Modeling of water erosion in a sub-basin in Rio Grande do Sul using the rusle model
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia na Agricultura |
DOI: | 10.13083/reveng.v29i1.8930 |
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. |
id |
UFV-2_05f4b3d743fa136eae6e8c1965a96f42 |
---|---|
oai_identifier_str |
oai:ojs.periodicos.ufv.br:article/8930 |
network_acronym_str |
UFV-2 |
network_name_str |
Engenharia na Agricultura |
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 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 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 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 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 Silva, Thais Palumbo Nachtigall, Stefan Domingues Nunes, Maria Cândida Moitinho Lima, Cláudia Liane Rodrigues Knapp, Ana Paula 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 |
_version_ |
1822179074854879232 |
dc.identifier.doi.none.fl_str_mv |
10.13083/reveng.v29i1.8930 |