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| Registros recuperados : 16 | |
| 15. |  | BARROS, A. H. C.; LIER, Q. de J. van; PARAHYBA, R. da B. V.; TABOSA, J. N.; MAIA, A. de H. N.; SCARPARE, F. V. Avaliação e teste de funções de pedotransferência na estimativa do teor de água no solo e no rendimento agrícola da cultura do sorgo. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 17., 2011, Guarapari. Riscos climáticos e cenários agrícolas futuros: anais. Guarapari: Incaper, 2011. 1 CD ROM.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 16. | | BARROS, A. H. C.; MAIA, A. de H. N.; LIER, Q. DE J. van; ANDRADE JUNIOR, A. S. de; SCARPARE, F. V. Métodos de estimação de evapotranspiração para a região nordeste do Brasil. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 16., 2009, Belo Horizonte. Mudanças climáticas, recursos hídricos e energia para uma agricultura sustentável. Belo Horizonte: SBA: UFV: Embrapa Milho e Sorgo, 2009. 1 CD-ROM. 5 p.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 16 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
03/06/2013 |
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Data da última atualização: |
27/04/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BARROS, A. H. C.; LIER, Q. de J. van; MAIA, A. de H. N.; SCARPARE, F. V. |
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Afiliação: |
ALEXANDRE HUGO CEZAR BARROS, CNPS; QUIRIJN DE JONG VAN LIER, CENA/USP; ALINE DE HOLANDA NUNES MAIA, CNPMA; FÁBIO VALE SCARPARE, CTEB/CNPEM. |
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Título: |
Pedotransfer functions to estimate water retention parameters of soils in notheastern Brazil. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, v. 37, n. 2, p. 379-391, mar./abr. 2013. |
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Idioma: |
Português |
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Conteúdo: |
Pedotransfer functions (PTF) were developed to estimate the parameters (a, n, qr and qs) of the van Genuchten model (1980) to describe soil water retention curves. The data came from various sources, mainly from studies conducted by universities in Northeast Brazil, by the Brazilian Agricultural Research Corporation (Embrapa) and by a corporation for the development of the São Francisco and Parnaíba river basins (Codevasf), totaling 786 retention curves, which were divided into two data sets: 85 % for the development of PTFs, and 15 % for testing and validation, considered independent data. Aside from the development of general PTFs for all soils together, specific PTFs were developed for the soil classes Ultisols, Oxisols, Entisols, and Alfisols by multiple regression techniques, using a stepwise procedure (forward and backward) to select the best predictors. Two types of PTFs were developed: the first included all predictors (soil density, proportions of sand, silt, clay, and organic matter), and the second only the proportions of sand, silt and clay. The evaluation of adequacy of the PTFs was based on the correlation coefficient (R) and Willmott index (d). To evaluate the PTF for the moisture content at specific pressure heads, we used the root mean square error (RMSE). The PTFpredicted retention curve is relatively poor, except for the residual water content. The inclusion of organic matter as a PTF predictor improved the prediction of parameter a of van Genuchten. The performance of soil-class-specific PTFs was not better than of the general PTF. Except for the water content of saturated soil estimated by particle size distribution, the tested models for water content prediction at specific pressure heads proved satisfactory. Predictions of water content at pressure heads more negative than -0.6 m, using a PTF consideringparticle size distribution, are only slightly lower than those obtained by PTFs including bulk density and organic matter content. MenosPedotransfer functions (PTF) were developed to estimate the parameters (a, n, qr and qs) of the van Genuchten model (1980) to describe soil water retention curves. The data came from various sources, mainly from studies conducted by universities in Northeast Brazil, by the Brazilian Agricultural Research Corporation (Embrapa) and by a corporation for the development of the São Francisco and Parnaíba river basins (Codevasf), totaling 786 retention curves, which were divided into two data sets: 85 % for the development of PTFs, and 15 % for testing and validation, considered independent data. Aside from the development of general PTFs for all soils together, specific PTFs were developed for the soil classes Ultisols, Oxisols, Entisols, and Alfisols by multiple regression techniques, using a stepwise procedure (forward and backward) to select the best predictors. Two types of PTFs were developed: the first included all predictors (soil density, proportions of sand, silt, clay, and organic matter), and the second only the proportions of sand, silt and clay. The evaluation of adequacy of the PTFs was based on the correlation coefficient (R) and Willmott index (d). To evaluate the PTF for the moisture content at specific pressure heads, we used the root mean square error (RMSE). The PTFpredicted retention curve is relatively poor, except for the residual water content. The inclusion of organic matter as a PTF predictor improved the prediction of parameter a of van Genuchten. The p... Mostrar Tudo |
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Palavras-Chave: |
Soil water retention curve. |
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Thesaurus NAL: |
tropical soils. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/83676/1/V37N2a09.pdf
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Marc: |
LEADER 02588naa a2200181 a 4500
001 1959172
005 2022-04-27
008 2013 bl uuuu u00u1 u #d
100 1 $aBARROS, A. H. C.
245 $aPedotransfer functions to estimate water retention parameters of soils in notheastern Brazil.$h[electronic resource]
260 $c2013
520 $aPedotransfer functions (PTF) were developed to estimate the parameters (a, n, qr and qs) of the van Genuchten model (1980) to describe soil water retention curves. The data came from various sources, mainly from studies conducted by universities in Northeast Brazil, by the Brazilian Agricultural Research Corporation (Embrapa) and by a corporation for the development of the São Francisco and Parnaíba river basins (Codevasf), totaling 786 retention curves, which were divided into two data sets: 85 % for the development of PTFs, and 15 % for testing and validation, considered independent data. Aside from the development of general PTFs for all soils together, specific PTFs were developed for the soil classes Ultisols, Oxisols, Entisols, and Alfisols by multiple regression techniques, using a stepwise procedure (forward and backward) to select the best predictors. Two types of PTFs were developed: the first included all predictors (soil density, proportions of sand, silt, clay, and organic matter), and the second only the proportions of sand, silt and clay. The evaluation of adequacy of the PTFs was based on the correlation coefficient (R) and Willmott index (d). To evaluate the PTF for the moisture content at specific pressure heads, we used the root mean square error (RMSE). The PTFpredicted retention curve is relatively poor, except for the residual water content. The inclusion of organic matter as a PTF predictor improved the prediction of parameter a of van Genuchten. The performance of soil-class-specific PTFs was not better than of the general PTF. Except for the water content of saturated soil estimated by particle size distribution, the tested models for water content prediction at specific pressure heads proved satisfactory. Predictions of water content at pressure heads more negative than -0.6 m, using a PTF consideringparticle size distribution, are only slightly lower than those obtained by PTFs including bulk density and organic matter content.
650 $atropical soils
653 $aSoil water retention curve
700 1 $aLIER, Q. de J. van
700 1 $aMAIA, A. de H. N.
700 1 $aSCARPARE, F. V.
773 $tRevista Brasileira de Ciência do Solo$gv. 37, n. 2, p. 379-391, mar./abr. 2013.
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