Influence of Spatial Variability of Saturated Hydraulic Conductivity on the Infiltration Process

1989 ◽  
pp. 455-467 ◽  
Author(s):  
Paulo Matias ◽  
Francisco Nunes Correia ◽  
Luís Santos Pereira
Keyword(s):  
Hydraulic Conductivity ◽  
Spatial Variability ◽  
Saturated Hydraulic Conductivity ◽  
Infiltration Process

scholarly journals SPATIAL VARIABILITY OF THE SATURATED HYDRAULIC CONDUCTIVITY OF SOIL IN COCOA FARMING IN RECÔNCAVO BAIANO

2019 ◽  
Vol 32 (3) ◽  
pp. 786-794
Author(s):  
GERLANGE SOARES DA SILVA ◽  
JUCICLÉIA SOARES DA SILVA ◽  
FRANCISCO ADRIANO DE CARVALHO PEREIRA ◽  
RODRIGO ALMEIDA SANTANA ◽  
RAFAEL SILVA FIRMO ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Spatial Variability ◽  
Irrigation Management ◽  
Gaussian Model ◽  
Constant Load ◽  
Saturated Hydraulic Conductivity ◽  
Limiting Factor ◽  
Site Management ◽  
Data Set ◽  
Different Depths

ABSTRACT Irrigated cocoa cultivation opened the way for production in Coastal Tablelands soils. However, in this region, the cohesive layer formed near the surface can be a limiting factor for production. The knowledge of physical soil water attributes enables the efficient irrigation management of cohesive soils. This study characterized and modeled the spatial variability of saturated hydraulic conductivity (K0) in a Distrocoeso Oxisoil of the Recôncavo Baiano Coastal Tablelands. The soil sampling was performed as undeformed structures from 50 spaced points in an 8.0 to 8.0 m area, at three different depths in the experimental area of the Federal University of Bahia Recôncavo in the Cruz das Almas-BA cultivated with cocoa (‘CCN 51’). In the laboratory, K0 was determined by permeameter method constant load, and the pore size distribution was determined using the voltage table and the soil density (Ds). Data were analyzed using descriptive statistics and geostatistics. On average, the K0 values were 40.41, 26.49, and 37.82 mm-1 h-1 at the depths from 0.0-0.15 m, 0.15-0.30, and 0.30-0.45 m. The Gaussian model was the best fit to the K0 data set. For soil class, the K0 showed a strong spatial dependence due to their relationship with the physical properties of the soil, its use, and handling. Since an important attribute for the delimitation of homogeneous areas for specific site management purposes as well be considered.

Spatial variability of saturated hydraulic conductivity at the hillslope scale: Understanding the role of land management and erosional effect

Geoderma ◽  
2015 ◽  
Vol 243-244 ◽  
pp. 58-68 ◽  
Author(s):  
Athanasios (Thanos) N. Papanicolaou ◽  
Mohamed Elhakeem ◽  
Christopher G. Wilson ◽  
C. Lee Burras ◽  
Larry T. West ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Spatial Variability ◽  
Land Management ◽  
Saturated Hydraulic Conductivity ◽  
Hillslope Scale

scholarly journals Improved calibration of the Green–Ampt infiltration module in the EROSION-2D/3D model using a rainfall-runoff experiment database

SOIL ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 241-253
Author(s):  
Hana Beitlerová ◽  
Jonas Lenz ◽  
Jan Devátý ◽  
Martin Mistr ◽  
Jiří Kapička ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Hydraulic Conductivity ◽  
Soil Erosion ◽  
3D Model ◽  
Transfer Functions ◽  
State Of The Art ◽  
The State ◽  
Saturated Hydraulic Conductivity ◽  
Infiltration Process ◽  
Calibration Parameter

Abstract. Soil infiltration is one of the key factors that has an influence on soil erosion caused by rainfall. Therefore, a well-represented infiltration process is a necessary precondition for successful soil erosion modelling. Complex natural conditions do not allow the full mathematical description of the infiltration process, and additional calibration parameters are required. The Green–Ampt-based infiltration module in the EROSION-2D/3D model introduces a calibration parameter “skinfactor” to adjust saturated hydraulic conductivity. Previous studies provide skinfactor values for several combinations of soil and vegetation conditions. However, their accuracies are questionable, and estimating the skinfactors for other than the measured conditions yields significant uncertainties in the model results. This study brings together an extensive database of rainfall simulation experiments, the state-of-the-art model parametrisation method and linear mixed-effect models to statistically analyse relationships between soil and vegetation conditions and the model calibration parameter skinfactor. New empirically based transfer functions for skinfactor estimation significantly improving the accuracy of the infiltration module and thus the overall EROSION-2D/3D model performance are provided in this study. Soil moisture and bulk density were identified as the most significant predictors explaining 82 % of the skinfactor variability, followed by the soil texture, vegetation cover and impact of previous rainfall events. The median absolute percentage error of the skinfactor prediction was improved from 71 % using the currently available method to 30 %–34 % using the presented transfer functions, which led to significant decrease in error propagation into the model results compared to the present method. The strong logarithmic relationship observed between the calibration parameter and soil moisture however indicates high overestimation of infiltration for dry soils by the algorithms implemented in EROSION-2D/3D and puts the state-of-the-art parametrisation method in question. An alternative parameter optimisation method including calibration of two Green–Ampt parameters' saturated hydraulic conductivity and water potential at the wetting front was tested and compared with the state-of-the-art method, which paves a new direction for future EROSION-2D/3D model parametrisation.

