Topographic controls of landslides in Rio de Janeiro: field evidence and modeling

Fernandes, Nelson Ferreira; Guimarães, Renato Fontes; Gomes, Roberto Arnaldo Trancoso; Vieira, Bianca Carvalho; Montgomery, David R.; Greenberg, Harvey

doi:10.1016/s0341-8162(03)00115-2

Cited by 167 publications

(133 citation statements)

References 22 publications

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“…The results of the determination of the initial point of failure, where the shear band developed, agree with the findings of Fernandes et al (2006). According to Fernandes et al (2006), middle and lower slopes (18.6 0 to 55.5 0 ) are the most frequent to fall, followed by upper slopes of greater than 55.5 0 .…”

Section: General Synthesis Of Landslides Inventorysupporting

confidence: 85%

Landslide Inventory and Susceptibility Assessment for the Ntchenachena Area, Northern Malawi (East Africa)

Msilimba¹

2012

Approaches to Managing Disaster - Assessing Hazards, Emergencies and Disaster Impacts

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Section: General Synthesis Of Landslides Inventorysupporting

confidence: 85%

Landslide Inventory and Susceptibility Assessment for the Ntchenachena Area, Northern Malawi (East Africa)

Msilimba¹

2012

Approaches to Managing Disaster - Assessing Hazards, Emergencies and Disaster Impacts

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“…In the case of slope aspect, the value of frequency is higher for the areas facing the east, northwest, west, and southeast, and lower for flat and northeast. Previous studies (e.g., Fernandes et al 2004;Ayalew and Yamagishi 2005) have also suggested that the high landslide density at specific slope aspects was associated with local conditions, such as the prevailing direction of winds and storms, fault orientation, rock structure, and even coastal erosion. However, some authors working in different areas have not noticed a significant relationship between landslides and slope aspect (e.g., Ayalew and Yamagishi 2004).…”

Section: Application Of Frequency Ratio Modelmentioning

confidence: 93%

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

Jaafari

Najafi

Pourghasemi

et al. 2014

Int. J. Environ. Sci. Technol.

350

137

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This study presents a landslide susceptibility assessment for the Caspian forest using frequency ratio and index of entropy models within geographical information system. First, the landslide locations were identified in the study area from interpretation of aerial photographs and multiple field surveys. 72 cases (70 %) out of 103 detected landslides were randomly selected for modeling, and the remaining 31 (30 %) cases were used for the model validation. The landslide-conditioning factors, including slope degree, slope aspect, altitude, lithology, rainfall, distance to faults, distance to streams, plan curvature, topographic wetness index, stream power index, sediment transport index, normalized difference vegetation index (NDVI), forest plant community, crown density, and timber volume, were extracted from the spatial database. Using these factors, landslide susceptibility and weights of each factor were analyzed by frequency ratio and index of entropy models. Results showed that the high and very high susceptibility classes cover nearly 50 % of the study area. For verification, the receiver operating characteristic (ROC) curves were drawn and the areas under the curve (AUC) calculated. The verification results revealed that the index of entropy model (AUC = 75.59 %) is slightly better in prediction than frequency ratio model (AUC = 72.68 %). The interpretation of the susceptibility map indicated that NDVI, altitude, and rainfall play major roles in landslide occurrence and distribution in the study area. The landslide susceptibility maps produced from this study could assist planners and engineers for reorganizing and planning of future road construction and timber harvesting operations.

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“…The topography, according to some authors, is a reflection of their lithologic environment that varies according to the active climate regime (Small, 1970;Pierson, 1980;Wilson and Dietrich, 1987;Gao, 1993;Ritter et al, 1995;Fernandes et al, 2004;Vieira and Fernandes, 2004;Bigarella et al, 2007). Among the topographic parameters, the curvature, specifically the concave shape (hollows), has received important attention.…”

Section: Methodsmentioning

confidence: 99%

“…Several geomorphological studies have called attention to the role played by the concave portions of the relief (hollows) on the convergence of water streams, both surface and sub-surface, favoring the development of soil saturation conditions and ultimately the generation of shallow landslides (Tsukamoto et al, 1982;Reneau et al, 1984;Crozier and Vaughan, 1990;Dietrich and Dunne, 1993;Fernandes et al, 1994Fernandes et al, , 2004. Thus, convergents (horizontal curvature) and concave (vertical curvature) relief forms received the highest weights in for susceptibility analysis (Neuhäuser and Terhorst, 2007;Brenning, 2005;Talebi et al, 2008).…”

Section: Weighting Of Topography: Slope Horizontal and Vertical Curvmentioning

confidence: 99%

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.

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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.

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Topographic controls of landslides in Rio de Janeiro: field evidence and modeling

Cited by 167 publications

References 22 publications

Landslide Inventory and Susceptibility Assessment for the Ntchenachena Area, Northern Malawi (East Africa)

Landslide Inventory and Susceptibility Assessment for the Ntchenachena Area, Northern Malawi (East Africa)

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

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

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