Different approaches to estimate the sediment yield in a tropical watershed

Detalhes bibliográficos
Autor(a) principal: Colman,Carina Barbosa
Data de Publicação: 2018
Outros Autores: Garcia,Karina Mendes Pinheiro, Pereira,Rodrigo Bahia, Shinma,Enio Arriero, Lima,Fernanda Ely, Gomes,Ariel Ortiz, Oliveira,Paulo Tarso Sanches
Tipo de documento: Artigo
Idioma: eng
Título da fonte: RBRH (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100243
Resumo: ABSTRACT Several Sediment Delivery Ratio (SDR) models have been used to estimate Sediment Yield (SY), mainly in data-scarce and ungauged basins, such as in many regions of Brazil. However, it is difficult to choose the most suitable SDR model, mainly because of the lack of investigations of this approach using observed data. Here, we investigated the performance of five widely used SDR models (SDREST) to estimate sediment yield values (SYEST ) based on observed data in a tropical watershed. We used observed sediment yield values (SY OBS) during September 2011 to July 2017 in three sub-basins of the Guariroba Basin, Midwestern Brazil. To estimate the average annual soil loss, we used the Revised Universal Soil Loss Equation. The SDROBS and SYOBS ranged from 5.56 to 10.54% and 940.76 to 5,400.32 t yr-1, respectively. The Williams and Berndt (1972) method presented the best performance, with a percent bias ranging from -2.34 to 3.30% in SRD estimation. Therefore, this model provided suitable SDR and SY estimates, and may be useful to estimate SY in other tropical data-scarce and ungauged basins.
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spelling Different approaches to estimate the sediment yield in a tropical watershedRUSLESediment transportSediment yieldSoil erosionABSTRACT Several Sediment Delivery Ratio (SDR) models have been used to estimate Sediment Yield (SY), mainly in data-scarce and ungauged basins, such as in many regions of Brazil. However, it is difficult to choose the most suitable SDR model, mainly because of the lack of investigations of this approach using observed data. Here, we investigated the performance of five widely used SDR models (SDREST) to estimate sediment yield values (SYEST ) based on observed data in a tropical watershed. We used observed sediment yield values (SY OBS) during September 2011 to July 2017 in three sub-basins of the Guariroba Basin, Midwestern Brazil. To estimate the average annual soil loss, we used the Revised Universal Soil Loss Equation. The SDROBS and SYOBS ranged from 5.56 to 10.54% and 940.76 to 5,400.32 t yr-1, respectively. The Williams and Berndt (1972) method presented the best performance, with a percent bias ranging from -2.34 to 3.30% in SRD estimation. Therefore, this model provided suitable SDR and SY estimates, and may be useful to estimate SY in other tropical data-scarce and ungauged basins.Associação Brasileira de Recursos Hídricos2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100243RBRH v.23 2018reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.231820170178info:eu-repo/semantics/openAccessColman,Carina BarbosaGarcia,Karina Mendes PinheiroPereira,Rodrigo BahiaShinma,Enio ArrieroLima,Fernanda ElyGomes,Ariel OrtizOliveira,Paulo Tarso Sancheseng2018-10-09T00:00:00Zoai:scielo:S2318-03312018000100243Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2018-10-09T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false
dc.title.none.fl_str_mv Different approaches to estimate the sediment yield in a tropical watershed
title Different approaches to estimate the sediment yield in a tropical watershed
spellingShingle Different approaches to estimate the sediment yield in a tropical watershed
Colman,Carina Barbosa
RUSLE
Sediment transport
Sediment yield
Soil erosion
title_short Different approaches to estimate the sediment yield in a tropical watershed
title_full Different approaches to estimate the sediment yield in a tropical watershed
title_fullStr Different approaches to estimate the sediment yield in a tropical watershed
title_full_unstemmed Different approaches to estimate the sediment yield in a tropical watershed
title_sort Different approaches to estimate the sediment yield in a tropical watershed
author Colman,Carina Barbosa
author_facet Colman,Carina Barbosa
Garcia,Karina Mendes Pinheiro
Pereira,Rodrigo Bahia
Shinma,Enio Arriero
Lima,Fernanda Ely
Gomes,Ariel Ortiz
Oliveira,Paulo Tarso Sanches
author_role author
author2 Garcia,Karina Mendes Pinheiro
Pereira,Rodrigo Bahia
Shinma,Enio Arriero
Lima,Fernanda Ely
Gomes,Ariel Ortiz
Oliveira,Paulo Tarso Sanches
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Colman,Carina Barbosa
Garcia,Karina Mendes Pinheiro
Pereira,Rodrigo Bahia
Shinma,Enio Arriero
Lima,Fernanda Ely
Gomes,Ariel Ortiz
Oliveira,Paulo Tarso Sanches
dc.subject.por.fl_str_mv RUSLE
Sediment transport
Sediment yield
Soil erosion
topic RUSLE
Sediment transport
Sediment yield
Soil erosion
description ABSTRACT Several Sediment Delivery Ratio (SDR) models have been used to estimate Sediment Yield (SY), mainly in data-scarce and ungauged basins, such as in many regions of Brazil. However, it is difficult to choose the most suitable SDR model, mainly because of the lack of investigations of this approach using observed data. Here, we investigated the performance of five widely used SDR models (SDREST) to estimate sediment yield values (SYEST ) based on observed data in a tropical watershed. We used observed sediment yield values (SY OBS) during September 2011 to July 2017 in three sub-basins of the Guariroba Basin, Midwestern Brazil. To estimate the average annual soil loss, we used the Revised Universal Soil Loss Equation. The SDROBS and SYOBS ranged from 5.56 to 10.54% and 940.76 to 5,400.32 t yr-1, respectively. The Williams and Berndt (1972) method presented the best performance, with a percent bias ranging from -2.34 to 3.30% in SRD estimation. Therefore, this model provided suitable SDR and SY estimates, and may be useful to estimate SY in other tropical data-scarce and ungauged basins.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2318-0331.231820170178
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
dc.source.none.fl_str_mv RBRH v.23 2018
reponame:RBRH (Online)
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