Technical Papers
Sep 26, 2019

Effect of Initial Compaction State on Near-Saturated Hydraulic Conductivity

Publication: Journal of Irrigation and Drainage Engineering
Volume 145, Issue 12

Abstract

Quantification of water infiltrating into the subsurface is mandatory for hydrological modeling of irrigation and drainage projects. Infiltration is influenced primarily by the soil type and initial compaction conditions (dry density and water content). However, few studies have investigated the effect of initial compaction condition on infiltration characteristics of soils and their quantitative relationship. Recent developments such as the portable mini disc infiltrometer (MDI) permit controlled, nondestructive and nonintrusive infiltration measurements in the laboratory, thereby allowing experiments under known initial compaction condition. Based on these measurements, this study developed multiple linear regression (MLR) equations relating near-saturated, near-surface hydraulic conductivity (k), and initial compaction state (dry density, γ; and gravimetric water content, w), with and without consideration of negative pressure head (h) for a cohesive and a noncohesive soil. The developed relationship was found to be statistically significant. For a particular initial w, the infiltration and k decreased with an increase in γ. For a particular γ, the k determined from infiltration measurements decreased with an increase in initial w for both soils. The developed MLR equations were used to study the effect of input variables (w, γ, and h) on k by using the method of difference. It was found that k is more sensitive to initial γ than to w and h, which have comparable influence. The role of sorptivity on the determination of k was investigated by comparing analysis methods from the literature. For lower k values (15  mm/h for noncohesive soil and 8  mm/h for cohesive soil), the effect of sorptivity on k was found to be negligible. The influence of sorptivity was predominant when initial saturation was less than 30% for which the variation of k was within 10%.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the submitted article.

Acknowledgments

The authors acknowledge the Indian Institute of Technology Guwahati, India for providing the financial support for this research program (Project No. SG/CE/P/SP2).

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 145Issue 12December 2019

History

Received: Jul 18, 2018
Accepted: Jul 17, 2019
Published online: Sep 26, 2019
Published in print: Dec 1, 2019
Discussion open until: Feb 26, 2020

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Biplab Ghosh [email protected]
Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India. Email: [email protected]
Associate Professor, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India (corresponding author). ORCID: https://orcid.org/0000-0001-9166-5590. Email: [email protected]

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