Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region
Knowledge of the soil water retention curve (SWRC) is essential for understanding and modeling hydraulic processes in the soil. However, direct determination of the SWRC is time consuming and costly. In addition, it requires a large number of samples, due to the high spatial and temporal variability...
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Sociedade Brasileira de Ciência do Solo
2014-06-01
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Series: | Revista Brasileira de Ciência do Solo |
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000300005&tlng=en |
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author | João Carlos Medeiros Miguel Cooper Jaqueline Dalla Rosa Michel Grimaldi Yves Coquet |
author_facet | João Carlos Medeiros Miguel Cooper Jaqueline Dalla Rosa Michel Grimaldi Yves Coquet |
author_sort | João Carlos Medeiros |
collection | DOAJ |
description | Knowledge of the soil water retention curve (SWRC) is essential for understanding and modeling hydraulic processes in the soil. However, direct determination of the SWRC is time consuming and costly. In addition, it requires a large number of samples, due to the high spatial and temporal variability of soil hydraulic properties. An alternative is the use of models, called pedotransfer functions (PTFs), which estimate the SWRC from easy-to-measure properties. The aim of this paper was to test the accuracy of 16 point or parametric PTFs reported in the literature on different soils from the south and southeast of the State of Pará, Brazil. The PTFs tested were proposed by Pidgeon (1972), Lal (1979), Aina & Periaswamy (1985), Arruda et al. (1987), Dijkerman (1988), Vereecken et al. (1989), Batjes (1996), van den Berg et al. (1997), Tomasella et al. (2000), Hodnett & Tomasella (2002), Oliveira et al. (2002), and Barros (2010). We used a database that includes soil texture (sand, silt, and clay), bulk density, soil organic carbon, soil pH, cation exchange capacity, and the SWRC. Most of the PTFs tested did not show good performance in estimating the SWRC. The parametric PTFs, however, performed better than the point PTFs in assessing the SWRC in the tested region. Among the parametric PTFs, those proposed by Tomasella et al. (2000) achieved the best accuracy in estimating the empirical parameters of the van Genuchten (1980) model, especially when tested in the top soil layer. |
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id | doaj.art-74ebf8a1f20f48dca9ccc2a8ef72b036 |
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issn | 1806-9657 |
language | English |
last_indexed | 2024-12-18T04:08:29Z |
publishDate | 2014-06-01 |
publisher | Sociedade Brasileira de Ciência do Solo |
record_format | Article |
series | Revista Brasileira de Ciência do Solo |
spelling | doaj.art-74ebf8a1f20f48dca9ccc2a8ef72b0362022-12-21T21:21:31ZengSociedade Brasileira de Ciência do SoloRevista Brasileira de Ciência do Solo1806-96572014-06-01383730743Assessment of pedotransfer functions for estimating soil water retention curves for the amazon regionJoão Carlos Medeiros0Miguel Cooper1Jaqueline Dalla Rosa2Michel Grimaldi3Yves Coquet4Federal University of PiauíUniversity of São PauloFederal University of PiauíInstitut de Recherche pour le DéveloppementINRA/AgroParisTech EGCKnowledge of the soil water retention curve (SWRC) is essential for understanding and modeling hydraulic processes in the soil. However, direct determination of the SWRC is time consuming and costly. In addition, it requires a large number of samples, due to the high spatial and temporal variability of soil hydraulic properties. An alternative is the use of models, called pedotransfer functions (PTFs), which estimate the SWRC from easy-to-measure properties. The aim of this paper was to test the accuracy of 16 point or parametric PTFs reported in the literature on different soils from the south and southeast of the State of Pará, Brazil. The PTFs tested were proposed by Pidgeon (1972), Lal (1979), Aina & Periaswamy (1985), Arruda et al. (1987), Dijkerman (1988), Vereecken et al. (1989), Batjes (1996), van den Berg et al. (1997), Tomasella et al. (2000), Hodnett & Tomasella (2002), Oliveira et al. (2002), and Barros (2010). We used a database that includes soil texture (sand, silt, and clay), bulk density, soil organic carbon, soil pH, cation exchange capacity, and the SWRC. Most of the PTFs tested did not show good performance in estimating the SWRC. The parametric PTFs, however, performed better than the point PTFs in assessing the SWRC in the tested region. Among the parametric PTFs, those proposed by Tomasella et al. (2000) achieved the best accuracy in estimating the empirical parameters of the van Genuchten (1980) model, especially when tested in the top soil layer.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000300005&tlng=enparametric PTFspoint PTFssoil physicssoil water |
spellingShingle | João Carlos Medeiros Miguel Cooper Jaqueline Dalla Rosa Michel Grimaldi Yves Coquet Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region Revista Brasileira de Ciência do Solo parametric PTFs point PTFs soil physics soil water |
title | Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region |
title_full | Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region |
title_fullStr | Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region |
title_full_unstemmed | Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region |
title_short | Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region |
title_sort | assessment of pedotransfer functions for estimating soil water retention curves for the amazon region |
topic | parametric PTFs point PTFs soil physics soil water |
url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000300005&tlng=en |
work_keys_str_mv | AT joaocarlosmedeiros assessmentofpedotransferfunctionsforestimatingsoilwaterretentioncurvesfortheamazonregion AT miguelcooper assessmentofpedotransferfunctionsforestimatingsoilwaterretentioncurvesfortheamazonregion AT jaquelinedallarosa assessmentofpedotransferfunctionsforestimatingsoilwaterretentioncurvesfortheamazonregion AT michelgrimaldi assessmentofpedotransferfunctionsforestimatingsoilwaterretentioncurvesfortheamazonregion AT yvescoquet assessmentofpedotransferfunctionsforestimatingsoilwaterretentioncurvesfortheamazonregion |