More adequate probability distributions to represent the saturated soil hydraulic conductivity

Detalhes bibliográficos
Autor(a) principal: Mesquita,Maria da Glória Bastos de Freitas
Data de Publicação: 2002
Outros Autores: Moraes,Sérgio Oliveira, Corrente,José Eduardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162002000400025
Resumo: The saturated soil hydraulic conductivity (Ksat) is one of the most relevant variables in studies of water and solute movement in the soil. Its determination in the laboratory and in the field yields high dispersion results, which could be an indication that this variable has a no symmetrical distribution. Adjustment of the normal, lognormal, gamma and beta distributions were examined in order to search for a probability were density function that would more adequately describe the distribution of this variable. The experiment consisted in determining the saturated hydraulic conductivity, through the constant head permeameter method, in undisturbed samples of three soils of different textures from the central western region of the São Paulo State, Brazil, and submitting the results to the statistical tests for identification of the most adequate asymmetrical distribution to represent them. Ksat presented high variability, non normal distribution and lognormal, gamma and beta distributions fit. The lognormal probability density function was the most indicated to describe the variable, due to the verified greater agreement.
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spelling More adequate probability distributions to represent the saturated soil hydraulic conductivitywater movementvariabilityprobability functionsThe saturated soil hydraulic conductivity (Ksat) is one of the most relevant variables in studies of water and solute movement in the soil. Its determination in the laboratory and in the field yields high dispersion results, which could be an indication that this variable has a no symmetrical distribution. Adjustment of the normal, lognormal, gamma and beta distributions were examined in order to search for a probability were density function that would more adequately describe the distribution of this variable. The experiment consisted in determining the saturated hydraulic conductivity, through the constant head permeameter method, in undisturbed samples of three soils of different textures from the central western region of the São Paulo State, Brazil, and submitting the results to the statistical tests for identification of the most adequate asymmetrical distribution to represent them. Ksat presented high variability, non normal distribution and lognormal, gamma and beta distributions fit. The lognormal probability density function was the most indicated to describe the variable, due to the verified greater agreement.Escola Superior de Agricultura "Luiz de Queiroz"2002-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162002000400025Scientia Agricola v.59 n.4 2002reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162002000400025info:eu-repo/semantics/openAccessMesquita,Maria da Glória Bastos de FreitasMoraes,Sérgio OliveiraCorrente,José Eduardoeng2002-10-16T00:00:00Zoai:scielo:S0103-90162002000400025Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2002-10-16T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv More adequate probability distributions to represent the saturated soil hydraulic conductivity
title More adequate probability distributions to represent the saturated soil hydraulic conductivity
spellingShingle More adequate probability distributions to represent the saturated soil hydraulic conductivity
Mesquita,Maria da Glória Bastos de Freitas
water movement
variability
probability functions
title_short More adequate probability distributions to represent the saturated soil hydraulic conductivity
title_full More adequate probability distributions to represent the saturated soil hydraulic conductivity
title_fullStr More adequate probability distributions to represent the saturated soil hydraulic conductivity
title_full_unstemmed More adequate probability distributions to represent the saturated soil hydraulic conductivity
title_sort More adequate probability distributions to represent the saturated soil hydraulic conductivity
author Mesquita,Maria da Glória Bastos de Freitas
author_facet Mesquita,Maria da Glória Bastos de Freitas
Moraes,Sérgio Oliveira
Corrente,José Eduardo
author_role author
author2 Moraes,Sérgio Oliveira
Corrente,José Eduardo
author2_role author
author
dc.contributor.author.fl_str_mv Mesquita,Maria da Glória Bastos de Freitas
Moraes,Sérgio Oliveira
Corrente,José Eduardo
dc.subject.por.fl_str_mv water movement
variability
probability functions
topic water movement
variability
probability functions
description The saturated soil hydraulic conductivity (Ksat) is one of the most relevant variables in studies of water and solute movement in the soil. Its determination in the laboratory and in the field yields high dispersion results, which could be an indication that this variable has a no symmetrical distribution. Adjustment of the normal, lognormal, gamma and beta distributions were examined in order to search for a probability were density function that would more adequately describe the distribution of this variable. The experiment consisted in determining the saturated hydraulic conductivity, through the constant head permeameter method, in undisturbed samples of three soils of different textures from the central western region of the São Paulo State, Brazil, and submitting the results to the statistical tests for identification of the most adequate asymmetrical distribution to represent them. Ksat presented high variability, non normal distribution and lognormal, gamma and beta distributions fit. The lognormal probability density function was the most indicated to describe the variable, due to the verified greater agreement.
publishDate 2002
dc.date.none.fl_str_mv 2002-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162002000400025
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162002000400025
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162002000400025
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.59 n.4 2002
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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