Estimation of Aquifer Hydraulic Parameters Using Geo-electric Method in the Dukwi Wellfields, North-eastern Botswana

Estimation of Aquifer Hydraulic Parameters Using Geo-electric Method in the Dukwi Wellfields, North-eastern Botswana | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Estimation of Aquifer Hydraulic Parameters Using Geo-electric Method in the Dukwi Wellfields, North-eastern Botswana Omphile Sidney Lekone, Nata T. Tafesse, Rubeni Tawanda Ranganai, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3052755/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Aquifer hydraulic parameters were estimated using geo-electric methods in the Dukwi wellfields, northeastern Botswana. 16 vertical electrical sounding (VES) were recorded using the Schlumberger electrode configuration with maximum half current electrode spacing of 500 m. The data were inverted using the Interpex RESIXIP tm software. In-situ measurements of physico-chemical parameters were conducted in 19 groundwater samples. Pumping test data were also analyzed to determine aquifer hydraulic parameters. Statistical and linear regression models were used for the interpretation of the data. The main aquifer is the Mea Arkose formation, and its average estimated hydraulic conductivity and transmissivity is 31.60 m/day and 1442 m 2 /day, respectively. The mean transverse resistance and longitudinal conductance of the aquifer and the rock overlying the aquifer, respectively, is 1932 Ωm 2 and 4.57 Ω -1 . The R 2 value for the geo-electrical and pumping test hydraulic conductivity and transmissivity values is 0.6871 and 0.8896, respectively. The estimated hydraulic conductivity has a positive and good correlation (R 2 = 0.6606) with the resistivity and a strong correlation coefficient (R 2 = 0.8948) is obtained between the transmissivity of the aquifer and the Transverse resistance. Based on the correlations, equations that relate the resistivity of the aquifer to the hydraulic parameters such as transmissivity and hydraulic conductivity were formulated. These equations enable the determination of the aquifer hydraulic parameters where there is a paucity of pumping test data. Furthermore, these equations can be used in other parts of the country, and elsewhere, that have similar geological sequences and hydrogeological setup. Aquifer. Dukwi wellfield. Geo-electric methods. Groundwater. Hydraulic Conductivity. Transmissivity Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3052755","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":210078546,"identity":"a742bc41-47b1-4ac3-a376-55122507fef0","order_by":0,"name":"Omphile Sidney Lekone","email":"","orcid":"","institution":"University of Botswana","correspondingAuthor":false,"prefix":"","firstName":"Omphile","middleName":"Sidney","lastName":"Lekone","suffix":""},{"id":210078547,"identity":"11c419e2-5956-4be2-a39b-a91cb61182fe","order_by":1,"name":"Nata T. Tafesse","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAx0lEQVRIiWNgGAWjYBAC+wOMD8AMfgYeMJ1AUAsbA7MBmCHZQLIWgwNEa2E/zPjwxx+bPOMbuQcYftQw5BkcIKSFJ5nZmLctrdjsRl4CY88xhmLCWhjyj0kzNhxO3HYjx4CBt4EhcRtBLfyP2X/++PM/cfOMHAPGv0RpkUhmY+BhO5C4QSLHgJk4WyQeM0vztiUnzjjzLuGwzDGJYnvCDktm/Pjjj11if3vuwYdvamzyJBsIaEEBQPMlSFE/CkbBKBgFowAXAAD4qT/EeFKnqQAAAABJRU5ErkJggg==","orcid":"","institution":"University of Botswana","correspondingAuthor":true,"prefix":"","firstName":"Nata","middleName":"T.","lastName":"Tafesse","suffix":""},{"id":210078548,"identity":"0af1428a-20a7-475d-aa48-6e1acee1bdac","order_by":2,"name":"Rubeni Tawanda Ranganai","email":"","orcid":"","institution":"University of Botswana","correspondingAuthor":false,"prefix":"","firstName":"Rubeni","middleName":"Tawanda","lastName":"Ranganai","suffix":""},{"id":210078549,"identity":"4ede4c5f-5009-46dc-a673-181966a5689e","order_by":3,"name":"Kebabonye Laletsang","email":"","orcid":"","institution":"University of Botswana","correspondingAuthor":false,"prefix":"","firstName":"Kebabonye","middleName":"","lastName":"Laletsang","suffix":""},{"id":210078550,"identity":"a7a86e4a-a716-4b74-bd2b-26f90ff18e91","order_by":4,"name":"Tebogo L. 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Dukwi wellfield. Geo-electric methods. Groundwater. Hydraulic Conductivity. Transmissivity","lastPublishedDoi":"10.21203/rs.3.rs-3052755/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3052755/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAquifer hydraulic parameters were estimated using geo-electric methods in the Dukwi wellfields, northeastern Botswana. 16 vertical electrical sounding (VES) were recorded using the Schlumberger electrode configuration with maximum half current electrode spacing of 500 m. The data were inverted using the Interpex RESIXIP\u003csup\u003etm\u003c/sup\u003e software. In-situ measurements of physico-chemical parameters were conducted in 19 groundwater samples. Pumping test data were also analyzed to determine aquifer hydraulic parameters. Statistical and linear regression models were used for the interpretation of the data. The main aquifer is the Mea Arkose formation, and its average estimated hydraulic conductivity and transmissivity is 31.60 m/day and 1442 m\u003csup\u003e2\u003c/sup\u003e/day, respectively. The mean transverse resistance and longitudinal conductance of the aquifer and the rock overlying the aquifer, respectively, is 1932 Ωm\u003csup\u003e2\u003c/sup\u003e and 4.57 Ω\u003csup\u003e-1\u003c/sup\u003e. The R\u003csup\u003e2\u003c/sup\u003e value for the geo-electrical and pumping test hydraulic conductivity and transmissivity values is 0.6871 and 0.8896, respectively. The estimated hydraulic conductivity has a positive and good correlation (R\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;0.6606) with the resistivity and a strong correlation coefficient (R\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;0.8948) is obtained between the transmissivity of the aquifer and the Transverse resistance. Based on the correlations, equations that relate the resistivity of the aquifer to the hydraulic parameters such as transmissivity and hydraulic conductivity were formulated. These equations enable the determination of the aquifer hydraulic parameters where there is a paucity of pumping test data. Furthermore, these equations can be used in other parts of the country, and elsewhere, that have similar geological sequences and hydrogeological setup.\u003c/p\u003e","manuscriptTitle":"Estimation of Aquifer Hydraulic Parameters Using Geo-electric Method in the Dukwi Wellfields, North-eastern Botswana","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-06-19 16:56:45","doi":"10.21203/rs.3.rs-3052755/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"8b4be6c9-a403-4a26-8cfa-55371aba5902","owner":[],"postedDate":"June 19th, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2023-08-07T12:44:27+00:00","versionOfRecord":[],"versionCreatedAt":"2023-06-19 16:56:45","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3052755","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3052755","identity":"rs-3052755","version":["v1"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}