Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train network

Detalhes bibliográficos
Autor(a) principal: Souza, Natália Costa
Data de Publicação: 2020
Outros Autores: Lollo, José Augusto [UNESP], Almeida Filho, Gerson Salviano
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/221463
Resumo: The occurrence of accelerated erosive events associated to the implantation of transport systems is one of the main socioenvironmental problems encountered by brazilian concessionaires. Studies related to the analyzes of development dynamics of erosive processes are inserted in theoretical and methodological consecrated environmental approaches in the areas of Geosciences. In several areas of knowledge and in the most varied approaches able of supporting processes of analysis, monitoring and control of environmental risks, statistical techniques of multivariate data analysis associated with the use of geographic information systems have been widely used tools. This research proposes the combination of the use of geotechnologies and Multivariate Data Analysis to analyze the levels of susceptibility to erosion in the terrain corresponding to the surroundings of the Malha Paulista railway. The results provided the reading of the selected soil environmental characteristics for the composition of the indicator and the analysis of the quantification of the areas classified into levels of susceptibility. Obtaining information that validated the final result of the indicator was a differential of the research. Based on the total erosive processes analyzed and on the defined susceptibility classes, it is possible to state that the final mapping presented a precision of 91.36%.
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spelling Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train networkmodelo de suscetibilidade à erosão aplicado ao gerenciamento de linhas férreas. Estudo de caso: Malha Paulista - sp (Bacia Do Tietê - Sorocaba)ErosionGeographic information systems (GIS)GeotechnologiesHierarchical process analysisRailwaysThe occurrence of accelerated erosive events associated to the implantation of transport systems is one of the main socioenvironmental problems encountered by brazilian concessionaires. Studies related to the analyzes of development dynamics of erosive processes are inserted in theoretical and methodological consecrated environmental approaches in the areas of Geosciences. In several areas of knowledge and in the most varied approaches able of supporting processes of analysis, monitoring and control of environmental risks, statistical techniques of multivariate data analysis associated with the use of geographic information systems have been widely used tools. This research proposes the combination of the use of geotechnologies and Multivariate Data Analysis to analyze the levels of susceptibility to erosion in the terrain corresponding to the surroundings of the Malha Paulista railway. The results provided the reading of the selected soil environmental characteristics for the composition of the indicator and the analysis of the quantification of the areas classified into levels of susceptibility. Obtaining information that validated the final result of the indicator was a differential of the research. Based on the total erosive processes analyzed and on the defined susceptibility classes, it is possible to state that the final mapping presented a precision of 91.36%.Universidade Federal de São Carlos Centro de Ciências Exatas e de Tecnologia Departamento de Engenharia Civil, Rodovia Washington Luis, km 235, Área Norte. Jardim GuanabaraUniversidade Estadual Paulista Faculdade de Engenharia de Ilha Solteira, Av. Brasil Sul, 56 - CentroInstituto de Pesquisas Tecnológicas Laboratório de Riscos Ambientais, Av. Professor Almeida Prado, n° 532Universidade Estadual Paulista Faculdade de Engenharia de Ilha Solteira, Av. Brasil Sul, 56 - CentroUniversidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Laboratório de Riscos AmbientaisSouza, Natália CostaLollo, José Augusto [UNESP]Almeida Filho, Gerson Salviano2022-04-28T19:28:35Z2022-04-28T19:28:35Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article549-566Geociencias, v. 38, n. 2, p. 549-566, 2020.1980-900X0101-9082http://hdl.handle.net/11449/2214632-s2.0-85083714624Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporGeocienciasinfo:eu-repo/semantics/openAccess2022-04-28T19:28:35Zoai:repositorio.unesp.br:11449/221463Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:28:35Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train network
modelo de suscetibilidade à erosão aplicado ao gerenciamento de linhas férreas. Estudo de caso: Malha Paulista - sp (Bacia Do Tietê - Sorocaba)
title Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train network
spellingShingle Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train network
Souza, Natália Costa
Erosion
Geographic information systems (GIS)
Geotechnologies
Hierarchical process analysis
Railways
title_short Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train network
title_full Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train network
title_fullStr Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train network
title_full_unstemmed Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train network
title_sort Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train network
author Souza, Natália Costa
author_facet Souza, Natália Costa
Lollo, José Augusto [UNESP]
Almeida Filho, Gerson Salviano
author_role author
author2 Lollo, José Augusto [UNESP]
Almeida Filho, Gerson Salviano
author2_role author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (UNESP)
Laboratório de Riscos Ambientais
dc.contributor.author.fl_str_mv Souza, Natália Costa
Lollo, José Augusto [UNESP]
Almeida Filho, Gerson Salviano
dc.subject.por.fl_str_mv Erosion
Geographic information systems (GIS)
Geotechnologies
Hierarchical process analysis
Railways
topic Erosion
Geographic information systems (GIS)
Geotechnologies
Hierarchical process analysis
Railways
description The occurrence of accelerated erosive events associated to the implantation of transport systems is one of the main socioenvironmental problems encountered by brazilian concessionaires. Studies related to the analyzes of development dynamics of erosive processes are inserted in theoretical and methodological consecrated environmental approaches in the areas of Geosciences. In several areas of knowledge and in the most varied approaches able of supporting processes of analysis, monitoring and control of environmental risks, statistical techniques of multivariate data analysis associated with the use of geographic information systems have been widely used tools. This research proposes the combination of the use of geotechnologies and Multivariate Data Analysis to analyze the levels of susceptibility to erosion in the terrain corresponding to the surroundings of the Malha Paulista railway. The results provided the reading of the selected soil environmental characteristics for the composition of the indicator and the analysis of the quantification of the areas classified into levels of susceptibility. Obtaining information that validated the final result of the indicator was a differential of the research. Based on the total erosive processes analyzed and on the defined susceptibility classes, it is possible to state that the final mapping presented a precision of 91.36%.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
2022-04-28T19:28:35Z
2022-04-28T19:28:35Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Geociencias, v. 38, n. 2, p. 549-566, 2020.
1980-900X
0101-9082
http://hdl.handle.net/11449/221463
2-s2.0-85083714624
identifier_str_mv Geociencias, v. 38, n. 2, p. 549-566, 2020.
1980-900X
0101-9082
2-s2.0-85083714624
url http://hdl.handle.net/11449/221463
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Geociencias
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 549-566
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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