Models for moisture estimation in different horizons of yellow argisol using TDR

Detalhes bibliográficos
Autor(a) principal: Almeida, Karla Silva Santos Alvares de
Data de Publicação: 2017
Outros Autores: Souza, Luciano da Silva, Paz, Vital Pedro da Silva, Coelho Filho, Maurício Antônio, Hoces, Eduardo Holzapfel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26390
Resumo: The determination of soil moisture is very important because it is the property with the most influence on the dielectric constant of the medium. Time-domain reflectometry (TDR) is an indirect technique used to estimate the water content of the soil (?) based on its dielectric constant (Ka). Like any other technique, it has advantages and disadvantages. Among the major disadvantages is the need for calibration, which requires consideration of the soil characteristics. This study aimed to perform the calibration of a TDR100 device to estimate the volumetric water content of four horizons of a Yellow Argisol. Calibration was performed under laboratory conditions using disturbed soil samples contained in PVC columns. The three rods of the handcrafted probes were vertically installed in the soil columns. Weight measurements with digital scales and daily readings of the dielectric constant with the TDR device were taken. For all soil horizons evaluated, the best fits between the dielectric constant and the volumetric water content were related to the cubic polynomial model. The Ledieu model overestimated by approximately 68 % the volumetric water content in the A and AB horizons, and underestimating by 69 % in Bt2, in relation to volumetric water content obtained by gravimetry. The underestimation by linear, Topp, Roth, and Malicki models ranged from 50 % to 85 % for all horizons.
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spelling Models for moisture estimation in different horizons of yellow argisol using TDRModelos para estimativa da umidade em diferentes horizontes de argissolo amarelo com uso da TDRApparent dielectric constantSoil water contentTDR calibration.Constante dielétrica aparenteConteúdo de água no soloCalibração de TDR.The determination of soil moisture is very important because it is the property with the most influence on the dielectric constant of the medium. Time-domain reflectometry (TDR) is an indirect technique used to estimate the water content of the soil (?) based on its dielectric constant (Ka). Like any other technique, it has advantages and disadvantages. Among the major disadvantages is the need for calibration, which requires consideration of the soil characteristics. This study aimed to perform the calibration of a TDR100 device to estimate the volumetric water content of four horizons of a Yellow Argisol. Calibration was performed under laboratory conditions using disturbed soil samples contained in PVC columns. The three rods of the handcrafted probes were vertically installed in the soil columns. Weight measurements with digital scales and daily readings of the dielectric constant with the TDR device were taken. For all soil horizons evaluated, the best fits between the dielectric constant and the volumetric water content were related to the cubic polynomial model. The Ledieu model overestimated by approximately 68 % the volumetric water content in the A and AB horizons, and underestimating by 69 % in Bt2, in relation to volumetric water content obtained by gravimetry. The underestimation by linear, Topp, Roth, and Malicki models ranged from 50 % to 85 % for all horizons.A reflectometria no domínio do tempo (Time Domain Reflectometry, TDR) é uma técnica indireta usada para estimar o conteúdo de água do solo (?) em função da constante dielétrica (Ka). As vantagens do uso desta técnica são, no entanto, requer calibração específica para cada tipo de solo. Neste estudo objetivou-se realizar a calibração de modelos para estimar a umidade volumétrica de quatro horizontes de um Argissolo Amarelo com uso da TDR. A calibração foi realizada em condições de laboratório utilizando amostras deformadas do solo em estudo, acondicionadas em colunas de PVC. As sondas fabricadas artesanalmente com três hastes foram instaladas verticalmente nas colunas de solo. Foram realizadas pesagens com balança de precisão e leituras diárias da constante dielétrica com o equipamento TDR. Os modelos polinomial cúbico e linear foram os que apresentaram melhor ajuste aos dados de umidade observados. Os modelos de Topp et al. (1980), Ledieu et al. (1986), Malicki et al. (1996) e Roth et al. (1990) superestimaram em aproximadamente 15% as médias de umidade nos horizontes A e AB e subestimam em aproximadamente 18% no Bt2. No horizonte Bt1 todos os modelos foram semelhantes entre si.UEL2017-08-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa de campoapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/2639010.5433/1679-0359.2017v38n4p1727Semina: Ciências Agrárias; Vol. 38 No. 4 (2017); 1727-1736Semina: Ciências Agrárias; v. 38 n. 4 (2017); 1727-17361679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26390/21435Copyright (c) 2017 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessAlmeida, Karla Silva Santos Alvares deSouza, Luciano da SilvaPaz, Vital Pedro da SilvaCoelho Filho, Maurício AntônioHoces, Eduardo Holzapfel2022-10-24T12:10:23Zoai:ojs.pkp.sfu.ca:article/26390Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-24T12:10:23Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Models for moisture estimation in different horizons of yellow argisol using TDR
Modelos para estimativa da umidade em diferentes horizontes de argissolo amarelo com uso da TDR
title Models for moisture estimation in different horizons of yellow argisol using TDR
spellingShingle Models for moisture estimation in different horizons of yellow argisol using TDR
Almeida, Karla Silva Santos Alvares de
Apparent dielectric constant
Soil water content
TDR calibration.
