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Recommendations for Landslide Early Warning Systems in Informal Settlements Based on a Case Study in Medellín, Colombia

Author

Listed:
  • Moritz Gamperl

    (Chair of Engineering Geology, Technical University of Munich, 80333 Munich, Germany)

  • John Singer

    (AlpGeorisk, 86609 Donauwörth, Germany)

  • Carolina Garcia-Londoño

    (Geological Society of Colombia, Antioquia Chapter, 50016 Medellín, Colombia)

  • Lisa Seiler

    (Chair of Landscape Architecture and Design, Institute of Landscape Architecture, Leibniz University Hannover, 30167 Hannover, Germany)

  • Julián Castañeda

    (Geological Society of Colombia, Antioquia Chapter, 50016 Medellín, Colombia)

  • David Cerón-Hernandez

    (Geological Society of Colombia, Antioquia Chapter, 50016 Medellín, Colombia)

  • Kurosch Thuro

    (Chair of Engineering Geology, Technical University of Munich, 80333 Munich, Germany)

Abstract

Fatalities from landslides are rising worldwide, especially in cities in mountainous regions, which often expand into the steep slopes surrounding them. For residents, often those living in poor neighborhoods and informal settlements, integrated landslide early warning systems (LEWS) can be a viable solution, if they are affordable and easily replicable. We developed a LEWS in Medellín, Colombia, which can be applied in such semi-urban situations. All the components of the LEWS, from hazard and risk assessment, to the monitoring system and the reaction capacity, were developed with and supported by all local stakeholders, including local authorities, agencies, NGO’s, and especially the local community, in order to build trust. It was well integrated into the social structure of the neighborhood, while still delivering precise and dense deformation and trigger measurements. A prototype was built and installed in a neighborhood in Medellín in 2022, comprising a dense network of line and point measurements and gateways. The first data from the measurement system are now available and allow us to define initial thresholds, while more data are being collected to allow for automatic early warning in the future. All the newly developed knowledge, from sensor hardware and software to installation manuals, has been compiled on a wiki-page, to facilitate replication by people in other parts of the world. According to our experience of the installation, we give recommendations for the implementation of LEWSs in similar areas, which can hopefully stimulate a lively exchange between researchers and other stakeholders who want to use, modify, and replicate our system.

Suggested Citation

  • Moritz Gamperl & John Singer & Carolina Garcia-Londoño & Lisa Seiler & Julián Castañeda & David Cerón-Hernandez & Kurosch Thuro, 2023. "Recommendations for Landslide Early Warning Systems in Informal Settlements Based on a Case Study in Medellín, Colombia," Land, MDPI, vol. 12(7), pages 1-22, July.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1451-:d:1198668
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    References listed on IDEAS

    as
    1. Daniele Giordan & Aleksandra Wrzesniak & Paolo Allasia, 2019. "The Importance of a Dedicated Monitoring Solution and Communication Strategy for an Effective Management of Complex Active Landslides in Urbanized Areas," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    2. P. Santi & K. Hewitt & D. VanDine & E. Barillas Cruz, 2011. "Debris-flow impact, vulnerability, and response," 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. 56(1), pages 371-402, January.
    3. 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.
    4. Ching-Jiang Jeng & Yo-Yo Yo & Kai-Lan Zhong, 2017. "Interpretation of slope displacement obtained from inclinometers and simulation of calibration tests," 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. 87(2), pages 623-657, June.
    5. Tamara Breuninger & Bettina Menschik & Agnes Demharter & Moritz Gamperl & Kurosch Thuro, 2021. "Investigation of Critical Geotechnical, Petrological and Mineralogical Parameters for Landslides in Deeply Weathered Dunite Rock (Medellín, Colombia)," IJERPH, MDPI, vol. 18(21), pages 1-26, October.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Hua Xia & Zili Qin & Yuanxin Tong & Yintian Li & Rui Zhang & Hongxia Luo, 2025. "Application of Semi-Supervised Clustering with Membership Information and Deep Learning in Landslide Susceptibility Assessment," Land, MDPI, vol. 14(7), pages 1-27, July.
    2. Emal Ahmad Hussainzad & Zhonghua Gou, 2024. "Climate Risk and Vulnerability Assessment in Informal Settlements of the Global South: A Critical Review," Land, MDPI, vol. 13(9), pages 1-63, August.

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