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| 18. |  | SILVA, A. J. P. da; COELHO, E. F.; MIRANDA, J. H. de; WORKMAN, S. R. Estimating water application efficiency for drip irrigation emitter patterns on banana. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 44, n. 7, p. 730-737, jul. 2009.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Mandioca e Fruticultura; Embrapa Unidades Centrais. |
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| Registros recuperados : 58 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
25/04/2014 |
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Data da última atualização: |
25/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SILVA, A. J. P. da; COELHO, E. F. |
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Afiliação: |
ALISSON JADAVI PEREIRA DA SILVA, IF Baiano; EUGENIO FERREIRA COELHO, CNPMF. |
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Título: |
Estimation of water percolation by different methods using TDR. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, v. 38, p.73-81, 2014. |
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ISSN: |
1806-9657 |
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Idioma: |
Inglês |
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Conteúdo: |
Detailed knowledge on water percolation into the soil in irrigated areas is fundamental for solving problems of drainage, pollution and the recharge of underground aquifers. The aim of this study was to evaluate the percolation estimated by time-domain-reflectometry (TDR) in a drainage lysimeter. We used Darcy's law with K(q) functions determined by field and laboratory methods and by the change in water storage in the soil profile at 16 points of moisture measurement at different time intervals. A sandy clay soil was saturated and covered with plastic sheet to prevent evaporation and an internal drainage trial in a drainage lysimeter was installed. The relationship between the observed and estimated percolation values was evaluated by linear regression analysis. The results suggest that percolation in the field or laboratory can be estimated based on continuous monitoring with TDR, and at short time intervals, of the variations in soil water storage. The precision and accuracy of this approach are similar to those of the lysimeter and it has advantages over the other evaluated methods, of which the most relevant are the possibility of estimating percolation in short time intervals and exemption from the predetermination of soil hydraulic properties such as water retention and hydraulic conductivity. The estimates obtained by the Darcy-Buckingham equation for percolation levels using function K(q) predicted by the method of Hillel et al. (1972) provided compatible water percolation estimates with those obtained in the lysimeter at time intervals greater than 1 h. The methods of Libardi et al. (1980), Sisson et al. (1980) and van Genuchten (1980) underestimated water percolation. MenosDetailed knowledge on water percolation into the soil in irrigated areas is fundamental for solving problems of drainage, pollution and the recharge of underground aquifers. The aim of this study was to evaluate the percolation estimated by time-domain-reflectometry (TDR) in a drainage lysimeter. We used Darcy's law with K(q) functions determined by field and laboratory methods and by the change in water storage in the soil profile at 16 points of moisture measurement at different time intervals. A sandy clay soil was saturated and covered with plastic sheet to prevent evaporation and an internal drainage trial in a drainage lysimeter was installed. The relationship between the observed and estimated percolation values was evaluated by linear regression analysis. The results suggest that percolation in the field or laboratory can be estimated based on continuous monitoring with TDR, and at short time intervals, of the variations in soil water storage. The precision and accuracy of this approach are similar to those of the lysimeter and it has advantages over the other evaluated methods, of which the most relevant are the possibility of estimating percolation in short time intervals and exemption from the predetermination of soil hydraulic properties such as water retention and hydraulic conductivity. The estimates obtained by the Darcy-Buckingham equation for percolation levels using function K(q) predicted by the method of Hillel et al. (1972) provided compatible water perc... Mostrar Tudo |
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Palavras-Chave: |
Instantaneous profile. |
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Thesagro: |
Drenagem. |
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Thesaurus NAL: |
Internal drainage; Time domain reflectometry; Unsaturated hydraulic conductivity. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02329naa a2200205 a 4500
001 1985089
005 2023-05-25
008 2014 bl uuuu u00u1 u #d
022 $a1806-9657
100 1 $aSILVA, A. J. P. da
245 $aEstimation of water percolation by different methods using TDR.$h[electronic resource]
260 $c2014
520 $aDetailed knowledge on water percolation into the soil in irrigated areas is fundamental for solving problems of drainage, pollution and the recharge of underground aquifers. The aim of this study was to evaluate the percolation estimated by time-domain-reflectometry (TDR) in a drainage lysimeter. We used Darcy's law with K(q) functions determined by field and laboratory methods and by the change in water storage in the soil profile at 16 points of moisture measurement at different time intervals. A sandy clay soil was saturated and covered with plastic sheet to prevent evaporation and an internal drainage trial in a drainage lysimeter was installed. The relationship between the observed and estimated percolation values was evaluated by linear regression analysis. The results suggest that percolation in the field or laboratory can be estimated based on continuous monitoring with TDR, and at short time intervals, of the variations in soil water storage. The precision and accuracy of this approach are similar to those of the lysimeter and it has advantages over the other evaluated methods, of which the most relevant are the possibility of estimating percolation in short time intervals and exemption from the predetermination of soil hydraulic properties such as water retention and hydraulic conductivity. The estimates obtained by the Darcy-Buckingham equation for percolation levels using function K(q) predicted by the method of Hillel et al. (1972) provided compatible water percolation estimates with those obtained in the lysimeter at time intervals greater than 1 h. The methods of Libardi et al. (1980), Sisson et al. (1980) and van Genuchten (1980) underestimated water percolation.
650 $aInternal drainage
650 $aTime domain reflectometry
650 $aUnsaturated hydraulic conductivity
650 $aDrenagem
653 $aInstantaneous profile
700 1 $aCOELHO, E. F.
773 $tRevista Brasileira de Ciência do Solo$gv. 38, p.73-81, 2014.
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