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Improving landslide susceptibility predictive power through colluvium mapping in Tegucigalpa, Honduras

Author

Listed:
  • Ginés Suárez

    (Inter-American Development Bank)

  • María José Domínguez-Cuesta

    (University of Oviedo)

Abstract

Tegucigalpa, the capital city of Honduras, has the highest number of landslides recorded in the country. The city has data and information from four landslide inventories and five landslide susceptibility studies, with different methodologies and results. In this research, the four existing landslide inventories were compared, and a new inventory was developed. The importance of four data layers (lithology, slope, distance to streams, and colluvium map) in explaining landslide occurrence was analyzed using the weight-of-evidence method, including the colluvium map developed in this research. A new landslide susceptibility map based on the colluvium map was produced, and its accuracy estimated using the success rate curve method. The accuracy of the landslide susceptibility map based on the colluvium was 88.64%, compared with the 79.79% and 69.80% of previous studies. This study emphasizes the relevance of colluvium mapping as an input for landslide susceptibility analysis in Tegucigalpa.

Suggested Citation

  • Ginés Suárez & María José Domínguez-Cuesta, 2021. "Improving landslide susceptibility predictive power through colluvium mapping in Tegucigalpa, Honduras," 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. 105(1), pages 47-66, January.
    • Handle: RePEc:spr:nathaz:v:105:y:2021:i:1:d:10.1007_s11069-020-04294-0
    DOI: 10.1007/s11069-020-04294-0
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    References listed on IDEAS

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    1. Elias Garcia-Urquia, 2016. "Establishing rainfall frequency contour lines as thresholds for rainfall-induced landslides in Tegucigalpa, Honduras, 1980–2005," 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. 82(3), pages 2107-2132, July.
    2. C. van Westen & N. Rengers & R. Soeters, 2003. "Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment," 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. 30(3), pages 399-419, November.
    3. Chang-Jo Chung & Andrea Fabbri, 2003. "Validation of Spatial Prediction Models for Landslide Hazard 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. 30(3), pages 451-472, November.
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