Saturate hydraulic conductivity, water stable aggregates and soil organic matter in a sandy-loam soil in Ikwuano lga of Abia state

Eneje, R. C.; Ogbenna, C V; Nuga, BO

doi:10.4314/as.v4i1.1519

Cited by 10 publications

(6 citation statements)

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“…Mixed trends in differences between slope positions for the measured K sat have been observed by other researchers (Elsenbeer et al, 1992; Eneje et al, 2005; Mohanty and Mousli, 2000; Papanicolaou et al, 2008). The differences in many instances have been attributed to local variability due to soil texture, soil horizons, and management.…”

Section: Resultssupporting

confidence: 68%

“…On the other hand, Mohanty and Mousli (2000) found a clear trend overall with slope position on two major soils in loess‐covered Iowa glaciated landscapes. Eneje et al (2005) found significant differences in K sat along a toposequence in which lower slope positions had the highest K sat , followed by mid‐slope and summits. However, these differences were more pronounced for the 0‐ to 15‐cm surface layer than the 15‐ to 30‐cm soil layer.…”

Section: Resultsmentioning

confidence: 89%

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Soil Systems for Upscaling Saturated Hydraulic Conductivity for Hydrological Modeling in the Critical Zone

Libohova

Schoeneberger

Bowling

et al. 2018

Vadose Zone Journal

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Successful hydrological model predictions depend on appropriate framing of scale and the spatial-temporal accuracy of input parameters describing soil hydraulic properties. Saturated soil hydraulic conductivity (K sat ) is one of the most important properties influencing water movement through soil under saturated conditions. It is also one of the most expensive to measure and is highly variable. The objectives of this research were (i) to assess the ability of Amoozemeters, wells, piezometers, and flumes to accurately represent K sat at a small catchment scale and (ii) to extrapolate K sat to a larger watershed based on available soil data and soil landscape models for simulating streamflow using the Distributed Hydrological Soil Vegetation Model. The mean K sat between Amoozemeters, wells, and flumes varied from 2.4 to 4.9 ´ 10 −7 m s −1 , and differences were not significant. Mixed trends in mean K sat for slope positions and soil series were observed. The strongest significant and consistent trend in mean K sat was observed for soil depth. The mean K sat decreased exponentially with depth, from 6.51 ´ 10 6 m s −1 for upper horizons to 2.37 ´ 10 −7 m s −1 for bottom horizons. Recognizing the significantly decreasing trend of K sat with soil depth and the lack of consistent trends between soils and slope positions for small catchments, K sat values were extrapolated from the small catchments occurring in Dillon Creek to another large watershed (Hall Creek) based on soil similarity and distribution. The Nash-Sutcliffe model overall efficiency of 0.52 indicated a good performance in simulating streamflows without model calibration. Combining K sat measurement methods in small catchments with an understanding of soil landscapes and soil distribution relationships allowed successful upscaling of localized soil hydraulic properties for streamflow predictions to larger watersheds.

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Section: Resultssupporting

confidence: 68%

Section: Resultsmentioning

confidence: 89%

Soil Systems for Upscaling Saturated Hydraulic Conductivity for Hydrological Modeling in the Critical Zone

Libohova

Schoeneberger

Bowling

et al. 2018

Vadose Zone Journal

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“…Saturated Hydraulic Conductivity: Results show that the Udults had higher K s " values than Uderts (Table 9). Values of 6.4 x 10 -3 mm 5-1 (Udults) and 5.0 x 10-3 mm 5-1 were similar to the findings of Ezeaku and Anikwe (2006), but contrasted with lower values obtained by Eneje et al (2005) in southeastern Nigeria. However, these variabilities could be due to differences in lithol09ical origin.…”

Section: Resultssupporting

confidence: 71%

Evaluating Soil Structure and Hydraulic Conductivity by Land Use in Nigeria

Onweremadu¹

2008

Soil Horizons

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This study investigated pedality, aggregate stability, and saturated hydraulic conductivity (Ksat) of two soil groups influenced by three land use types in central southeastern Nigeria. A free survey technique was used for target sampling of soils (Udults and Uderts) carrying three land use types, namely maize dominated plus melon (MDPM), oil palm plantation with mucuna (OPWM), and cassava dominated mixed crop (CDMC). Pedality was measured using known standards, and other soil properties were subjected to routine analyses. Data generated were analyzed statistically with the SYSTAT 9 Computer Program. Changes in structural attributes were high at the surficial layer (0.5 cm). The largest mean weight diameters (MWDs) of dry aggregates were found in OPWM soils, while wet aggregate stability (WAS) was higher in MDPM soils. The Ksat values were 6.4 × 10−3 mm s−1 (Udults) and 5.0 × 10−3 mm s−1 (Uderts) and were influenced by total porosity, clay content, and organic matter. These soil attributes showed high influence in their prediction of water transmissivity (dependent variable). Prediction of water transmissivity was highly accurate based on low values of root mean square error (RMSE) and minimal bias. Inclusion of more predictors, intensive sampling, and application of other multivariate techniques such as principal component analysis (PCA) and cluster analysis (CA) will further improve knowledge of pedality, aggregate stability, and Ksat in the studied soils.

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“…This is attributed to the lower bulk density of the topsoils than the subsoils, clay accumulation in subsoils and the attendant reduction in proportion of macropores (Table 3), as well as to greater concentration of plants roots and faunal activities in the topsoils than the subsoils. Eneje et al (2005) also reported decreases in K s with depth in a sandy-loam soil elsewhere in southeastern Nigeria. Notably, land use had the least influence on the spatial variability of 60-cm moisture content and K s , suggesting that these soil hydraulic properties may be rather insensitive to land use.…”

Section: Resultsmentioning

confidence: 85%

Spatial variability of uncultivated soils in derived savanna

Obalum¹,

Oppong²,

Igwe³

et al. 2013

International Agrophysics

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The spatial variability of some physicochemical properties of topsoils/subsoils under secondary forest, grassland fallow, and bare-soil fallow of three locations was evaluated. The data were analyzed and described using classical statistical parameters. Based on the coefficient of variation, bulk density, total porosity, 60-cm-tension moisture content, and soil pH were of low variability. Coarse and fine sand were of moderate variability. Highly variable soil properties included silt, clay, macroporosity, saturated hydraulic conductivity, organic matter concentration, and cation exchange capacity. Overall, soil pH and silt varied the least and the most, respectively. Relative weighting showed that location dominantly influenced the soil variability, except for soil porosity and organic matter concentration influenced mostly by land use. Most of the soil data were normally distributed; others were positively skewed and/or kurtotic. The minimum number of samples (at 25 samples ha-1) required to estimate mean values of soil properties was highly soil property-specific, ranging from 1 (topsoil pH-H2O) to 246 (topsoil silt). Cation exchange capacity of subsoils related fairly strongly with cation exchange capacity of topsoils (R2 = 0.63). Spatial variability data can be used to extrapolate dynamic soil properties across a derived-savanna landscape.

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Saturate hydraulic conductivity, water stable aggregates and soil organic matter in a sandy-loam soil in Ikwuano lga of Abia state

Cited by 10 publications

References 0 publications

Soil Systems for Upscaling Saturated Hydraulic Conductivity for Hydrological Modeling in the Critical Zone

Soil Systems for Upscaling Saturated Hydraulic Conductivity for Hydrological Modeling in the Critical Zone

Evaluating Soil Structure and Hydraulic Conductivity by Land Use in Nigeria

Spatial variability of uncultivated soils in derived savanna

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