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TXT-tool 4.039-3.1: Terrestrial Laser Scanner and Geomechanical Surveys for the Rapid Evaluation of Rock Fall Susceptibility Scenarios

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Abstract

This paper is aimed at presenting a semiautomatic procedure that, coupled with conventional methods, can be useful for a prompt definition of rock fall susceptibility scenarios with civil protection purposes. Due to its landscape morphology (steep slopes and narrow valley), regional seismicity, and rock mass characteristics, the Nera Valley (Valnerina, Umbria Region, Italy) is highly prone to rock falls. In order to cover a wide range of features and investigate the main advantages and drawbacks of the proposed approach, data collection was carried out in three different slopes by means of terrestrial laser scanning (TLS) and geomechanical surveys. Detailed three-dimensional (3D) terrain models were reconstructed to obtain the geometry of the most unstable blocks, to define the position of the main rock fall source areas, and to precisely distinguish the outcropping materials and the position of the elements at risk for reliable runout analyses. Consequently, the proposed approach can positively support proper maintenance and land management programs both in ordinary and in emergency circumstances.

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Acknowledgements

This work was carried out within a research contract between the Department of Civil and Environmental Engineering of the University of Perugia and the Department of Earth Sciences, University of Firenze. The authors are also thankful to Prof. Hengxing Lan for his kind authorization to employ the Rockfall Analyst software for 3D simulations.

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Authors and Affiliations

  1. Department of Earth Sciences, University of Firenze, via G. La Pira n.4, I-20121, Florence, Italy

    Giovanni Gigli, Stefano Morelli, Simone Fornera & Nicola Casagli

Authors
  1. Giovanni Gigli
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  2. Stefano Morelli
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  3. Simone Fornera
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  4. Nicola Casagli
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Corresponding author

Correspondence to Giovanni Gigli .

Editor information

Editors and Affiliations

  1. International Consortium on Landslides, Kyoto, Japan

    Kyoji Sassa

  2. Civil and Environmental Engineering, California State University, Fullerton, California, USA

    Binod Tiwari

  3. Department of Civil Engineering, National Taiwan University, Taipei, Taiwan

    Ko-Fei Liu

  4. GNS Science, Lower Hutt, New Zealand

    Mauri McSaveney

  5. Geodynamics Research Center—branch of JSC “Hydroproject Institute”, Moscow, Russia

    Alexander Strom

  6. Disaster Prevention Research Institute, Kyoto University, Uji, Kyoto, Japan

    Hendy Setiawan

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Gigli, G., Morelli, S., Fornera, S., Casagli, N. (2018). TXT-tool 4.039-3.1: Terrestrial Laser Scanner and Geomechanical Surveys for the Rapid Evaluation of Rock Fall Susceptibility Scenarios. In: Sassa, K., Tiwari, B., Liu, KF., McSaveney, M., Strom, A., Setiawan, H. (eds) Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools . Springer, Cham. https://doi.org/10.1007/978-3-319-57777-7_28

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