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Landslide susceptibility mapping using the infinite slope, SHALSTAB, SINMAP, and TRIGRS models in Serra do Mar, Brazil

Landslide susceptibility mapping using the infinite slope, SHALSTAB, SINMAP, and TRIGRS models in... Slope failure triggered by heavy rainfall is very common in tropical and subtropical regions and a cause of major social and economic damage. Landslide susceptibility maps can be generated using geographical information systems (GIS) and limit equilibrium slope stability models coupled or not to hydrological equations. This study investigated the efficacy of four models used for slope stability analysis in predicting landslide-susceptible areas in a GIS environment. The selected models are the infinite slope, the shallow slope stability model (SHALSTAB), the stability index mapping (SINMAP), and the transient rainfall infiltration and grid-based regional slope-stability (TRIGRS). For comparisons, the authors (a) included the infinite slope equation in all models, (b) clearly defined input parameters and failure triggering mechanisms for each simulation (soil depth, water table height, rainfall intensity), (c) determined appropriate values for each model to obtain stability levels that represented similar hydrogeotechnical conditions, and (d) considered upper-third areas of landslide scars to estimate the reliability of susceptibility maps using validation indices. An intense rainfall event occurred in Serra do Mar, Brazil in January 2014 triggered hundreds of landslides and was used for back analysis and evaluation of the slope stability analysis models.When rainfall intensity is not considered, the four models produced very similar results. The most reliable landslide susceptibility map was generated using TRIGRS and considering the granite residual granite soils geological-geotechnical unit, subjected to a rainfall intensity of 210 mm for 2 h under unsaturated conditions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Mountain Science Springer Journals

Landslide susceptibility mapping using the infinite slope, SHALSTAB, SINMAP, and TRIGRS models in Serra do Mar, Brazil

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References (61)

Publisher
Springer Journals
Copyright
Copyright © Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2022
ISSN
1672-6316
eISSN
1993-0321
DOI
10.1007/s11629-021-7057-z
Publisher site
See Article on Publisher Site

Abstract

Slope failure triggered by heavy rainfall is very common in tropical and subtropical regions and a cause of major social and economic damage. Landslide susceptibility maps can be generated using geographical information systems (GIS) and limit equilibrium slope stability models coupled or not to hydrological equations. This study investigated the efficacy of four models used for slope stability analysis in predicting landslide-susceptible areas in a GIS environment. The selected models are the infinite slope, the shallow slope stability model (SHALSTAB), the stability index mapping (SINMAP), and the transient rainfall infiltration and grid-based regional slope-stability (TRIGRS). For comparisons, the authors (a) included the infinite slope equation in all models, (b) clearly defined input parameters and failure triggering mechanisms for each simulation (soil depth, water table height, rainfall intensity), (c) determined appropriate values for each model to obtain stability levels that represented similar hydrogeotechnical conditions, and (d) considered upper-third areas of landslide scars to estimate the reliability of susceptibility maps using validation indices. An intense rainfall event occurred in Serra do Mar, Brazil in January 2014 triggered hundreds of landslides and was used for back analysis and evaluation of the slope stability analysis models.When rainfall intensity is not considered, the four models produced very similar results. The most reliable landslide susceptibility map was generated using TRIGRS and considering the granite residual granite soils geological-geotechnical unit, subjected to a rainfall intensity of 210 mm for 2 h under unsaturated conditions.

Journal

Journal of Mountain Science – Springer Journals

Published: Apr 1, 2022

Keywords: Geographical information system; Safety factor; Heavy rainfall; Geomechanical parameters; Residual soils of phyllite and granite; Serra do Mar

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