Mapping of groundwater vulnerability using optimized AHP-GOD Models and geospatial factors (Case study: littoral sedimentary aquifer of Ain Temouchent – NW Algeria

Mapping of groundwater vulnerability using optimized AHP-GOD Models and geospatial factors (Case study: littoral sedimentary aquifer of Ain Temouchent – NW Algeria | 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 Mapping of groundwater vulnerability using optimized AHP-GOD Models and geospatial factors (Case study: littoral sedimentary aquifer of Ain Temouchent – NW Algeria Mr. DEHNI Abdellatif This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2070291/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 The monitoring and protection of coastal aquifers has become a primary priority and a subject of research with the integration of Vertical Electrical Sounding (VES) in order to map groundwater vulnerability to contamination, and to evaluate their aquifer protective capacity. A study aimed to to identify an exposure level of contamination for a sustainable use of the water resources in the aquifer of Ouled Taoui - Boujema aquifer situated in Ain Temouchent – Algeria. For this purpose, a dataset was established including 170 VES soundings, topography ASTER GDEM, geological maps and finally boreholes were acquired to develop the AHP (Analytical Hierarchy Process) by ordering the weightage of geospatial factors in vulnerability mapping. However, a GOD-LT model (G: groundwater type; O: aquifer overlying strata; D: aquifer depth and L: Longitudinal conductance; T: Topography slope and Th: Thickness) has been evaluated using optimized AHP as predictive model abbreviated GOD-L, GOD-LT and GOD-LTh. Furthermore, these factors are considered as the causal factors of aquifer vulnerability (AVCF’s). The geospatial factors were derived on AHP-WLA (Weight Linear Average) for rating optimization. The pairwise comparison matrix was developed on the AVCF’s factors for AHP-GOD. The validation result showcases that 72% of prediction consistency is optimized for GOD-L model compared to 64% for the standard GOD. The GOD-LT and GOD-Th demonstrated the best reliability under consistency index. However, the vulnerability to pollution is validated by using nitrate concentration, water corrosivity and the degree of aquifer capacity protection and can be efficient mapping for water supply and environmental assessment. Groundwater vulnerability aquifer protective capacity VES Sounding AHP GOD-LT GOD-Th WLA-AVCF’s AHP Full Text Additional Declarations No competing interests reported. Supplementary Files supplementarymaterials.rar 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. 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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-2070291","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":139798727,"identity":"313bffde-5883-4962-a1c5-5bc7f3ce5c7b","order_by":0,"name":"Mr. DEHNI Abdellatif","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1UlEQVRIiWNgGAWjYFCCBDYGBgMbGM+CgeEAcVrSGHggPAlitTAcJkELf3vysccFBefl7fkPMH78USPBwHeegB6JM8/SjWcY3DbskUhgluY5JsEgeYCQNTdyzKR5DG4n8ACdJM3AJsFgcLABvw75G/nfgFrOJfDwH2D++eMfUMthApYY3MhhA2o5kMADDAcJ3jaglmMEtBieeQZyWLJhz43ENmvePgkeyTMEtMgdT34mzfPHTp69//Dhmz++2cgRDDEkwNgAInmIVj8KRsEoGAWjADcAAH94PCDfgmXlAAAAAElFTkSuQmCC","orcid":"","institution":"Dehni Abdellatif, Algerian Space Agency, Space Center Techniques","correspondingAuthor":true,"submittingAuthor":false,"prefix":"Mr.","firstName":"DEHNI","middleName":"","lastName":"Abdellatif","suffix":""}],"badges":[],"createdAt":"2022-09-15 20:44:10","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2070291/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2070291/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":27148454,"identity":"67396a4a-7ac1-4046-ae65-5949c369e358","added_by":"auto","created_at":"2022-09-29 17:24:22","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1128713,"visible":true,"origin":"","legend":"","description":"","filename":"articleEMASSept2022finalR2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2070291/v1_covered.pdf"},{"id":27148453,"identity":"be40bdc3-f49d-4a57-b79a-7e2c7e01c0d0","added_by":"auto","created_at":"2022-09-29 17:24:11","extension":"rar","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":4315100,"visible":true,"origin":"","legend":"","description":"","filename":"supplementarymaterials.rar","url":"https://assets-eu.researchsquare.com/files/rs-2070291/v1/4d6e27c1f4cef2354d824a42.rar"}],"financialInterests":"No competing interests reported.","formattedTitle":"Mapping of groundwater vulnerability using optimized AHP-GOD Models and geospatial factors (Case study: littoral sedimentary aquifer of Ain Temouchent – NW Algeria","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-2070291/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"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},"keywords":"Groundwater vulnerability, aquifer protective capacity, VES Sounding, AHP GOD-LT GOD-Th, WLA-AVCF’s, AHP ","lastPublishedDoi":"10.21203/rs.3.rs-2070291/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2070291/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe monitoring and protection of coastal aquifers has become a primary priority and a subject of research with the integration of Vertical Electrical Sounding (VES) in order to map groundwater vulnerability to contamination, and to evaluate their aquifer protective capacity. A study aimed to to identify an exposure level of contamination for a sustainable use of the water resources in the aquifer of Ouled Taoui - Boujema aquifer situated in Ain Temouchent \u0026ndash; Algeria. For this purpose, a dataset was established including 170 VES soundings, topography ASTER GDEM, geological maps and finally boreholes were acquired to develop the AHP (Analytical Hierarchy Process) by ordering the weightage of geospatial factors in vulnerability mapping. However, a GOD-LT model (G: groundwater type; O: aquifer overlying strata; D: aquifer depth and L: Longitudinal conductance; T: Topography slope and Th: Thickness) has been evaluated using optimized AHP as predictive model abbreviated GOD-L, GOD-LT and GOD-LTh. Furthermore, these factors are considered as the causal factors of aquifer vulnerability (AVCF\u0026rsquo;s). The geospatial factors were derived on AHP-WLA (Weight Linear Average) for rating optimization. The pairwise comparison matrix was developed on the AVCF\u0026rsquo;s factors for AHP-GOD. The validation result showcases that 72% of prediction consistency is optimized for GOD-L model compared to 64% for the standard GOD. The GOD-LT and GOD-Th demonstrated the best reliability under consistency index. 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