Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils
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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Sociedade Brasileira de Ciência do Solo
2019
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oai:scielo:S0100-068320190001004072019-08-13Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian SoilsArmindo,Robson Andrévan Lier,Quirijn de JongTurek,Maria ElizaReis,Aline Mari Huf dosMelo,Marina Luciana Abreu deRamos,Maria Elisa PalmaOno,Gabriela Massame tropical soils hydraulic properties mathematical models 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.info:eu-repo/semantics/openAccessSociedade Brasileira de Ciência do SoloRevista Brasileira de Ciência do Solo v.43 20192019-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100407en10.1590/18069657rbcs20180217 |
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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 |
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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 Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils |
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 |
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Armindo,Robson André |
title |
Performance of the Groenevelt and Grant Model for Fitting Soil Water Retention Data from Brazilian Soils |
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 |
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. |
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Sociedade Brasileira de Ciência do Solo |
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2019 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100407 |
work_keys_str_mv |
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