@InCollection{SilvaSaCoRoMeMoFr:2014:BaRiBe,
author = "Silva, Luiz Tadeu da and Sampaio, E. P. F. F. M. and Corte-Real,
J. A. M. and Rodriguez, Daniel Andres and Medeiros, F. C. and
Moraes, B. E. and Fran{\c{c}}a, D. G. M.",
title = "Susceptibility and Vulnerability to Landslides—Case Study: Basin
of River Bengalas—City of Nova Friburgo—Brazil",
booktitle = "Engineering Geology for Society and Territory - Volume 1: Climate
Change and Engineering Geology",
year = "2014",
editor = "Lollino, G. and Manconi, A. and Clague, J. and Shan, W. and
Chiarle, M.",
pages = "539--546",
keywords = "index, susceptibility, vulnerability, landslides.",
abstract = "Landslides have frequently occurred in last years, due to the
disorderly growth of the cities and the occupation of risk areas
by the poor population, causing social, environmental and economic
impacts. Urban areas in expansion move to geologically unstable
areas and topographically inclined, such as the River Bengalas
Basin, located in the city of Nova Friburgo, mountainous region of
the State of Rio de Janeiro, Brazil. This article aims to present
the model developed and used to evaluate the susceptibility and
vulnerability of the River Bengalas Basin to landslides, which in
January 2011, with the occurrence of heavy rains, caused
landslides that impacted in the death of 429 people in city of
Nova Friburgo. For the case study, several investigations have
been made related to the areas of the basin, such as slope, soil
conditions, lithology, land use and cover, vertical curvature
(Very Convex, Convex, Flat, Concave, Very Concave), horizontal
curvature (Very Divergent, Divergent, Flat, Convergent, Very
Convergent), and precipitation data. With this study it was
possible to understand how the natural and anthropics elements of
the basin are related to the local dynamics of the disasters
regarding to their interferences in the induction of landslides;
evaluate the effectiveness of the guidelines of the Plano Diretor
Participativo of the city of Nova Friburgo regarding the
landslides; identify the susceptible and vulnerable areas to
landslides and assess the rates of susceptibility and
vulnerability to landslides from new calculation model proposed.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and {}
and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
language = "en",
targetfile = "Silva_Susceptibility.pdf",
urlaccessdate = "27 abr. 2024"
}