Curva de retenção de água no solo pelo método do papel-filtro

Lucas, Juliana Fenner Ruas; Tavares, Maria Hermínia Ferreira; Cardoso, Décio Lopes; Cássaro, Fábio Augusto Meira

doi:10.1590/s0100-06832011000600013

Cited by 19 publications

(20 citation statements)

References 18 publications

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“…Lucas et al (2011), using a 0.045 m diameter filter paper between two filter papers of 0.05 m, placed between two soil samples with the same moisture content, also found fairly similar results between the filter paper and the conventional methods for a Latossolo.…”

Section: Resultsmentioning

confidence: 62%

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Filter Paper Method for the Determination of the Soil Water Retention Curve

Almeida

Teixeira

Filho

et al. 2015

Rev. Bras. Ciênc. Solo

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high cost and long time required to determine a retention curve by the conventional methods of the richards Chamber and haines Funnel limit its use; therefore, alternative methods to facilitate this routine are needed. The filter paper method to determine the soil water retention curve was evaluated and compared to the conventional method. undisturbed samples were collected from five different soils. Using a Haines Funnel and Richards Chamber, moisture content was obtained for tensions of 2; 4; 6; 8; 10; 33; 100; 300; 700; and 1,500 kPa. in the filter paper test, the soil matric potential was obtained from the filter-paper calibration equation, and the moisture subsequently determined based on the gravimetric difference. The van Genuchten model was fitted to the observed data of soil matric potential versus moisture. Moisture values of the conventional and the filter paper methods, estimated by the van Genuchten model, were compared. The filter paper method, with R² of 0.99, can be used to determine water retention curves of agricultural soils as an alternative to the conventional method.

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Section: Resultsmentioning

confidence: 62%

“…The greater speed of the filter paper method was emphasized in other studies (Chandler and Gutierrez, 1986;Bulut and Leong, 2008;Lucas et al, 2011).…”

Section: Resultsmentioning

confidence: 97%

Filter Paper Method for the Determination of the Soil Water Retention Curve

Almeida

Teixeira

Filho

et al. 2015

Rev. Bras. Ciênc. Solo

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“…In this context, the soil water retention curve (SWRC), given by the relationship between water content and the matric potential with which water is retained in the soil-allows to monitor soil moisture and, therefore, define when and how much to irrigate (Lucas et al, 2011). SWRC can be obtained through various methods, in the field and laboratory.…”

Section: Introductionmentioning

confidence: 99%

Estimation of van Genuchten Equation Parameters in Laboratory and through Inverse Modeling with Hydrus-1D

Nascimento¹,

Júnior²,

Araújo³

et al. 2018

JAS

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Soil water retention curve (SWRC) becomes important because it guides when and how much to irrigate, optimizing the use of water; can be obtained in the field or laboratory, being commonly determined in the laboratory with porous plate apparatus, and the determination is compromised by issues such as time and labor. In this context, inverse modeling emerges, which allows to obtain a variable going from the effect to the cause, using Hydrus-1D. Hence, this study aims to obtain van Genuchten equation parameters through inverse modeling with Hydrus-1D and make the respective comparisons and inferences. Matric potential data were obtained over time in an instantaneous profile-type experiment. Six sets of three tensiometers each were installed surrounding the center of the experimental plot, at depths of 0.20, 0.35 and 0.50 m. Target depth was 0.35 m, where the roots of most crops are concentrated, and the other tensiometers were used to obtain the potential gradient. Matric potential data were used to feed Hydrus-1D and obtain the van Genuchten equation parameters. Laboratory curves were obtained using porous plate apparatus, with four replicates. It was concluded that, in general, the Hydrus-1D model estimates van Genuchten equation parameters and, consequently, the SWCC of an Argissolo more consistently with field conditions than those obtained in the laboratory; and, provided it is fed with field data, the Hydrus-1D simulates well the behavior of matric potential and moisture over time, reducing the time and labor in the procedures to obtain van Genuchten equation parameters in the laboratory.

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“…The relationship between soil potential (ϕm) and volumetric soil water content (θ) is important in describing water behavior (LUCAS et al, 2011), being essential for studies of soil-water relations (SILVA et al, 2006). This relationship can be expressed mathematically by θ = f (ϕm) or ϕm = f (θ) (ALMEIDA et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Effect of Sample Re-Saturation on Soil-Water Characteristic Curve

et al. 2018

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-Soil-water characteristic curve (SWCC) is an important tool for water management in irrigated agriculture. However, factors such as texture and structure of soils influence SWCC behavior. According to the literature, wetting and drying cycles alter SWCC. A similar process of re-saturation and drying occurs during SWCC obtainment under laboratory conditions. Based on the hypothesis that re-saturation process alters SWCC due to clay loss in the sample, this study aimed to obtain the SWCC, S index, and pore size distribution from samples submitted to re-saturation cycles, as well as from not re-saturated samples but under higher matric potentials (−2, −4, −6, −8, and −10 kPa). For this, disturbed and undisturbed soil samples, collected from the A (sandy texture) and Btg (sandy clay loam texture) horizons of a Argissolo Acizentado, were used. After obtaining SWCC, each air-dried soil sample was submitted to particle size and clay dispersed in water analyses to verify whether the soil lost clay. The experimental design was a completely randomized design with two methods of SWCC constructing (with and without re-saturation) and eight replications. The re-saturation process generates a loss of clay in the sample, not causing significant changes in SWCC considering the assessed textural soil classes. In addition, sandy soil samples are more sensitive to changes in pore size distribution when submitted to re-saturation.Keywords: Irrigation management. Soil porosity. Water in soil.EFEITO DA RESSATURAÇÃO DA AMOSTRA SOBRE A CURVA CARACTERÍSTICA DE ÁGUA NO SOLO RESUMO -A curva característica de água no solo (CCAS) constitui importante ferramenta no manejo da água na agricultura irrigada. Entretanto, vale ressaltar que fatores como textura e estrutura do solo influenciam seu comportamento. Há informações na literatura que ciclos de umedecimento e secagem alteram a CCAS. Saliente-se que processo similar, de ressaturação e secagem, ocorre durante a obtenção da CCAS em laboratório. Tendo como hipótese que o processo de ressaturação, por provocar perda de argila na amostra, altera a CCAS, objetivou-se obter a CCAS, o índice S e a distribuição dos poros por tamanho a partir de amostras submetidas a ciclos de ressaturação em oposição àquelas não sujeitas a este processo em maiores potenciais mátricos (−2, −4, −6, −8 e −10 kPa). Para tanto, utilizaram-se amostras com estrutura deformada e indeformada, coletadas do horizonte A (textura arenosa) e Btg (textura franco argilo-arenosa) de um Argissolo Acinzentado. Após a obtenção da CCAS, cada amostra foi levada à condição de terra fina seca ao ar e submetida à análise granulométrica e de argila dispersa em água para verificar se houve perda de argila. O delineamento estatístico foi o inteiramente casualizado, com dois métodos de construção da CCAS -com e sem ressaturação -e oito repetições. Concluiu-se que o processo de ressaturação gera perda de argila na amostra, mas não provoca alterações significativas na CCAS nas classes texturais avaliadas; e que as amostras de solo de t...

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Curva de retenção de água no solo pelo método do papel-filtro

Cited by 19 publications

References 18 publications

Filter Paper Method for the Determination of the Soil Water Retention Curve

Filter Paper Method for the Determination of the Soil Water Retention Curve

Estimation of van Genuchten Equation Parameters in Laboratory and through Inverse Modeling with Hydrus-1D

Effect of Sample Re-Saturation on Soil-Water Characteristic Curve

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