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Landslide Hazard, Environmental Dependencies and Computer Simulations

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Large-Scale Scientific Computing (LSSC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10665))

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Abstract

Shallow landslides triggered by weather conditions are a major hazard in most mountainous and hilly regions of Europe. An efficient system for the evaluation of landslide hazard level from weather forecast data allows the possibility to develop fast alert systems and well-organized crisis management plans. A system of this kind should estimate the effect of weather on the slope stability and translate this estimation in a easy to use hazard map. So, its main components are a model for the dynamics of soil moisture, a model for the slope stability analysis, and a proper information system able to manage the corresponding data flow. The system presented in this paper has been developed during the LANDSLIDE project and it is available at web site http://93.123.110.111/landslide/.

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Acknowledgments

This work has been supported by the projects the Bulgarian National Fund 02/20 and LANDSLIDE DG ECHO/SUB/2014/693902.

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Authors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113, Sofia, Bulgaria

    Nina Dobrinkova

  2. School of Science and Technology, University of Camerino, 62032, Camerino, MC, Italy

    Pierluigi Maponi

Authors
  1. Nina Dobrinkova
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  2. Pierluigi Maponi
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Corresponding author

Correspondence to Nina Dobrinkova .

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Editors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Ivan Lirkov

  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Svetozar Margenov

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Dobrinkova, N., Maponi, P. (2018). Landslide Hazard, Environmental Dependencies and Computer Simulations. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2017. Lecture Notes in Computer Science(), vol 10665. Springer, Cham. https://doi.org/10.1007/978-3-319-73441-5_50

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  • DOI: https://doi.org/10.1007/978-3-319-73441-5_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73440-8

  • Online ISBN: 978-3-319-73441-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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