Literature DB >> 27358998

Landslides susceptibility change over time according to terrain conditions in a mountain area of the tropic region.

M C Pineda, J Viloria, J A Martínez-Casasnovas.   

Abstract

Susceptibility to landslides in mountain areas results from the interaction of various factors related to relief formation and soil development. The assessment of landslide susceptibility has generally taken into account individual events, or it has been aimed at establishing relationships between landslide-inventory maps and maps of environmental factors, without considering that such relationships can change in space and time. In this work, temporal and space changes in landslides were analysed in six different combinations of date and geomorphological conditions, including two different geological units, in a mountainous area in the north-centre of Venezuela, in northern South America. Landslide inventories from different years were compared with a number of environmental factors by means of logistic regression analysis. The resulting equations predicted landslide susceptibility from a range of geomorphometric parameters and a vegetation index, with diverse accuracy, in the study area. The variation of the obtained models and their prediction accuracy between geological units and dates suggests that the complexity of the landslide processes and their explanatory factors changed over space and time in the studied area. This calls into question the use of a single model to evaluate landslide susceptibility over large regions.

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Year:  2016        PMID: 27358998     DOI: 10.1007/s10661-016-5240-4

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  GIS-based landslide susceptibility mapping using heuristic and bivariate statistical methods for Iva Valley and environs Southeast Nigeria.

Authors:  O H Ozioko; O Igwe
Journal:  Environ Monit Assess       Date:  2020-01-16       Impact factor: 2.513

2.  Assessment of Landslide Susceptibility Using Integrated Ensemble Fractal Dimension with Kernel Logistic Regression Model.

Authors:  Tingyu Zhang; Ling Han; Jichang Han; Xian Li; Heng Zhang; Hao Wang
Journal:  Entropy (Basel)       Date:  2019-02-24       Impact factor: 2.524

  2 in total

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