Erosion susceptibility model applied to the management of railways. Case study: Tietê - Sorocaba hydrographic basin train network
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
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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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 |
|
_version_ |
1803649516345229312 |