Spatial prediction of groundwater potential area using fractal models, aeromagnetic and geospatial data in Tata basin, Morocco

Spatial prediction of groundwater potential area using fractal models, aeromagnetic and geospatial data in Tata basin, Morocco | 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 Spatial prediction of groundwater potential area using fractal models, aeromagnetic and geospatial data in Tata basin, Morocco Fatima Zahra Echogdali, Said Boutaleb, Mustapha Ikirri, Mohamed Aadraoui, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6170519/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract The necessity to safeguard groundwater resources in arid and semi-arid regions has driven the development of advanced spatial planning tools for mapping. This study aims to delineate potential groundwater zones (GWPA) in the Tata Basin, Morocco, utilizing the Data-Driven Multi-Index Overlay (DMIO) model. The analysis incorporates nine conditioning factors: elevation, slope, proximity to rivers, proximity to lineaments, drainage density, permeability, lineament density, topographic wetness index (TWI), and lineament intersection density. Despite its utility, the GWPA mapping process is challenged by uncertainties inherent in these factors. To assess the impact of such uncertainties, three parameters (normalized density (Nd), weight (We), and the Receiver Operating Characteristic (ROC) curve) were employed. The GWPA model classified the study area into five classes: very low (20.77%), low (44.78%), moderate (16.83%), high (13.97%), and very high (3.65%) groundwater potential. The model demonstrated a predictive capacity with Nd = 3.76 and We = 1.31, corroborated by the success curve analysis, thus confirming its reliability in GWPA mapping. Additionally, geological structures in the Tata Basin related to groundwater potential were analyzed using magnetic data processed with various filtering techniques. The results were consistent, further validating the model's accuracy and dependability. These findings highlight the DMIO model's efficacy in GWPA mapping and its potential application in other regions requiring sustainable groundwater resource management. Groundwater potential areas Prediction-Area (P-A) Normalized density ROC curve Success-rate curve Aeromagnetic Tata basin Morocco Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 24 Apr, 2025 Reviewers agreed at journal 23 Apr, 2025 Reviewers agreed at journal 19 Apr, 2025 Reviewers agreed at journal 16 Apr, 2025 Reviewers invited by journal 03 Apr, 2025 Editor assigned by journal 01 Apr, 2025 Submission checks completed at journal 01 Apr, 2025 First submitted to journal 06 Mar, 2025 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-6170519","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":447661035,"identity":"3bc28a1c-e3fa-485f-8fc5-3495d332fca7","order_by":0,"name":"Fatima Zahra Echogdali","email":"data:image/png;base64,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","orcid":"","institution":"Ibnou Zohr University","correspondingAuthor":true,"prefix":"","firstName":"Fatima","middleName":"Zahra","lastName":"Echogdali","suffix":""},{"id":447661036,"identity":"9aec24d7-5029-4ad9-bc68-8a1179ef6e1d","order_by":1,"name":"Said Boutaleb","email":"","orcid":"","institution":"Ibnou Zohr University","correspondingAuthor":false,"prefix":"","firstName":"Said","middleName":"","lastName":"Boutaleb","suffix":""},{"id":447661037,"identity":"a66dd971-1678-4059-b1a5-01191e123828","order_by":2,"name":"Mustapha Ikirri","email":"","orcid":"","institution":"Ibnou Zohr University","correspondingAuthor":false,"prefix":"","firstName":"Mustapha","middleName":"","lastName":"Ikirri","suffix":""},{"id":447661038,"identity":"afabe532-37ca-48dc-9737-fd91e669c44c","order_by":3,"name":"Mohamed Aadraoui","email":"","orcid":"","institution":"Sultan Moulay Slimane University","correspondingAuthor":false,"prefix":"","firstName":"Mohamed","middleName":"","lastName":"Aadraoui","suffix":""},{"id":447661039,"identity":"105aa1ae-5795-4978-a4ad-b755c51fe07f","order_by":4,"name":"Mohamed Abioui","email":"","orcid":"","institution":"Ibnou Zohr University","correspondingAuthor":false,"prefix":"","firstName":"Mohamed","middleName":"","lastName":"Abioui","suffix":""}],"badges":[],"createdAt":"2025-03-06 12:23:30","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6170519/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6170519/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":81414285,"identity":"b9e9aba9-732c-4b80-a895-a2c60e324be5","added_by":"auto","created_at":"2025-04-25 22:15:24","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2851855,"visible":true,"origin":"","legend":"","description":"","filename":"Echogdalietal.2025.