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Landslide susceptibility assessment using different rainfall event-based landslide inventories: advantages and limitations

Author

Listed:
  • Sérgio C. Oliveira

    (Universidade de Lisboa
    Associate Laboratory TERRA)

  • José L. Zêzere

    (Universidade de Lisboa
    Associate Laboratory TERRA)

  • Ricardo A. C. Garcia

    (Universidade de Lisboa
    Associate Laboratory TERRA)

  • Susana Pereira

    (Universidade de Lisboa
    Associate Laboratory TERRA
    Geography Department, Faculty of Arts and Humanities, University of Porto)

  • Teresa Vaz

    (Universidade de Lisboa)

  • Raquel Melo

    (Universidade de Lisboa
    Associate Laboratory TERRA)

Abstract

The present work aims to evaluate potential sources of uncertainty associated with rainfall-triggered event-based landslide inventories within the framework of landslide susceptibility assessment. Therefore, this study addresses the following questions: (i) How representative is an event-based landslide inventory map of the total landslide activity and distribution in a study area?; (ii) How reliable is an event-based landslide susceptibility map?; (iii) How appropriate is an event-based landslide inventory map for independently validating a landslide susceptibility map? To address these questions, two independent and contrasting rainfall event-based landslide inventories were used, together with a historical landslide inventory, to assess landslide susceptibility for different types of landslides in a study area located north of Lisbon, Portugal. The results revealed the following findings: (i) contrasting rainfall critical conditions for failure can trigger similar landslide types, although they may vary in size and be spatially constrained by different predisposing conditions, particularly lithology and soil type; (ii) landslide susceptibility models using event-based landslide inventories are not reliable in the study area, regardless of the landslide inventory map used for training and validation; and (iii) complementary sources of uncertainty results from using incomplete historical landslide inventories to assess landslide susceptibility and non-totally independent landslide inventories for modeling validation. The present study enhances the understanding of regional landslide susceptibility patterns based on contrasting rainfall-trigger conditions, providing valuable information to minimize exposure; to design regional landslide early warning systems for specific rainfall-trigger landslide events; and to improve the response and preparedness of civil protection services.

Suggested Citation

  • Sérgio C. Oliveira & José L. Zêzere & Ricardo A. C. Garcia & Susana Pereira & Teresa Vaz & Raquel Melo, 2024. "Landslide susceptibility assessment using different rainfall event-based landslide inventories: advantages and limitations," 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. 120(10), pages 9361-9399, August.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:10:d:10.1007_s11069-024-06691-1
    DOI: 10.1007/s11069-024-06691-1
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    References listed on IDEAS

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    1. S. L. Gariano & G. Verini Supplizi & F. Ardizzone & P. Salvati & C. Bianchi & R. Morbidelli & C. Saltalippi, 2021. "Long-term analysis of rainfall-induced landslides in Umbria, central Italy," 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. 106(3), pages 2207-2225, April.
    2. T. Vaz & J. L. Zêzere, 2016. "Landslides and other geomorphologic and hydrologic effects induced by earthquakes in Portugal," 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. 81(1), pages 71-98, March.
    3. Netra Bhandary & Ranjan Dahal & Manita Timilsina & Ryuichi Yatabe, 2013. "Rainfall event-based landslide susceptibility zonation mapping," 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. 69(1), pages 365-388, October.
    4. Txomin Bornaetxea & Juan Remondo & Jaime Bonachea & Pablo Valenzuela, 2023. "Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain)," 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. 118(3), pages 2513-2542, September.
    5. T. Vaz & J. Zêzere, 2016. "Landslides and other geomorphologic and hydrologic effects induced by earthquakes in Portugal," 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. 81(1), pages 71-98, March.
    6. Cheng Su & Lili Wang & Xizhi Wang & Zhicai Huang & Xiaocan Zhang, 2015. "Mapping of rainfall-induced landslide susceptibility in Wencheng, China, using support vector machine," 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. 76(3), pages 1759-1779, April.
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