More adequate probability distributions to represent the saturated soil hydraulic conductivity
Autor(a) principal: | |
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Data de Publicação: | 2002 |
Outros Autores: | , |
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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Scientia Agrícola (Online) |
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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 |
_version_ |
1748936458748559360 |