scholarly journals INFLUÊNCIA DA PEDOFORMA NA VARIABILIDADE ESPACIAL DE ALGUNS ATRIBUTOS FÍSICOS E HÍDRICOS DE UM LATOSSOLO SOB CULTIVO DE CANA-DE-AÇÚCAR

Irriga ◽  
2004 ◽  
Vol 9 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Zigomar Menezes de Souza ◽  
José Marques Júnior ◽  
Gener Tadeu Pereira ◽  
Luis Fernando Moreira
Keyword(s):  
Soil Moisture ◽  
Hydraulic Conductivity ◽  
Spatial Variability ◽  
Spatial Dependence ◽  
Penetration Resistance ◽  
Conventional Tillage ◽  
Saturated Hydraulic Conductivity ◽  
Soil Penetration Resistance ◽  
Occurrence Patterns ◽  
Very High

INFLUÊNCIA DA PEDOFORMA NA VARIABILIDADE ESPACIAL DE ALGUNS ATRIBUTOS FÍSICOS E HÍDRICOS DE UM LATOSSOLO SOB CULTIVO DE CANA-DE-AÇÚCAR[1]   Zigomar Menezes de Souza;  José Marques Júnior; Gener Tadeu Pereira; Luis Fernando MoreiraDepartamento de Solos e Adubos, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal, SP,  [email protected]  1 RESUMO  O presente trabalho teve como objetivo avaliar a variabilidade espacial da condutividade hidráulica do solo saturado, resistência do solo à penetração e teor de água de um Latossolo Vermelho eutroférrico sob cultivo de cana de açúcar, utilizando-se métodos da estatística clássica, análises geoestatística e técnicas de interpolação de dados, com a finalidade de observar padrões de ocorrência destes atributos na paisagem. Foram feitas amostragens de solo nas profundidades de 0,0-0,2 m e 0,2-0,4 m, nos pontos de cruzamento de uma malha, com intervalos regulares de 10 m, perfazendo um total de 100 pontos. Os valores do coeficiente de variação para os dados apresentaram-se desde baixos (teor de água do solo), alto (resistência do solo à penetração) e muito alto (condutividade hidráulica do solo saturado). Observou-se a ocorrência de dependência espacial de todas as variáveis estudadas, com os maiores alcances na profundidade de 0,2-0,4 m. As variáveis condutividade hidráulica do solo saturado e teor de água do solo apresentaram grau moderado de dependência espacial, a resistência à penetração teve forte grau de dependência espacial. Pequenas variações nas formas do relevo condicionam variabilidade diferenciada para atributos físicos do solo.  UNITERMOS: geoestatística, krigagem, condutividade hidráulica do solo saturado, resistência do solo à penetração.   SOUZA, Z. M. de; MARQUES JUNIOR, J.; PEREIRA, G. T.; MOREIRA, L. F. INFLUENCE OF THE LANDSCAPE IN THE SPATIAL VARIABILITY OF THE HYDRAULIC CONDUCTIVITY, PENETRATION RESISTANCE AND SOIL MOISTURE IN THE SUGAR CANE CROP  2 ABSTRACT     The objective of this work was to evaluate spatial variability of saturated hydraulic conductivity, soil resistance to penetration and soil moisture in an area where sugarcane was planted under conventional tillage, using classic statistical methods, geostatistical analyses and data interpolation techniques, to assess occurrence patterns of these characteristics in the landscape. Soil was sampled depths of 0.0-0.2 m and 0.2-0.4 m, collected in intersections of a regular grid, with intervals of 10 m, in a total of 100 sampling points. Variation Coefficient (VC) were low for soil moisture, high soil for penetration resistance and very high for saturated hydraulic conductivity. All variables showed spatial dependence and the largest ones for depth of 0.2-0.4 m. Saturated hydraulic conductivity and soil moisture presented moderate spatial dependence, soil penetration resistance showed strong spatial dependence. Small variations in the landscape forms can define different spatial variability found for the physical characteristics of the soil.  KEYWORDS: geostatistics, kriging, saturated hydraulic conductivity, soil penetration resistance. 

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