SciELO - Scientific Electronic Library Online

 
vol.37 issue2Identifying 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 author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Ingeniería e Investigación

Print version ISSN 0120-5609

Abstract

CORREA-MUNOZ, N. A.  and  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.  http://dx.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.

Keywords : Geomorphometry; mass removal processes; landscape parameters; logistic regression; accuracy.

        · abstract in Spanish     · text in English     · English ( pdf )