Parameterization of soil properties for a model of topographic controls on shallow landsliding: application to Rio de Janeiro

Guimarães, Renato Fontes; Montgomery, David R.; Greenberg, Harvey; Fernandes, Nelson Ferreira; Gomes, Roberto Arnaldo Trancoso; Júnior, Osmar Abı́lio de Carvalho

doi:10.1016/s0013-7952(02)00263-6

Cited by 89 publications

(87 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Representation of soil properties is a key problem in the use of physically based slope stability models for landslide hazard assessments, particularly for shallow failures such as debris avalanches and debris slides, as well as deepseated slumps in soil (Guimaraes et al 2003). Regolith depth, often referred to by geomorphologists and engineers as soil depth, is defined as the depth from the surface to more-or-less consolidated material.…”

Section: Predisposing Factorsmentioning

confidence: 99%

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

709

666

View full text Add to dashboard Cite

This paper presents recommended methodologies for the quantitative analysis of landslide hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and national), as well as for the verification and validation of the results. The methodologies described focus on the evaluation of the probabilities of occurrence of different landslide types with certain characteristics. Methods used to determine the spatial distribution of landslide intensity, the characterisation of the elements at risk, the assessment of the potential degree of damage and the quantification of the vulnerability of the elements at risk, and those used to perform the quantitative risk analysis are also described. The paper is intended for use by scientists and practising engineers, geologists and other landslide experts.

show abstract

Section: Predisposing Factorsmentioning

confidence: 99%

Recommendations for the quantitative analysis of landslide risk

Corominas

Westen

Frattini

et al. 2013

Bull Eng Geol Environ

709

666

View full text Add to dashboard Cite

show abstract

“…Due to the fact that the "hollows" are sometimes made by deposits of materials from their surroundings (nose and ridge), when accumulated it can generate discontinuities between the original material developed in situ and the deposited material, thus favoring heterogeneity in permeability. These differences of permeability may favor the generation of zones of saturation and induce shallow landslides (Small, 1970;Pierson, 1980: Wilson andDietrich, 1987;Guimarães et al, 2003;Bogaart and Troch, 2006). Soils or "alteration mantles" are responses to the conditions imposed by weathering agents (physical-chemical) in the rock.…”

Section: Methodsmentioning

confidence: 99%

“…This pattern does not necessarily occur in the municipalities studied, because if some area is urbanized, it is not possible to identify scars at the present time, since it is assumed that such phenomena may occur in the future. Several studies use mathematical models to predict the unstable areas (e.g., SHALSTAB, TRIGRS, SinMAP, and others) from a high-resolution digital elevation model (DEM), and considering, for validation, landslide-scar maps (Dietrich and Montgomery, 1998;Guimarães et al, 2003;Vieira, 2007;Listo and Vieira, 2012). Although the methods used involve high-resolution information, geotechnical parameters and models based on the physical phenomena of landslides, the accuracy rate found in these studies is similar to the ones found in the present study, as shown below.…”

Section: Rating From Related Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of São Paulo, Brazil

Camarinha

Canavesi

Alvalá

2014

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. This study presents a methodology for susceptibility mapping of shallow landslides just from data and software from the public domain. The study was conducted in a mountainous region located on the southeastern Brazilian coast, in the state of São Paulo. The proposal is that the methodology can be replicated in a practical and reliable way in several other municipalities that do not have such mappings and that often suffer from landslide-related disasters. The susceptibility mapping was generated based on the following maps: geological, soils, slope, horizontal and vertical curvatures, and land use. The thematic classes of these maps were weighted according to technical and scientific criteria related to the triggering of landslides, and were crossed by the fuzzy gamma technique. The mapping was compared with the risk sector survey made by the Brazilian Geological Survey (CPRM), which is the official database used by municipalities and civil defense in risk management. The results showed positive correlations, so that the critical risk sectors had higher proportions for the more susceptible classes. To compare the approach with other studies using landslide-scar maps, correlated indices were evaluated, which also showed satisfactory results, thus indicating that the methodology presented is appropriate for risk assessment in urban areas.

show abstract

“…Moreover, the statistical models generally ignore the temporal aspects of landslides, and are not able to predict the impact of changes in landslide controlling conditions [64]. The physically based approach, on the other hand, analyzes the mechanical condition of slopes and evaluates their stability using mathematical calculations [5,[65][66][67][68][69][70][71][72][73][74][75][76]. This approach couples distributed hydrological and stability models that can evaluate dynamically the risk of rainfall-induced landslide.…”

Section: Introductionmentioning

confidence: 99%

Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method

2017

View full text Add to dashboard Cite

Abstract:The physically based model has been widely used in rainfall-induced shallow landslide susceptibility analysis because of its capacity to reproduce the physical processes governing landslide occurrence and a higher predictive capability. However, one of the difficulties in applying the physically based model is that uncertainties arising from spatial variability, measurement errors, and incomplete information apply to the input parameters and analysis procedure. Uncertainties have been recognized as an important cause of mismatch between predicted and observed distributions of landslide occurrence. Therefore, probabilistic analysis has been used to quantify the uncertainties. However, some uncertainties, because of incomplete information, cannot be managed satisfactorily using a probabilistic approach. Fuzzy set theory is applicable in this case. In this study, in order to handle uncertainty propagation through a physical model, fuzzy set theory, coupled with the vertex method and the point estimate method, was adopted for regional landslide susceptibility assessment. The proposed approach was used to evaluate susceptibility to rainfall-induced shallow landslides for a regional study area, and the analysis results were compared with landslide inventory to evaluate the performance of the proposed approach. The AUC values arising from the landslide susceptibility analyses using the proposed approach and probabilistic analysis were 0.734 and 0.736, respectively. However, when the COV values of the input parameters were reduced, the AUC values of the proposed approach and the probabilistic analysis were reduced to 0.722 and 0.688, respectively. It means that the performance of the fuzzy approach is similar to that of probabilistic analysis but is more robust against variation of input parameters. Thus, at catchment scale, the fuzzy approach can respond appropriately to the uncertainties inherent in physically based landslide susceptibility analysis, and is especially advantageous when the amount of quality data is very limited.

show abstract

Parameterization of soil properties for a model of topographic controls on shallow landsliding: application to Rio de Janeiro

Cited by 89 publications

References 14 publications

Recommendations for the quantitative analysis of landslide risk

Recommendations for the quantitative analysis of landslide risk

Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of São Paulo, Brazil

Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method

Contact Info

Product

Resources

About