. The authors thank the Norwegian Geotechnical Institute for the financial contribution and for the involvement of Gaetano Pecoraro and Luca Piciullo in WP3.4-Early warning systems in the context of the project Klima 2050-Risk reduction through climate adaptation of buildings and infrastructure.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018
corrected publication 2018

Authors and Affiliations

  1. 1.Department of Civil EngineeringUniversity of SalernoFiscianoItaly
  2. 2.Department of Earth and Environmental SciencesUniversity of Milano-BicoccaMilanoItaly
  3. 3.Norwegian Geotechnical Institute – NGI Ullevål StadionOsloNorway

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