Shallow landslide susceptibility assessment using SINMAP in Nova Friburgo (Rio de Janeiro, Brazil)

Cardozo, Claudia Paola; Lopes, Eymar Silva Sampaio; Monteiro, Antônio Miguel Vieira

doi:10.14393/rbcv70n4-46139

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…They Several studies have used the advanced model Sinmap in different study areas. Reference [57] used the Sinmap to study the municipality of Nova Friburgo-RJ, Brazil, located in the mountainous area of Serra do Mar. It is a steep slope area with a declivity ranging from 15˚ to more than 35˚ degrees.…”

Section: Sinmap Modelmentioning

confidence: 99%

Advanced Models Applied for the Elaboration of Landslide-Prone Maps, a Review

König¹,

Kux²,

Corsi³

2022

IJG

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Landslides are a natural phenomenon that happens all around the world. When happening in urban areas they become a disaster, disrupting the lifestyle of a community or society. Human losses, social impacts, and structural damage are some of the landslide's effects. The current climate variability shows an increase in extreme weather conditions, either with long periods of drought or heavy and long-term rainfall. In Brazil, landslides are one of the deadliest disasters; they are usually preceded and triggered by heavy rainfall and already have affected more than 4 million people. Moreover, with the population growth, areas with high declivities have been occupied and turned into urban areas. Those people living there are vulnerable to suffering from landslides, losing their homes, and in extreme cases, losing their life. The identification and monitoring of landslide-prone areas are crucial to avoid disasters. Several advanced models, with different approaches, were developed to identify the landslide-prone areas. Aiming to decide the model that provides more satisfactory results, this paper presents a literature review of the applicability and limitations of three advanced models. The three models are Sinmap, Shalstab and TRIGRS. The analysis determined that all three models are adequate for stability management in slope areas. Moreover, TRIGRS results are more accurate than Shalstab, and the Sinmap model provides an over-estimation of landslide-prone areas.

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Section: Sinmap Modelmentioning

confidence: 99%

Advanced Models Applied for the Elaboration of Landslide-Prone Maps, a Review

König¹,

Kux²,

Corsi³

2022

IJG

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“…A deep study about loss of life due to the 2011 landslides at the Nova Friburgo municipality revealed that cause of death for all the victims was mechanical asphyxia by burial. A total number of landslide-related deaths was 434 (205 women and 228 men) (Cardozo et al, 2017;2018). This represents more than 47% of fatalities in the Mega-disaster occurred at the mountainous region of Rio de Janeiro.…”

Section: Social Vulnerability and The 2011 Landslide-related Fatalitiesmentioning

confidence: 99%

Assessing social vulnerability to natural hazards in Nova Friburgo, Rio de Janeiro Mountain Region, Brazil

Cardozo

Monteiro

2019

REDER

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Brasil enfrenta un escenario complejo de peligros naturales, como resultado directo de su tamaño, diversidad y heterogeneidad tanto social como natural. En 2011, se produjeron deslizamientos masivos provocados por lluvias extremas que causaron el denominado “Megadesastre” en la región montañosa de Rio de Janeiro. Este trabajo describe el desarrollo de un Índice de Vulnerabilidad Social a nivel de distrito censal, utilizando el método SoVI. También examina el valor potencial del índice para explicar el impacto de los deslizamientos de 2011 en la población de Nova Friburgo. El Análisis de Componentes Principales (ACP) revela que seis factores explican el 73.6% de la varianza de los datos. El análisis de patrones espaciales sugiere que aproximadamente el 84% del área es clasificada con nivel moderado de vulnerabilidad social. Los valores más altos se registran donde la densidad de población es alta y además se desarrollan las principales actividades económicas. El conocimiento resultante proporciona a la comunidad local, al gobierno y a las organizaciones civiles una base para comprender la geografía y los impulsores de la vulnerabilidad social, que pueden aprovecharse para lograr una preparación y respuesta efectivas para enfrentar futuros peligros naturales y también para promover sociedades resilientes a los desastres.

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“…Today, this model is used for landslide zoning of the catchments by GIS. Practically this model examines the stability of each pixel separately (Pack et al, 2001;Michel et al, 2014;Cardozo et al, 2018;Sabzevari and Talebi, 2021).…”

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confidence: 99%

Shallow Landslide Modeling in Complex Hillslope by Using TOPMODEL and SINMAP Models

Bahmani

Fattahi

Sabzevari

et al. 2021

Preprint

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Every year many watershed hillslopes are displaced by landslides resulting from deforestation or rainfall-induced saturation. This destruction can lead to extensive loss of life and property damage if it occurs in the vicinity of roads or buildings. The intensity of landslides depends on the degree of saturation influenced by infiltration, hillslope geometry, and soil characteristics. This research's main purpose is to investigate the effect of two features of geometry, the plan shape (convergence and divergence) and profile curvature (convexity and concavity) on the stability of complex hillslopes. TOPMODEL is a hydrological subsurface flow model that can predict the magnitude of saturation and soil moisture deficit at any watershed point. In this research, TOPMODEL equations were developed so that the geometry of hillslopes could be considered. The saturation index in TOPMODEL was linked to SINMAP slope stability model to estimate the stability of different points of the complex hillslope. It was concluded that convex hillslopes are more stable than concave ones. Moreover, divergent hillslopes showed less sensitivity to land sliding compared to convergent ones. All in all the minimum stability was corresponding to the divergent convex hillslope. Finally, the effect of some other geometric parameters (e.g. slope angle, profile curvature parameter, and plan shape) on the stability of hillslopes was examined.

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Shallow landslide susceptibility assessment using SINMAP in Nova Friburgo (Rio de Janeiro, Brazil)

Cited by 6 publications

References 14 publications

Advanced Models Applied for the Elaboration of Landslide-Prone Maps, a Review

Advanced Models Applied for the Elaboration of Landslide-Prone Maps, a Review

Assessing social vulnerability to natural hazards in Nova Friburgo, Rio de Janeiro Mountain Region, Brazil

Shallow Landslide Modeling in Complex Hillslope by Using TOPMODEL and SINMAP Models

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