METHODS FOR PREDICTING HYDRAULIC CONDUCTIVITY OF NIGERIAN AGRICULTURAL SOILS

Accurate prediction of hydraulic conductivity is very crucial for infiltration and runoff estimation. Factors which affect water infiltration in the soil include hydraulic conductivity, wetting front and soil sorptivity, ponding depth, depth to water table and impact of rain drops. Amongst these factors, the importance of hydraulic conductivity cannot be overemphasized. Hydraulic conductivity is one of the most important parameter for flow and transport related phenomena in soil. There is concern arising from the suitability, efficiency and ease of the different measuring methods under different conditions. The various methods of predicting hydraulic conductivity include field; laboratory and correlation methods each with individual merits and demerits. Although selection of a specific method for a particular application will depend on the objectives to be achieved, most researchers prefer direct measurement of soil hydraulic conductivity. The estimation of soil hydraulic conductivity using correlation method depends on the local soil maps, soil particle size distribution, organic matter content and bulk density. Field methods are usually more expensive than laboratory methods. Consequently, when the question of cost becomes decisive, or when actual representation of field conditions is not of fundamental importance and in-situ hydraulic conductivity is not available, laboratory methods may be used to predict the saturated hydraulic conductivity K. This study explains the various methods that can be used to predict hydraulic conductivity in-situ or within the laboratory.

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Publication Details

Journal
Quantum Journal of Engineering Science and Technology
Published
2025-03-17
DOI
https://doi.org/10.55197/qjoest.v6i1.195
Primary Topic
Soil and Unsaturated Flow
Type
article
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article

METHODS FOR PREDICTING HYDRAULIC CONDUCTIVITY OF NIGERIAN AGRICULTURAL SOILS

Chidobere Nwa-David, CYPRIAN NDAMZI TOM, Isiguzo Edwin Ahaneku, JOSEPH ANTIGHA EDET et al.
Quantum Journal of Engineering Science and Technology
Soil and Unsaturated Flow
article

METHODS FOR PREDICTING HYDRAULIC CONDUCTIVITY OF NIGERIAN AGRICULTURAL SOILS

Chidobere Nwa-David, CYPRIAN NDAMZI TOM, Isiguzo Edwin Ahaneku, JOSEPH ANTIGHA EDET, UKACHI ETOAMAIHE, C. U. Orji
article en

Abstract

Accurate prediction of hydraulic conductivity is very crucial for infiltration and runoff estimation. Factors which affect water infiltration in the soil include hydraulic conductivity, wetting front and soil sorptivity, ponding depth, depth to water table and impact of rain drops. Amongst these factors, the importance of hydraulic conductivity cannot be overemphasized. Hydraulic conductivity is one of the most important parameter for flow and transport related phenomena in soil. There is concern arising from the suitability, efficiency and ease of the different measuring methods under different conditions. The various methods of predicting hydraulic conductivity include field; laboratory and correlation methods each with individual merits and demerits. Although selection of a specific method for a particular application will depend on the objectives to be achieved, most researchers prefer direct measurement of soil hydraulic conductivity. The estimation of soil hydraulic conductivity using correlation method depends on the local soil maps, soil particle size distribution, organic matter content and bulk density. Field methods are usually more expensive than laboratory methods. Consequently, when the question of cost becomes decisive, or when actual representation of field conditions is not of fundamental importance and in-situ hydraulic conductivity is not available, laboratory methods may be used to predict the saturated hydraulic conductivity K. This study explains the various methods that can be used to predict hydraulic conductivity in-situ or within the laboratory.

Quantum Journal of Engineering Science and TechnologyVol. 6(1)
Rivers State University (NG), Michael Okpara University of Agriculture (NG)
Openalex Percentile: Top 95%
Soil and Unsaturated Flow
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METHODS FOR PREDICTING HYDRAULIC CONDUCTIVITY OF NIGERIAN AGRICULTURAL SOILS — Chidobere Nwa-David, CYPRIAN NDAMZI TOM, et al. · Quantum Journal of Engineering Science and Technology (2025) | TGRS Research Map | TGRS