Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil

Various methods are currently used in order to predict shallow landslides within the catchment scale. Among them, physically based models present advantages associated with the physical description of processes by means of mathematical equations. The main objective of this research is the prediction...

Full description

Bibliographic Details
Main Authors: B. C. Vieira, N. F. Fernandes, O. A. Filho
Format: Article
Language:English
Published: Copernicus Publications 2010-09-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/10/1829/2010/nhess-10-1829-2010.pdf
id doaj-c6c6e2b0d17640f79d93799b4208fc21
record_format Article
spelling doaj-c6c6e2b0d17640f79d93799b4208fc212020-11-24T23:52:39ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812010-09-011091829183710.5194/nhess-10-1829-2010Shallow landslide prediction in the Serra do Mar, São Paulo, BrazilB. C. VieiraN. F. FernandesO. A. FilhoVarious methods are currently used in order to predict shallow landslides within the catchment scale. Among them, physically based models present advantages associated with the physical description of processes by means of mathematical equations. The main objective of this research is the prediction of shallow landslides using TRIGRS model, in a pilot catchment located at Serra do Mar mountain range, São Paulo State, southeastern Brazil. Susceptibility scenarios have been simulated taking into account different mechanical and hydrological values. These scenarios were analysed based on a landslide scars map from the January 1985 event, upon which two indexes were applied: Scars Concentration (SC – ratio between the number of cells with scars, in each class, and the total number of cells with scars within the catchment) and Landslide Potential (LP – ratio between the number of cells with scars, in each class, and the total number of cells in that same class). The results showed a significant agreement between the simulated scenarios and the scar's map. In unstable areas (SF≤1), the SC values exceeded 50% in all scenarios. Based on the results, the use of this model should be considered an important tool for shallow landslide prediction, especially in areas where mechanical and hydrological properties of the materials are not well known. http://www.nat-hazards-earth-syst-sci.net/10/1829/2010/nhess-10-1829-2010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author B. C. Vieira
N. F. Fernandes
O. A. Filho
spellingShingle B. C. Vieira
N. F. Fernandes
O. A. Filho
Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil
Natural Hazards and Earth System Sciences
author_facet B. C. Vieira
N. F. Fernandes
O. A. Filho
author_sort B. C. Vieira
title Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil
title_short Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil
title_full Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil
title_fullStr Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil
title_full_unstemmed Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil
title_sort shallow landslide prediction in the serra do mar, são paulo, brazil
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2010-09-01
description Various methods are currently used in order to predict shallow landslides within the catchment scale. Among them, physically based models present advantages associated with the physical description of processes by means of mathematical equations. The main objective of this research is the prediction of shallow landslides using TRIGRS model, in a pilot catchment located at Serra do Mar mountain range, São Paulo State, southeastern Brazil. Susceptibility scenarios have been simulated taking into account different mechanical and hydrological values. These scenarios were analysed based on a landslide scars map from the January 1985 event, upon which two indexes were applied: Scars Concentration (SC – ratio between the number of cells with scars, in each class, and the total number of cells with scars within the catchment) and Landslide Potential (LP – ratio between the number of cells with scars, in each class, and the total number of cells in that same class). The results showed a significant agreement between the simulated scenarios and the scar's map. In unstable areas (SF≤1), the SC values exceeded 50% in all scenarios. Based on the results, the use of this model should be considered an important tool for shallow landslide prediction, especially in areas where mechanical and hydrological properties of the materials are not well known.
url http://www.nat-hazards-earth-syst-sci.net/10/1829/2010/nhess-10-1829-2010.pdf
work_keys_str_mv AT bcvieira shallowlandslidepredictionintheserradomarsaopaulobrazil
AT nffernandes shallowlandslidepredictionintheserradomarsaopaulobrazil
AT oafilho shallowlandslidepredictionintheserradomarsaopaulobrazil
_version_ 1725472697830342656