Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle model

Detalhes bibliográficos
Autor(a) principal: Silva, Thais Palumbo
Data de Publicação: 2020
Outros Autores: Nachtigall, Stefan Domingues, Nunes, Maria Cândida Moitinho, Lima, Cláudia Liane Rodrigues, Knapp, Ana Paula
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia na Agricultura
Texto Completo: https://periodicos.ufv.br/reveng/article/view/8930
Resumo: The intense use of farming land has caused many consequences to the environment, among them, water erosion. The scale study of river basins through modeling allows the identification and estimation of soil losses, aiming at the conservationist planning of the site. The objective of this work was to predict soil loss in the Micaela sub-basin, with an area of ??37 km2 located in the municipality of Pelotas, Rio Grande do Sul. For the prediction of soil loss, the Revised Universal Soil Loss Equation (RUSLE) was used. Erosivity was obtained from data from the literature and erodibility was estimated by means of the inherent soil attributes and the topographic factor calculated according to the accumulated flow and declivity in each pixel. For the cover factor, data from the literature were used, according to use recommendation and existing soil cover. The study area shows a strong erosivity, which ranged from 8,045 to 8,833 MJ mm ha-1 h-1 year-1. The Argissolos occupy 81.31% of the sub-basin and present high erodibility, varying from 0.0369 to 0.0422 Mg ha h ha-1 MJ-1 mm -1. The sites with the largest vegetation cover were those with the lowest soil losses. However, in more than 36% of the area, the soil losses are above the tolerable therehsold, indicating that they are more prone to degradation and, therefore, the systems of land use and adopted management should be reviewed.
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spelling Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle modelsoil losssusceptibility to erosiontopography factorThe intense use of farming land has caused many consequences to the environment, among them, water erosion. The scale study of river basins through modeling allows the identification and estimation of soil losses, aiming at the conservationist planning of the site. The objective of this work was to predict soil loss in the Micaela sub-basin, with an area of ??37 km2 located in the municipality of Pelotas, Rio Grande do Sul. For the prediction of soil loss, the Revised Universal Soil Loss Equation (RUSLE) was used. Erosivity was obtained from data from the literature and erodibility was estimated by means of the inherent soil attributes and the topographic factor calculated according to the accumulated flow and declivity in each pixel. For the cover factor, data from the literature were used, according to use recommendation and existing soil cover. The study area shows a strong erosivity, which ranged from 8,045 to 8,833 MJ mm ha-1 h-1 year-1. The Argissolos occupy 81.31% of the sub-basin and present high erodibility, varying from 0.0369 to 0.0422 Mg ha h ha-1 MJ-1 mm -1. The sites with the largest vegetation cover were those with the lowest soil losses. However, in more than 36% of the area, the soil losses are above the tolerable therehsold, indicating that they are more prone to degradation and, therefore, the systems of land use and adopted management should be reviewed.Universidade Federal de Viçosa - UFV2020-11-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/893010.13083/reveng.v29i1.8930Engineering in Agriculture; Vol. 28 No. Contínua (2020); 302-313Revista Engenharia na Agricultura - REVENG; v. 28 n. Contínua (2020); 302-3132175-68131414-3984reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/reveng/article/view/8930/6133Copyright (c) 2020 REVISTA ENGENHARIA NA AGRICULTURA - REVENGhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSilva, Thais PalumboNachtigall, Stefan DominguesNunes, Maria Cândida MoitinhoLima, Cláudia Liane RodriguesKnapp, Ana Paula2023-01-19T13:39:06Zoai:ojs.periodicos.ufv.br:article/8930Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T13:39:06Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle model
title Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle model
spellingShingle Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle model
Silva, Thais Palumbo
soil loss
susceptibility to erosion
topography factor
title_short Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle model
title_full Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle model
title_fullStr Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle model
title_full_unstemmed Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle model
title_sort Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle model
author Silva, Thais Palumbo
author_facet Silva, Thais Palumbo
Nachtigall, Stefan Domingues
Nunes, Maria Cândida Moitinho
Lima, Cláudia Liane Rodrigues
Knapp, Ana Paula
author_role author
author2 Nachtigall, Stefan Domingues
Nunes, Maria Cândida Moitinho
Lima, Cláudia Liane Rodrigues
Knapp, Ana Paula
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva, Thais Palumbo
Nachtigall, Stefan Domingues
Nunes, Maria Cândida Moitinho
Lima, Cláudia Liane Rodrigues
Knapp, Ana Paula
dc.subject.por.fl_str_mv soil loss
susceptibility to erosion
topography factor
topic soil loss
susceptibility to erosion
topography factor
description The intense use of farming land has caused many consequences to the environment, among them, water erosion. The scale study of river basins through modeling allows the identification and estimation of soil losses, aiming at the conservationist planning of the site. The objective of this work was to predict soil loss in the Micaela sub-basin, with an area of ??37 km2 located in the municipality of Pelotas, Rio Grande do Sul. For the prediction of soil loss, the Revised Universal Soil Loss Equation (RUSLE) was used. Erosivity was obtained from data from the literature and erodibility was estimated by means of the inherent soil attributes and the topographic factor calculated according to the accumulated flow and declivity in each pixel. For the cover factor, data from the literature were used, according to use recommendation and existing soil cover. The study area shows a strong erosivity, which ranged from 8,045 to 8,833 MJ mm ha-1 h-1 year-1. The Argissolos occupy 81.31% of the sub-basin and present high erodibility, varying from 0.0369 to 0.0422 Mg ha h ha-1 MJ-1 mm -1. The sites with the largest vegetation cover were those with the lowest soil losses. However, in more than 36% of the area, the soil losses are above the tolerable therehsold, indicating that they are more prone to degradation and, therefore, the systems of land use and adopted management should be reviewed.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/reveng/article/view/8930
10.13083/reveng.v29i1.8930
url https://periodicos.ufv.br/reveng/article/view/8930
identifier_str_mv 10.13083/reveng.v29i1.8930
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/reveng/article/view/8930/6133
dc.rights.driver.fl_str_mv Copyright (c) 2020 REVISTA ENGENHARIA NA AGRICULTURA - REVENG
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 REVISTA ENGENHARIA NA AGRICULTURA - REVENG
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv Engineering in Agriculture; Vol. 28 No. Contínua (2020); 302-313
Revista Engenharia na Agricultura - REVENG; v. 28 n. Contínua (2020); 302-313
2175-6813
1414-3984
reponame:Engenharia na Agricultura
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Engenharia na Agricultura
collection Engenharia na Agricultura
repository.name.fl_str_mv Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br
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