Constante dielétrica aparente
Conteúdo de água no solo
Calibração de TDR.
title_short Models for moisture estimation in different horizons of yellow argisol using TDR
title_full Models for moisture estimation in different horizons of yellow argisol using TDR
title_fullStr Models for moisture estimation in different horizons of yellow argisol using TDR
title_full_unstemmed Models for moisture estimation in different horizons of yellow argisol using TDR
title_sort Models for moisture estimation in different horizons of yellow argisol using TDR
author Almeida, Karla Silva Santos Alvares de
author_facet Almeida, Karla Silva Santos Alvares de
Souza, Luciano da Silva
Paz, Vital Pedro da Silva
Coelho Filho, Maurício Antônio
Hoces, Eduardo Holzapfel
author_role author
author2 Souza, Luciano da Silva
Paz, Vital Pedro da Silva
Coelho Filho, Maurício Antônio
Hoces, Eduardo Holzapfel
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Almeida, Karla Silva Santos Alvares de
Souza, Luciano da Silva
Paz, Vital Pedro da Silva
Coelho Filho, Maurício Antônio
Hoces, Eduardo Holzapfel
dc.subject.por.fl_str_mv Apparent dielectric constant
Soil water content
TDR calibration.
Constante dielétrica aparente
Conteúdo de água no solo
Calibração de TDR.
topic Apparent dielectric constant
Soil water content
TDR calibration.
Constante dielétrica aparente
Conteúdo de água no solo
Calibração de TDR.
description The determination of soil moisture is very important because it is the property with the most influence on the dielectric constant of the medium. Time-domain reflectometry (TDR) is an indirect technique used to estimate the water content of the soil (?) based on its dielectric constant (Ka). Like any other technique, it has advantages and disadvantages. Among the major disadvantages is the need for calibration, which requires consideration of the soil characteristics. This study aimed to perform the calibration of a TDR100 device to estimate the volumetric water content of four horizons of a Yellow Argisol. Calibration was performed under laboratory conditions using disturbed soil samples contained in PVC columns. The three rods of the handcrafted probes were vertically installed in the soil columns. Weight measurements with digital scales and daily readings of the dielectric constant with the TDR device were taken. For all soil horizons evaluated, the best fits between the dielectric constant and the volumetric water content were related to the cubic polynomial model. The Ledieu model overestimated by approximately 68 % the volumetric water content in the A and AB horizons, and underestimating by 69 % in Bt2, in relation to volumetric water content obtained by gravimetry. The underestimation by linear, Topp, Roth, and Malicki models ranged from 50 % to 85 % for all horizons.
publishDate 2017
dc.date.none.fl_str_mv 2017-08-04
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa de campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26390
10.5433/1679-0359.2017v38n4p1727
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26390
identifier_str_mv 10.5433/1679-0359.2017v38n4p1727
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26390/21435
dc.rights.driver.fl_str_mv Copyright (c) 2017 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Semina: Ciências Agrárias
http://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 UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 38 No. 4 (2017); 1727-1736
Semina: Ciências Agrárias; v. 38 n. 4 (2017); 1727-1736
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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