Metrological assessment of TDR performance for measurement of potassium concentration in soil solution

Detalhes bibliográficos
Autor(a) principal: Ponciano,Isaac de M.
Data de Publicação: 2016
Outros Autores: Miranda,Jarbas H. de, Cooke,Richard A., Grah,Vanessa de F., Silva,Alisson J. P. da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000400343
Resumo: ABSTRACT Despite the growing use of the time domain reflectometry (TDR) technique to monitoring ions in the soil solution, there are few studies that provide insight into measurement error. To overcome this lack of information, a methodology, based on the central limit theorem error, was used to quantify the uncertainty associated with using the technique to estimate potassium ion concentration in two soil types. Mathematical models based on electrical conductivity and soil moisture derived from TDR readings were used to estimate potassium concentration, and the results were compared to potassium concentration determined by flame spectrophotometry. It was possible to correct for random and systematic errors associated with TDR readings, significantly increasing the accuracy of the potassium estimation methodology. However, a single TDR reading can lead to an error of up to ± 18.84 mg L-1 K+ in soil solution (0 to 3 dS m-1), with a 95.42% degree of confidence, for a loamy sand soil; and an error of up to ± 12.50 mg L-1 of K+ (0 to 2.5 dS m-1) in soil solution, with a 95.06% degree of confidence, for a sandy clay soil.
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spelling Metrological assessment of TDR performance for measurement of potassium concentration in soil solutioncentral limit theoreminstrumentationelectrical conductivityABSTRACT Despite the growing use of the time domain reflectometry (TDR) technique to monitoring ions in the soil solution, there are few studies that provide insight into measurement error. To overcome this lack of information, a methodology, based on the central limit theorem error, was used to quantify the uncertainty associated with using the technique to estimate potassium ion concentration in two soil types. Mathematical models based on electrical conductivity and soil moisture derived from TDR readings were used to estimate potassium concentration, and the results were compared to potassium concentration determined by flame spectrophotometry. It was possible to correct for random and systematic errors associated with TDR readings, significantly increasing the accuracy of the potassium estimation methodology. However, a single TDR reading can lead to an error of up to ± 18.84 mg L-1 K+ in soil solution (0 to 3 dS m-1), with a 95.42% degree of confidence, for a loamy sand soil; and an error of up to ± 12.50 mg L-1 of K+ (0 to 2.5 dS m-1) in soil solution, with a 95.06% degree of confidence, for a sandy clay soil.Departamento de Engenharia Agrícola - UFCG2016-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000400343Revista Brasileira de Engenharia Agrícola e Ambiental v.20 n.4 2016reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v20n4p343-349info:eu-repo/semantics/openAccessPonciano,Isaac de M.Miranda,Jarbas H. deCooke,Richard A.Grah,Vanessa de F.Silva,Alisson J. P. daeng2016-03-18T00:00:00Zoai:scielo:S1415-43662016000400343Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2016-03-18T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Metrological assessment of TDR performance for measurement of potassium concentration in soil solution
title Metrological assessment of TDR performance for measurement of potassium concentration in soil solution
spellingShingle Metrological assessment of TDR performance for measurement of potassium concentration in soil solution
Ponciano,Isaac de M.
central limit theorem
instrumentation
electrical conductivity
title_short Metrological assessment of TDR performance for measurement of potassium concentration in soil solution
title_full Metrological assessment of TDR performance for measurement of potassium concentration in soil solution
title_fullStr Metrological assessment of TDR performance for measurement of potassium concentration in soil solution
title_full_unstemmed Metrological assessment of TDR performance for measurement of potassium concentration in soil solution
title_sort Metrological assessment of TDR performance for measurement of potassium concentration in soil solution
author Ponciano,Isaac de M.
author_facet Ponciano,Isaac de M.
Miranda,Jarbas H. de
Cooke,Richard A.
Grah,Vanessa de F.
Silva,Alisson J. P. da
author_role author
author2 Miranda,Jarbas H. de
Cooke,Richard A.
Grah,Vanessa de F.
Silva,Alisson J. P. da
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Ponciano,Isaac de M.
Miranda,Jarbas H. de
Cooke,Richard A.
Grah,Vanessa de F.
Silva,Alisson J. P. da
dc.subject.por.fl_str_mv central limit theorem
instrumentation
electrical conductivity
topic central limit theorem
instrumentation
electrical conductivity
description ABSTRACT Despite the growing use of the time domain reflectometry (TDR) technique to monitoring ions in the soil solution, there are few studies that provide insight into measurement error. To overcome this lack of information, a methodology, based on the central limit theorem error, was used to quantify the uncertainty associated with using the technique to estimate potassium ion concentration in two soil types. Mathematical models based on electrical conductivity and soil moisture derived from TDR readings were used to estimate potassium concentration, and the results were compared to potassium concentration determined by flame spectrophotometry. It was possible to correct for random and systematic errors associated with TDR readings, significantly increasing the accuracy of the potassium estimation methodology. However, a single TDR reading can lead to an error of up to ± 18.84 mg L-1 K+ in soil solution (0 to 3 dS m-1), with a 95.42% degree of confidence, for a loamy sand soil; and an error of up to ± 12.50 mg L-1 of K+ (0 to 2.5 dS m-1) in soil solution, with a 95.06% degree of confidence, for a sandy clay soil.
publishDate 2016
dc.date.none.fl_str_mv 2016-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000400343
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v20n4p343-349
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.20 n.4 2016
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
instname:Universidade Federal de Campina Grande (UFCG)
instacron:UFCG
instname_str Universidade Federal de Campina Grande (UFCG)
instacron_str UFCG
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
collection Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
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