Modelling Infiltration and quantifying Spatial Soil Variability in a Wasteland of Kharagpur, India

Machiwal, Deepesh; Jha, Madan K.; Mal, B. C.

doi:10.1016/j.biosystemseng.2006.08.007

Cited by 81 publications

(65 citation statements)

References 27 publications

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“…This agrees with the results of Machiwal et al (2006). Soils in the field are more heterogeneous than laboratory soil cores and this is a possible reason for the differences.…”

Section: Discussionsupporting

confidence: 90%

“…However, complicated factors that influence the final infiltration rate are a major reason for the different applicability of the models. Machiwal et al (2006) observed infiltration was well described by the Philip's model in wasteland in Kharagpur, India. Navar and Synnott (2000) evaluated the infiltration rates of soils under four land uses in north-eastern Mexico.…”

Section: Introductionsupporting

confidence: 61%

“…Thus, PTFs should be applied to similar conditions to the soils investigated. Moreover, soil pore size distribution is an important factor in spatial variation of Philip's sorptivity parameter (Sharma et al, 1980;Machiwal et al, 2006), whereas total porosity was considered in selected PTFs in this study. Other possible reasons for the difference could be due to variation in soil effective porosity, pore size distribution (Sharma et al, 1980), matric properties, and probable preferential flow.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of some infiltration models and hydraulic parameters

Haghighi

Gorji

Shorafa

et al. 2010

Span. j. agric. res.

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The evaluation of infiltration characteristics and some parameters of infiltration models such as sorptivity and final steady infiltration rate in soils are important in agriculture. The aim of this study was to evaluate some of the most common models used to estimate final soil infiltration rate. The equality of final infiltration rate with saturated hydraulic conductivity (K s ) was also tested. Moreover, values of the estimated sorptivity from the Philip's model were compared to estimates by selected pedotransfer functions (PTFs). The infiltration experiments used the doublering method on soils with two different land uses in the Taleghan watershed of Tehran province, Iran, from September to October, 2007. The infiltration models of Kostiakov-Lewis, Philip two-term and Horton were fitted to observed infiltration data. Some parameters of the models and the coefficient of determination goodness of fit were estimated using MATLAB software. The results showed that, based on comparing measured and model-estimated infiltration rate using root mean squared error (RMSE), Horton's model gave the best prediction of final infiltration rate in the experimental area. Laboratory measured K s values gave significant differences and higher values than estimated final infiltration rates from the selected models. The estimated final infiltration rate was not equal to laboratory measured K s values in the study area. Moreover, the estimated sorptivity factor by Philip's model was significantly different to those estimated by selected PTFs. It is suggested that the applicability of PTFs is limited to specific, similar conditions. Additional key words: final infiltration rate, saturated hydraulic conductivity, sorptivity. Resumen Evaluación de algunos modelos de infiltración y de algunos parámetros hidráulicosEn la agricultura es importante evaluar las características de la infiltración y de algunos parámetros de los modelos de infiltración, como sortividad y tasa de infiltración constante final de los suelos. El objetivo de este estudio fue evaluar algunos de los modelos utilizados más frecuentemente para estimar la tasa de infiltración final del agua en el suelo, así como estudiar la relación de la tasa de infiltración final con la conductividad hidráulica saturada (K s ) y comparar los valores estimados de la sortividad según el modelo de Philip con los estimados según funciones seleccionadas de edafotransferencia (PTFs). Se realizaron unos experimentos de infiltración en la cuenca de drenaje Taleghan, Teherán, Iran, desde septiembre a octubre de 2007, mediante el método del doble anillo, en suelos con dos diferentes usos. Se ajustaron los modelos de infiltración de Kostiakov-Lewis, el de dos términos de Philip y el de Horton a los datos de infiltración observados. Se estimó la bondad del ajuste de algunos parámetros de los modelos y el coeficiente de determinación mediante el software MATLAB. Al comparar la tasa de infiltración medida y estimada según los modelos, utilizando la raíz del cuadrado medio del error (RMSE)...

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“…This agrees with the results of Machiwal et al (2006). Soils in the field are more heterogeneous than laboratory soil cores and this is a possible reason for the differences.…”

Section: Discussionsupporting

confidence: 90%

Section: Introductionsupporting

confidence: 61%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of some infiltration models and hydraulic parameters

Haghighi

Gorji

Shorafa

et al. 2010

Span. j. agric. res.

View full text Add to dashboard Cite

show abstract

“…This model takes the form of Equation [1] (Gil, 2002): ) and describes the water absorption by the soil as a result of the gradient of the matrix potential and Ks is the saturated hydraulic conductivity (cm h -1 ). Some authors define the constant Ks as an adjustment parameter (Lima and Silans, 1999) or a factor (Machiwal et al, 2006), specifying it as a transitive constant that depends on the initial water content and the soil conditions. Through Equations [1] and [2] it is shown that when soil moisture is low, the initial rate of infiltration is high, due to the sorptivity, but with time the infiltration rate reaches a constant value, which is defined as the Bi and is similar to the saturated hydraulic conductivity (Gil, 2002).…”

Section: Methodsmentioning

confidence: 99%

“…he need to satisfy the present and growing demand for food stimulates the development of research related to the management and use of water, an essential factor for increasing agricultural production, since an efficient application of water fundamentally depends on the infiltration capacity of the soil (Machiwal et al, 2006). At the same time, characterizing the infiltration process constitutes one of the basic parameters of the adequate design and management of the risk systems in agricultural production.…”

mentioning

confidence: 99%

Spatial Analysis of Infiltration in an Oxisol of the Eastern Plains of Colombia

Orjuela-Matta

Sanabria

Camacho-Tamayo

2012

Chilean J. Agric. Res.

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Studies that involve soil attributes variability help the analysis of the behavior of hydrophysical attributes in space, to support the decision-making process within the conception of precision agriculture. The aim of the present paper was to characterize the spatial variability of the surface infiltration and its relation to some soil physical attributes. The sampling was done with a rectangular mesh of 64 points with perpendicular distances of 52 m × 45 m between sampling points. The attributes studied were bulk density, contents of sand, silt and clay, soil moisture, cumulative infiltration, basic infiltration, sorptivity, and saturated hydraulic conductivity (Ks). Data were analyzed using descriptive statistics and geostatistics, identifying the relationship between attributes, using the Pearson correlation and cluster analysis. Results suggest a behavior of parameters close to normal, attributes related to soil water movement had greater variability, with low basic infiltration (1.46 cm h -1 ) and Ks (0.80 cm h ) show limitations by compaction. Cumulative infiltration and Ks attributes did not fit to models of spatial distribution, finding ranges of 150 m for the other attributes, distance to optimize future sampling for the study of spatial variability. Pearson correlation and cluster analysis allowed establishing relationships between soil attributes; spatial relationships were corroborated in contour maps, where we observed the influence of clay and sand content in the behavior of bulk density, and the influence of these attributes in processes of water infiltration into the soil.

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Modeling Water Dynamics for Assessing and Managing Ecosystem Services in India

Ali¹,

Ojasvi²

2022

Enhancing Agricultural Research and Precision Management for Subsistence Farming by Integrating System Models With Experiments

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Modelling Infiltration and quantifying Spatial Soil Variability in a Wasteland of Kharagpur, India

Cited by 81 publications

References 27 publications

Evaluation of some infiltration models and hydraulic parameters

Evaluation of some infiltration models and hydraulic parameters

Spatial Analysis of Infiltration in an Oxisol of the Eastern Plains of Colombia

Modeling Water Dynamics for Assessing and Managing Ecosystem Services in India

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