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6170519/v1_covered_a400033d-c2a2-49d9-9dc0-b32df3cf5877.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Spatial prediction of groundwater potential area using fractal models, aeromagnetic and geospatial data in Tata basin, Morocco","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-geoscience","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Geoscience](https://www.springer.com/journal/44288)","snPcode":"44288","submissionUrl":"https://submission.nature.com/new-submission/44288","title":"Discover Geoscience","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Groundwater potential areas, Prediction-Area (P-A), Normalized density, ROC curve, Success-rate curve, Aeromagnetic, Tata basin, Morocco","lastPublishedDoi":"10.21203/rs.3.rs-6170519/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6170519/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe necessity to safeguard groundwater resources in arid and semi-arid regions has driven the development of advanced spatial planning tools for mapping. This study aims to delineate potential groundwater zones (GWPA) in the Tata Basin, Morocco, utilizing the Data-Driven Multi-Index Overlay (DMIO) model. The analysis incorporates nine conditioning factors: elevation, slope, proximity to rivers, proximity to lineaments, drainage density, permeability, lineament density, topographic wetness index (TWI), and lineament intersection density. Despite its utility, the GWPA mapping process is challenged by uncertainties inherent in these factors. To assess the impact of such uncertainties, three parameters (normalized density (Nd), weight (We), and the Receiver Operating Characteristic (ROC) curve) were employed. The GWPA model classified the study area into five classes: very low (20.77%), low (44.78%), moderate (16.83%), high (13.97%), and very high (3.65%) groundwater potential. The model demonstrated a predictive capacity with Nd\u0026thinsp;=\u0026thinsp;3.76 and We =\u0026thinsp;1.31, corroborated by the success curve analysis, thus confirming its reliability in GWPA mapping. Additionally, geological structures in the Tata Basin related to groundwater potential were analyzed using magnetic data processed with various filtering techniques. The results were consistent, further validating the model's accuracy and dependability. These findings highlight the DMIO model's efficacy in GWPA mapping and its potential application in other regions requiring sustainable groundwater resource management.\u003c/p\u003e","manuscriptTitle":"Spatial prediction of groundwater potential area using fractal models, aeromagnetic and geospatial data in Tata basin, Morocco","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-25 21:51:19","doi":"10.21203/rs.3.rs-6170519/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2025-04-24T20:27:21+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"198017536054358449434130628231511678152","date":"2025-04-23T10:35:59+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"9743081986902128425697897909294616285","date":"2025-04-19T19:13:34+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"189458520394902469613366592163740303647","date":"2025-04-16T18:47:24+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-04-03T18:58:24+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-04-01T12:18:39+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-04-01T12:17:30+00:00","index":"","fulltext":""},{"type":"submitted","content":"Discover Geoscience","date":"2025-03-06T12:13:49+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"discover-geoscience","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Geoscience](https://www.springer.com/journal/44288)","snPcode":"44288","submissionUrl":"https://submission.nature.com/new-submission/44288","title":"Discover Geoscience","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"268df02e-859a-49e0-bf3f-8af6106904e2","owner":[],"postedDate":"April 25th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-09-08T07:24:49+00:00","versionOfRecord":[],"versionCreatedAt":"2025-04-25 21:51:19","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6170519","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6170519","identity":"rs-6170519","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}