Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils

Detalhes bibliográficos
Autor(a) principal: Armindo,Robson André
Data de Publicação: 2019
Outros Autores: van Lier,Quirijn de Jong, Turek,Maria Eliza, Reis,Aline Mari Huf dos, Melo,Marina Luciana Abreu de, Ramos,Maria Elisa Palma, Ono,Gabriela Massame
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Ciência do Solo (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100407
Resumo: ABSTRACT The soil water retention curve (SWRC) is essential for vadose zone hydrological modeling and related applications. In 2004, Groenevelt and Grant (GRT) presented a mathematical model for describing the SWRC and reported its mathematical versatility and good fit to soils from a Dutch database. In order to evaluate the application of GRT to SWRCs of Brazilian soils, we aimed to analyze the performance of GRT for 72 soils from Brazil. Besides that, the obtained results with GRT for these soils were compared to the fitting performance of the most frequently used models: Brooks and Corey (BC) and van Genuchten-Mualem (VGM). The three models were fitted to available soil water retention data by minimizing the sum of square errors. The Pearson correlation coefficient (r) and the Root Mean Square Error (RMSE) were used to assess the goodness-of-fit. Results showed high correlation coefficients (r≥0.95) and small values of RMSE (RMSE ≤0.03 cm3 cm-3) for all fits. The goodness-of-fit was of similar performance for the three models with a positively correlation between them. The major difference in shape among GRT, BC, and VGM occurred in the near saturated range, while they were almost identical for low matric potentials. The exponent of GRT showed to be highly correlated with exponents of BC and VGM, but the correlation between the other shape parameters is not well defined, making a direct conversion still difficult.
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spelling Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soilstropical soilshydraulic propertiesmathematical modelsABSTRACT The soil water retention curve (SWRC) is essential for vadose zone hydrological modeling and related applications. In 2004, Groenevelt and Grant (GRT) presented a mathematical model for describing the SWRC and reported its mathematical versatility and good fit to soils from a Dutch database. In order to evaluate the application of GRT to SWRCs of Brazilian soils, we aimed to analyze the performance of GRT for 72 soils from Brazil. Besides that, the obtained results with GRT for these soils were compared to the fitting performance of the most frequently used models: Brooks and Corey (BC) and van Genuchten-Mualem (VGM). The three models were fitted to available soil water retention data by minimizing the sum of square errors. The Pearson correlation coefficient (r) and the Root Mean Square Error (RMSE) were used to assess the goodness-of-fit. Results showed high correlation coefficients (r≥0.95) and small values of RMSE (RMSE ≤0.03 cm3 cm-3) for all fits. The goodness-of-fit was of similar performance for the three models with a positively correlation between them. The major difference in shape among GRT, BC, and VGM occurred in the near saturated range, while they were almost identical for low matric potentials. The exponent of GRT showed to be highly correlated with exponents of BC and VGM, but the correlation between the other shape parameters is not well defined, making a direct conversion still difficult.Sociedade Brasileira de Ciência do Solo2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100407Revista Brasileira de Ciência do Solo v.43 2019reponame:Revista Brasileira de Ciência do Solo (Online)instname:Sociedade Brasileira de Ciência do Solo (SBCS)instacron:SBCS10.1590/18069657rbcs20180217info:eu-repo/semantics/openAccessArmindo,Robson Andrévan Lier,Quirijn de JongTurek,Maria ElizaReis,Aline Mari Huf dosMelo,Marina Luciana Abreu deRamos,Maria Elisa PalmaOno,Gabriela Massameeng2019-08-13T00:00:00Zoai:scielo:S0100-06832019000100407Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0100-0683&lng=es&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||sbcs@ufv.br1806-96570100-0683opendoar:2019-08-13T00:00Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)false
dc.title.none.fl_str_mv Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils
title Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils
spellingShingle Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils
Armindo,Robson André
tropical soils
hydraulic properties
mathematical models
title_short Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils
title_full Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils
title_fullStr Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils
title_full_unstemmed Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils
title_sort Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils
author Armindo,Robson André
author_facet Armindo,Robson André
van Lier,Quirijn de Jong
Turek,Maria Eliza
Reis,Aline Mari Huf dos
Melo,Marina Luciana Abreu de
Ramos,Maria Elisa Palma
Ono,Gabriela Massame
author_role author
author2 van Lier,Quirijn de Jong
Turek,Maria Eliza
Reis,Aline Mari Huf dos
Melo,Marina Luciana Abreu de
Ramos,Maria Elisa Palma
Ono,Gabriela Massame
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Armindo,Robson André
van Lier,Quirijn de Jong
Turek,Maria Eliza
Reis,Aline Mari Huf dos
Melo,Marina Luciana Abreu de
Ramos,Maria Elisa Palma
Ono,Gabriela Massame
dc.subject.por.fl_str_mv tropical soils
hydraulic properties
mathematical models
topic tropical soils
hydraulic properties
mathematical models
description ABSTRACT The soil water retention curve (SWRC) is essential for vadose zone hydrological modeling and related applications. In 2004, Groenevelt and Grant (GRT) presented a mathematical model for describing the SWRC and reported its mathematical versatility and good fit to soils from a Dutch database. In order to evaluate the application of GRT to SWRCs of Brazilian soils, we aimed to analyze the performance of GRT for 72 soils from Brazil. Besides that, the obtained results with GRT for these soils were compared to the fitting performance of the most frequently used models: Brooks and Corey (BC) and van Genuchten-Mualem (VGM). The three models were fitted to available soil water retention data by minimizing the sum of square errors. The Pearson correlation coefficient (r) and the Root Mean Square Error (RMSE) were used to assess the goodness-of-fit. Results showed high correlation coefficients (r≥0.95) and small values of RMSE (RMSE ≤0.03 cm3 cm-3) for all fits. The goodness-of-fit was of similar performance for the three models with a positively correlation between them. The major difference in shape among GRT, BC, and VGM occurred in the near saturated range, while they were almost identical for low matric potentials. The exponent of GRT showed to be highly correlated with exponents of BC and VGM, but the correlation between the other shape parameters is not well defined, making a direct conversion still difficult.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/18069657rbcs20180217
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publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
dc.source.none.fl_str_mv Revista Brasileira de Ciência do Solo v.43 2019
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