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dc.contributor.authorLopez Valencia, Oliver Miguel
dc.contributor.authorJadoon, Khan
dc.contributor.authorMissimer, Thomas
dc.date.accessioned2015-12-21T06:45:25Z
dc.date.available2015-12-21T06:45:25Z
dc.date.issued2015-11-12
dc.identifier.citationMethod of Relating Grain Size Distribution to Hydraulic Conductivity in Dune Sands to Assist in Assessing Managed Aquifer Recharge Projects: Wadi Khulays Dune Field, Western Saudi Arabia 2015, 7 (11):6411 Water
dc.identifier.issn2073-4441
dc.identifier.doi10.3390/w7116411
dc.identifier.urihttp://hdl.handle.net/10754/584221
dc.description.abstractPlanning for use of a dune field aquifer for managed aquifer recharge (MAR) requires that hydraulic properties need to be estimated over a large geographic area. Saturated hydraulic conductivity of dune sands is commonly estimated from grain size distribution data by employing some type of empirical equation. Over 50 samples from the Wadi Khulays dune field in Western Saudi Arabia were collected and the grain size distribution, porosity, and hydraulic conductivity were measured. An evaluation of 20 existing empirical equations showed a generally high degree of error in the predicted compared to the measured hydraulic conductivity values of these samples. Statistical analyses comparing estimated versus measured hydraulic conductivity demonstrated that there is a significant relationship between hydraulic conductivity and mud percentage (and skewness). The modified Beyer equation, which showed a generally low prediction error, was modified by adding a second term fitting parameter related to the mud concentration based on 25 of the 50 samples analyzed. An inverse optimization process was conducted to quantify the fitting parameter and a new empirical equation was developed. This equation was tested against the remaining 25 samples analyzed and produced an estimated saturated hydraulic conductivity with the lowest error of any empirical equation. This methodology can be used for large dune field hydraulic conductivity estimation and reduce planning costs for MAR systems.
dc.language.isoen
dc.publisherMDPI AG
dc.relation.urlhttp://www.mdpi.com/2073-4441/7/11/6411/
dc.rightsArchived with thanks to Water. This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/
dc.subjectmanaged aquifer recharge
dc.subjectdune sediments
dc.subjectgrain size distribution
dc.subjecthydraulic conductivity
dc.subjectporosity
dc.subjectempirical equations
dc.titleMethod of Relating Grain Size Distribution to Hydraulic Conductivity in Dune Sands to Assist in Assessing Managed Aquifer Recharge Projects: Wadi Khulays Dune Field, Western Saudi Arabia
dc.typeArticle
dc.contributor.departmentEnvironmental Science and Engineering Program
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)
dc.identifier.journalWater
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionWhitaker College of Engineering, Florida Gulf Coast University, 10501 FGCU Boulevard South, Fort Myers, FL 33965-6565, USA
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personLopez Valencia, Oliver Miguel
kaust.personJadoon, Khan
refterms.dateFOA2018-06-14T03:52:27Z


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