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

Pineda, M. C.; Viloria, J.; Martínez Casasnovas, José Antonio

doi:https://doi.org/10.1007/s10661-016-5240-4

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Issue date

2016-04

Author

Pineda, M. C.

Viloria, J.

Martínez Casasnovas, José Antonio

Suggested citation

Pineda, M. C.; Viloria, J.; Martínez Casasnovas, José Antonio; . (2016) . Landslides susceptibility change over time according to terrain conditions in a mountain area of the tropic region. Environmental Monitoring and Assessment, 2016, vol. 188, num. 255, p. 1-12. https://doi.org/10.1007/s10661-016-5240-4.

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 northcentre 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.

URI

http://hdl.handle.net/10459.1/59499

DOI

https://doi.org/10.1007/s10661-016-5240-4

Is part of

Environmental Monitoring and Assessment, 2016, vol. 188, num. 255, p. 1-12