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Contribution of High-Resolution Virtual Outcrop Models for the Definition of Rockfall Activity and Associated Hazard Modelling

Author

Listed:
  • Carlo Robiati

    (Camborne School of Mines, University of Exeter, Penryn, Cornwall TR10 9EZ, UK)

  • Giandomenico Mastrantoni

    (Department of Earth Sciences & CERI Research Centre, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy)

  • Mirko Francioni

    (Camborne School of Mines, University of Exeter, Penryn, Cornwall TR10 9EZ, UK
    Department of Pure and Applied Sciences, Carlo Bo University of Urbino, 61029 Urbino, Italy)

  • Matthew Eyre

    (Camborne School of Mines, University of Exeter, Penryn, Cornwall TR10 9EZ, UK)

  • John Coggan

    (Camborne School of Mines, University of Exeter, Penryn, Cornwall TR10 9EZ, UK)

  • Paolo Mazzanti

    (Department of Earth Sciences & CERI Research Centre, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
    NHAZCA S.r.l., Via Vittorio Bachelet 12, 00185 Rome, Italy)

Abstract

The increased accessibility of drone technology and structure from motion 3D scene reconstruction have transformed the approach for mapping inaccessible slopes undergoing active rockfalls and generating virtual outcrop models (VOM). The Poggio Baldi landslide (Central Italy) and its natural laboratory offers the possibility to monitor and characterise the slope to define a workflow for rockfall hazard analysis. In this study, the analysis of multitemporal VOM (2016–2019) informed a rockfall trajectory analysis that was carried out with a physical-characteristic-based GIS model. The rockfall scenarios were reconstructed and then tested based on the remote sensing observations of the rock mass characteristics of both the main scarp and the rockfall fragment inventory deposited on the slope. The highest concentration of trajectory endpoints occurred at the very top of the debris talus, which was constrained by a narrow channel, while longer horizontal travel distances were allowed on the lower portion of the slope. To further improve the understanding of the Poggio Baldi landslide, a time-independent rockfall hazard analysis aiming to define the potential runout associated with several rock block volumetric classes is a critical component to any subsequent risk analysis in similar mountainous settings featuring marly–arenaceous multilayer sedimentary successions and reactivated main landslide scarps.

Suggested Citation

  • Carlo Robiati & Giandomenico Mastrantoni & Mirko Francioni & Matthew Eyre & John Coggan & Paolo Mazzanti, 2023. "Contribution of High-Resolution Virtual Outcrop Models for the Definition of Rockfall Activity and Associated Hazard Modelling," Land, MDPI, vol. 12(1), pages 1-20, January.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:1:p:191-:d:1027585
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    References listed on IDEAS

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    1. Matthew Lato & Mark Diederichs & D. Hutchinson & Rob Harrap, 2012. "Evaluating roadside rockmasses for rockfall hazards using LiDAR data: optimizing data collection and processing protocols," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(3), pages 831-864, February.
    2. Michel Jaboyedoff & Thierry Oppikofer & Antonio Abellán & Marc-Henri Derron & Alex Loye & Richard Metzger & Andrea Pedrazzini, 2012. "Use of LIDAR in landslide investigations: a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(1), pages 5-28, March.
    3. Roberto Sarro & Rosa María Mateos & Paola Reichenbach & Héctor Aguilera & Adrián Riquelme & Luis Enrique Hernández-Gutiérrez & Alejandro Martín & Anna Barra & Lorenzo Solari & Oriol Monserrat & Massim, 2020. "Geotechnics for rockfall assessment in the volcanic island of Gran Canaria (Canary Islands, Spain)," Journal of Maps, Taylor & Francis Journals, vol. 16(2), pages 605-613, December.
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