Comparison of Saturated Hydraulic Conductivity Estimated by Three Different Methods

This study compares saturated hydraulic conductivities ( K s ) of three sandy soils such as coarse, medium and fine sand. The K s was obtained using three different methods: empirical methods based on the grain size analysis, the relative effective porosity model (REPM), and breakt...

Full description

Bibliographic Details
Main Authors: Hyoun-Tae Hwang, Sung-Wook Jeen, Ayman A. Suleiman, Kang-Kun Lee
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/9/12/942
_version_ 1811282024697167872
author Hyoun-Tae Hwang
Sung-Wook Jeen
Ayman A. Suleiman
Kang-Kun Lee
author_facet Hyoun-Tae Hwang
Sung-Wook Jeen
Ayman A. Suleiman
Kang-Kun Lee
author_sort Hyoun-Tae Hwang
collection DOAJ
description This study compares saturated hydraulic conductivities ( K s ) of three sandy soils such as coarse, medium and fine sand. The K s was obtained using three different methods: empirical methods based on the grain size analysis, the relative effective porosity model (REPM), and breakthrough curve analyses based on tracer tests. Column drainage tests were performed to characterize the water retention properties of the samples, which are required in the REPM. Bench scale tracer tests with various conditions were conducted to obtain reasonable linear velocities of the samples using breakthrough curve analyses and then K s was estimated using Darcy’s law. For the REPM, the differences of K s for the coarse and fine sand soils were less than one order of magnitude; however, the difference of K s values between the empirical methods and the breakthrough curve analyses was larger than one order of magnitude. The comparison results suggest that the REPM can be a reliable method for estimating K s for soil grains, and is cost effective due to its experimental simplicity.
first_indexed 2024-04-13T01:45:08Z
format Article
id doaj.art-6532e04d1b354c919b7d8b6c612faf32
institution Directory Open Access Journal
issn 2073-4441
language English
last_indexed 2024-04-13T01:45:08Z
publishDate 2017-12-01
publisher MDPI AG
record_format Article
series Water
spelling doaj.art-6532e04d1b354c919b7d8b6c612faf322022-12-22T03:08:04ZengMDPI AGWater2073-44412017-12-0191294210.3390/w9120942w9120942Comparison of Saturated Hydraulic Conductivity Estimated by Three Different MethodsHyoun-Tae Hwang0Sung-Wook Jeen1Ayman A. Suleiman2Kang-Kun Lee3Aquanty, Inc., 564 Weber Street North, Unit 2, Waterloo, ON N2L 5C6A, CanadaDepartment of Earth and Environmental Sciences & The Earth and Environmental Science System Research Center, Chonbuk National University, Jeonju-si 54896, KoreaLand, Water and Environment Department, Faculty of Agriculture, The University of Jordan, Amman 11942, JordanSchool of Earth and Environmental Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaThis study compares saturated hydraulic conductivities ( K s ) of three sandy soils such as coarse, medium and fine sand. The K s was obtained using three different methods: empirical methods based on the grain size analysis, the relative effective porosity model (REPM), and breakthrough curve analyses based on tracer tests. Column drainage tests were performed to characterize the water retention properties of the samples, which are required in the REPM. Bench scale tracer tests with various conditions were conducted to obtain reasonable linear velocities of the samples using breakthrough curve analyses and then K s was estimated using Darcy’s law. For the REPM, the differences of K s for the coarse and fine sand soils were less than one order of magnitude; however, the difference of K s values between the empirical methods and the breakthrough curve analyses was larger than one order of magnitude. The comparison results suggest that the REPM can be a reliable method for estimating K s for soil grains, and is cost effective due to its experimental simplicity.https://www.mdpi.com/2073-4441/9/12/942hydraulic conductivityrelative effective porosity modelbreakthrough curve analysisgrain size analysis
spellingShingle Hyoun-Tae Hwang
Sung-Wook Jeen
Ayman A. Suleiman
Kang-Kun Lee
Comparison of Saturated Hydraulic Conductivity Estimated by Three Different Methods
Water
hydraulic conductivity
relative effective porosity model
breakthrough curve analysis
grain size analysis
title Comparison of Saturated Hydraulic Conductivity Estimated by Three Different Methods
title_full Comparison of Saturated Hydraulic Conductivity Estimated by Three Different Methods
title_fullStr Comparison of Saturated Hydraulic Conductivity Estimated by Three Different Methods
title_full_unstemmed Comparison of Saturated Hydraulic Conductivity Estimated by Three Different Methods
title_short Comparison of Saturated Hydraulic Conductivity Estimated by Three Different Methods
title_sort comparison of saturated hydraulic conductivity estimated by three different methods
topic hydraulic conductivity
relative effective porosity model
breakthrough curve analysis
grain size analysis
url https://www.mdpi.com/2073-4441/9/12/942
work_keys_str_mv AT hyountaehwang comparisonofsaturatedhydraulicconductivityestimatedbythreedifferentmethods
AT sungwookjeen comparisonofsaturatedhydraulicconductivityestimatedbythreedifferentmethods
AT aymanasuleiman comparisonofsaturatedhydraulicconductivityestimatedbythreedifferentmethods
AT kangkunlee comparisonofsaturatedhydraulicconductivityestimatedbythreedifferentmethods