SciELO - Scientific Electronic Library Online

 
vol.37 número2Identifying explanatory variables of structural state for optimum asset management of urban drainage networks: a pilot study for the city of BogotaOptimal design for rectangular isolated footings using the real soil pressure índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Ingeniería e Investigación

versão impressa ISSN 0120-5609

Resumo

CORREA-MUNOZ, N. A.  e  HIGIDIO-CASTRO, J. F.. Determination of landslide susceptibility in linear infrastructure. Case: aqueduct network in Palacé, Popayan (Colombia). Ing. Investig. [online]. 2017, vol.37, n.2, pp.17-24. ISSN 0120-5609.  https://doi.org/10.15446/ing.investig.v37n2.59654.

This research aimed to predict the occurrence of mass movements in the aqueduct network of Palacé, in the municipality of Popayan (Colombia). We evaluated the quality of SRTM and ASTER digital terrain models by comparing them with contour lines using a map scale of 1: 25000. The landscape parameters derived from the SRTM-DEM were analyzed with a multivariate procedure using algorithms implemented in free software, along with thematic information of the study area (coverage, distance to faults, rivers and precipitation). We selected non-redundant variables with the non-parametric ACP technique, and obtained a susceptibility prediction model using logistic regression, with two types of variables: dependent (landslides inventory from field observation) and independent (slope, slope length factor, topographic wetness index, flow path length, soil units and rate of convergence) resulting in a susceptibility map, reclassified into categories according to the values of probability. The prediction model could not be quantitatively assessed because of the absence of studies with a semi-detailed scale, but the estimation of the mean square error of elevation, from which the terrain parameters were derived, the level of detail and the performance of the classifier with ROC curve, yielded a zoning consistent with the findings of the field visits.

Palavras-chave : Geomorphometry; mass removal processes; landscape parameters; logistic regression; accuracy.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )