Spatial variability of hydraulic conductivity and solute transport parameters and their spatial correlations to soil properties

Godoy, Vanessa A.; Zuquette, Lázaro Valentin; Gómez‐Hernández, J. Jaime

doi:10.1016/j.geoderma.2018.12.015

Cited by 39 publications

(24 citation statements)

References 86 publications

(113 reference statements)

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“…This contrast shows the great variability of this soil hydrology attribute, also demonstrated by the coefficient of variation (99.4%), being classified as having a high variability (CV > 35%) according to Wilding and Drees (1983). Godoy et al (2019) and She et al (2014) found a CV for K Sat of 122.0 and 50.8% in studies conducted in central-western Brazil and in the Loess Plateau region (China), respectively. Even when the data sets were transformed to logarithmic (ln), She et al (2017) obtained a CV above 35%.…”

Section: Exploratory Analysesmentioning

confidence: 96%

“…A negative correlation was observed between K Sat and Micro (− 0.51). According to Godoy et al (2019), this would be an inconsistent pattern considering that the K Sat of the soil has no physical relationship with soil micropores. This result indicates that a simple linear correlation matrix is not enough to explain the correlations between K Sat and other attributes, and thus, multivariate statistical tools should be considered for the assortment of spatial covariates and then a more efficient cokriging process.…”

Section: Cluster Analysesmentioning

confidence: 99%

“…The relationship between Mac and TP is justified by the fact that macroporosity is a straight component of total soil porosity. Soil porosity, mainly macroporosity, is the main water path in the soil profile, and in this way, the approximation of these attributes with K Sat becomes clear (Godoy et al 2019). Some studies (Kurnianto et al 2018;Liu et al 2018) suggest that K Sat is affected by land use, mainly in the superficial soil layers.…”

Section: Cluster Analysesmentioning

confidence: 99%

See 2 more Smart Citations

Identifying Covariates to Assess the Spatial Variability of Saturated Soil Hydraulic Conductivity Using Robust Cokriging at the Watershed Scale

Soares

Centeno

Timm

et al. 2020

J Soil Sci Plant Nutr

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The mapping of saturated soil hydraulic conductivity (K Sat) is essential to understanding soil water dynamics and is a sensitive input in hydrological modeling. The objectives of this study were to provide a reference for the selection of soil hydrology and other environmental attributes that can be used as covariates for estimating K Sat and to compare the efficiency of univariate ordinary kriging versus ordinary robust cokriging, using selected soil hydrology and environmental attributes. Data sets were obtained from a sample grid of 179 points established in the Ellert creek watershed (ECW), located in Rio Grande do Sul state, Southern Brazil. K Sat , macroporosity, microporosity, total porosity, and bulk density were determined from soil sampled at each point. Data of land use and elevation were also applied. All data sets were firstly submitted to classical statistics. Boxplot graphics were constructed to evaluate the relationship between K Sat and land uses. Spearman coefficient of correlation between K Sat and the other attributes was also assessed. For the assortment of covariates, cluster analysis was applied. Classical and robust estimators were applied to calculate the auto and cross-semivariograms and hereafter the ordinary kriging and cokriging. The Spearman coefficient showed some inconsistencies among the applied variables, suggesting that the multivariate method was more appropriate. All cross-semivariograms, except for land use, showed results with better accuracy than the auto-semivariograms. From the methods applied, the best estimates of K Sat were obtained using the robust cokriging method, using macroporosity and soil bulk density as covariates.

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Section: Exploratory Analysesmentioning

confidence: 96%

Section: Cluster Analysesmentioning

confidence: 99%

Section: Cluster Analysesmentioning

confidence: 99%

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Identifying Covariates to Assess the Spatial Variability of Saturated Soil Hydraulic Conductivity Using Robust Cokriging at the Watershed Scale

Soares

Centeno

Timm

et al. 2020

J Soil Sci Plant Nutr

View full text Add to dashboard Cite

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“…Water-soil chemical interactions change the hydro-mechanical behavior of soil by transferring components between water and soil, mainly via dissolution and precipitation, exchange and adsorption, and redox reactions [20][21][22]38,39]. In particular, the influence of these actions on soil permeability are significant [14,15,40,41].…”

Section: Response Of Permeability To Water-soil Chemical Interactionmentioning

confidence: 99%

“…These effects promote the transfer of components between soil and fluid, thus leading to changes of the surface morphology of particles and strengthening the soil structure [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Effect of Sodium Chloride Concentration on Saturated Permeability of Remolded Loess

Zhang

Qian

et al. 2020

Minerals

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Loess contains many sodium and chloride ions that can easily be leached when seepage occurs, thus affecting the mechanical properties of loess. This study investigated a series of sodium chloride solution concentrations to explore their influence on the permeability of remolded loess, as well as the underlying mechanism of such. The results indicated that the saturated hydraulic conductivity of remolded loess increases with time in response to different sodium chloride concentrations, and the sample was more permeable with increasing concentration. Moreover, the salt effect promoted the dissolution of calcite and dolomite, and the cation exchange stimulated the leaching of other cations, thus leading to further structural loosening. Furthermore, the aggregation of clay particles increased, thus forming a larger pore space among aggregates and providing effective channels for permeation. These findings provide a theoretical basis for an improved understanding of channel degradation in the loess area of Northwest China.

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Dye solution experiments for determining solute transport behaviour in degraded wetland soils of the Yellow River Delta

et al. 2022

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Solute transport behaviour can indicate the efficiency of eco-hydrological responses.However, this behaviour has not been consider for use in assessing the health of wetland ecosystems. We assessed solute transport behaviour in degraded wetland soils using 72 undisturbed soil columns located in Robinia pseudoacacia (tree) and Tamarix chinensis (bush) communities. Soil column tracer experiments were conducted under the same initial and boundary conditions using Brilliant Blue FCF as a conservative tracer. Solute transport behaviour at a soil column scale was described by four measures: steady infiltration rate of effluents, concentration of effluents, dye staining patterns and cumulative effluents leaching. Numerical modelling by the dualpermeability model in HYDRUS-1D was used to simulate the proportion of cumulative effluents leaching from soil macropores. These data showed that steady infiltration rate of effluents at the tree site decreased with increasing soil depth (5.742, 0.716, 0.657, and 0.458 ml/min) but at the bush site first increased and then subsequently decreased with increasing soil depth (0.336, 0.548, 0.974 and 0.379 ml/min).The concentration of effluents at the tree site (0.583, 0.149, 0.147 and 0.067 g/L) and the bush site (0.281, 0.109, 0.161 and 0.053 g/L) decreased nonlinearly with increasing soil depth. Dye staining patterns were significantly different between different soil locations. The largest dark blue staining domains were from 0 to 10 cm soil depths at the tree site and 20-40 cm depths at the bush site. The proportion of cumulative effluents leaching from soil macropores ranged from 37.6% to 61.1% at the tree site and ranged from 0% to 99.9% at the bush site. Understanding the solute transport behaviour in the Yellow River Delta is the first step towards the restoration of degraded wetlands.

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Spatial variability of hydraulic conductivity and solute transport parameters and their spatial correlations to soil properties

Cited by 39 publications

References 86 publications

Identifying Covariates to Assess the Spatial Variability of Saturated Soil Hydraulic Conductivity Using Robust Cokriging at the Watershed Scale

Identifying Covariates to Assess the Spatial Variability of Saturated Soil Hydraulic Conductivity Using Robust Cokriging at the Watershed Scale

Effect of Sodium Chloride Concentration on Saturated Permeability of Remolded Loess

Dye solution experiments for determining solute transport behaviour in degraded wetland soils of the Yellow River Delta

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