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Hydro-Meteorological Landslide Inventory for Sustainable Urban Management in a Coastal Region of Brazil

Author

Listed:
  • Paulo Rodolpho Pereira Hader

    (Department of Civil Engineering, University of Granada, 18071 Granada, Spain)

  • Isabela Taici Lopes Gonçalves Horta

    (São Carlos School of Engineering, University of São Paulo, São Carlos 13566-590, Brazil)

  • Victor Arroyo da Silva do Valle

    (Civil Protection and Defence Department, Santos City Hall, Santos 11013-550, Brazil)

  • Clemente Irigaray

    (Department of Civil Engineering, University of Granada, 18071 Granada, Spain)

Abstract

Comprehensive, standardised, multi-temporal inventories of rainfall-induced landslides linked to soil moisture remain scarce, especially in tropical regions. Addressing this gap, we present a multi-source urban inventory for Brazil’s Baixada Santista region (1988–2024). A key advance is the introduction of geographical and temporal confidence classifications, which indicates precisely how each landslide’s location and occurrence date are known, thereby addressing a previously overlooked criterion in Brazil’s landslide data treatment. The inventory comprises 2534 records categorised by spatial (G1–G3) and temporal (T1–T3) confidence. Notable findings include the following: (i) confidence classifications enhance inventory reliability for research and early warning, though precise temporal data remains challenging; (ii) multi-source integration with UAV validation is key to robust inventories in urban tropical regions; (iii) soil moisture complements rainfall-based warnings, but requires local calibration for satellite-derived estimates; (iv) data gaps and biases underscore the need for standardised landslide documentation; and (v) the framework is transferable, providing a scalable model for Brazil and worldwide. Despite limitations, the inventory provides a foundation for (i) susceptibility and hazard modelling; (ii) empirical thresholds for early warning; and (iii) climate-related trend analyses. Overall, the framework offers a sustainable, practical, transferable method for worldwide and contributes to strengthening disaster information systems and early warning capacities.

Suggested Citation

  • Paulo Rodolpho Pereira Hader & Isabela Taici Lopes Gonçalves Horta & Victor Arroyo da Silva do Valle & Clemente Irigaray, 2025. "Hydro-Meteorological Landslide Inventory for Sustainable Urban Management in a Coastal Region of Brazil," Sustainability, MDPI, vol. 17(16), pages 1-29, August.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:16:p:7487-:d:1727578
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    References listed on IDEAS

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    1. Dalia Kirschbaum & Robert Adler & Yang Hong & Stephanie Hill & Arthur Lerner-Lam, 2010. "A global landslide catalog for hazard applications: method, results, 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. 52(3), pages 561-575, March.
    2. Ugur Ozturk & Elisa Bozzolan & Elizabeth A. Holcombe & Roopam Shukla & Francesca Pianosi & Thorsten Wagener, 2022. "How climate change and unplanned urban sprawl bring more landslides," Nature, Nature, vol. 608(7922), pages 262-265, August.
    3. José Antonio Palenzuela & Jorge David Jiménez-Perálvarez & José Chacón & Clemente Irigaray, 2016. "Assessing critical rainfall thresholds for landslide triggering by generating additional information from a reduced database: an approach with examples from the Betic Cordillera (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. 84(1), pages 185-212, October.
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