Landslide Susceptibility Mapping of Highway Slopes, Using Stability Analyses and GIS Methods

Ayla Margie De Leão Craig,Oswaldo Augusto Filho

doi:10.28927/sr.431071

Abstract

Landslide Susceptibility Mapping of Highway Slopes, Using Stability Analyses and GIS Methods

Highlights

During the execution of linear works a diversity of geological-geotechnical materials can be exposed, such as rock units and associated soils, as well as surface and underground water dynamics, which in turn, respond in different manners to the demands imposed by the system
The most recent studies dealing with landslide susceptibility mapping have used the combination of deterministic stability analysis models, such as the infinite slope method, with hydrological models in a Geographic Information System (GIS) environment
Stability simulations using the infinite slope method performed on the semi-detail scale (1: 10,000) allowed the identification of limitations not previously described associated with the physical-mathematical model of this method

Summary

Introduction

During the execution of linear works a diversity of geological-geotechnical materials can be exposed, such as rock units and associated soils, as well as surface and underground water dynamics, which in turn, respond in different manners to the demands imposed by the system. In the case of highways, there are problems associated with the stability of the slopes and embankments. Several studies have addressed this theme given its social, economic and environmental importance in highway management. Data from the Brazilian National Department of Transport Infrastructure shows that, only in 2011, about R$ 150 million were invested on the recovery of federal highways affected by landslides and erosion processes (DNIT, 2014). The most recent studies dealing with landslide susceptibility mapping have used the combination of deterministic stability analysis models, such as the infinite slope method, with hydrological models in a Geographic Information System (GIS) environment. Stand out the models SHALSTAB - Shallow Slope Stability Model (Montgomery & Dietrich, 1994); dSLAM Distributed Slope Stability Model (Wu & Sidle, 1995; Dhakal & Sidle, 2003); SINMAP -Stability Index Mapping (Pack et al, 1998; Pack et al, 2005) and TRIGRS -Transient Rainfall Infiltration and Grid-Based Regional SlopeStability Model (Savage et al, 2004; Baum et al, 2002; Baum et al, 2008)

Objectives

Methods

Results

Conclusion