Revista UIS Ingenierías

Vol. 23 No. 4 (2024): Revista UIS Ingenierías
Articles

Prediction of areas susceptible to landslide processes by applying the mathematical model artificial neural network in the locality of Guatapuri and Chemesquemena, Colombia

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  • Javier Estrada-Romero ,
  • Fabio Carrillo ,
  • Dino Carmelo Manco-Jaraba ,
  • Janer Cantillo
Javier Estrada-Romero
Fundación Universitaria del Área Andina
Fabio Carrillo
Fundación Universitaria del Área Andina
Dino Carmelo Manco-Jaraba
Universidad de La Guajira
Janer Cantillo
Esri Colombia
DOI: https://doi.org/10.18273/revuin.v23n4-2024006

Published 2024-11-24

Keywords

  • Artificial neural networks,
  • Chemesquemena,
  • Guatapurí,
  • Mass removal processes,
  • Prediction,
  • Susceptibility
    • ...More
    Less

How to Cite

Estrada-Romero , J. ., Carrillo , F. ., Manco-Jaraba , D. C., & Cantillo, J. . . . . . . . . . . . . (2024). Prediction of areas susceptible to landslide processes by applying the mathematical model artificial neural network in the locality of Guatapuri and Chemesquemena, Colombia. Revista UIS Ingenierías, 23(4), 69–84. https://doi.org/10.18273/revuin.v23n4-2024006

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Abstract

The objective of this research is to predict areas susceptible to landslide processes by applying an artificial neural network mathematical model in the locality of Guatapurí and Chemesquemena. Areas susceptible to mass landslide phenomena were delimited based on the identification of conditioning factors ((1) Surface Geological Units, (2) Terrain Slope, (3) Vegetation Cover, (4) Terrain Roughness Index, (5) Geomorphology and (6) Watershed) and mapping and processing of satellite images (Landsat) by applying mathematical models of artificial neural networks type. The susceptibility assessment highlighted an uneven distribution in Guatapurí and Chemesquemena. The "very high" susceptibility zones (43% of the area) were characterized by steep slopes, distinct flow patterns and moderate to very high relief. In contrast, the zones classified as "very low" susceptibility (34% of the area) have gentle to almost flat slopes, with slow runoff and materials less prone to landslides.

 

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