Surface Water Quality Management Using Multivariate Analysis Methods (A Case Study: Shafarood River, Gilan Province, Iran)

Surface Water Quality Management Using Multivariate Analysis Methods (A Case Study: Shafarood River, Gilan Province, Iran) | 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 Surface Water Quality Management Using Multivariate Analysis Methods (A Case Study: Shafarood River, Gilan Province, Iran) Elham Gholami Deljomanesh, Mahsa Hakimi Abed, Ebrahim Fataei, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4438302/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 Management of surface water resources is directly associated with determining the correlation between physical, chemical and biological variables and also identifying their natural and anthropogenic origin. The present study was conducted to scrutinize the correlation between the major parameters affecting the water quality of Shafarood River (Gilan Province, Northern Iran) and to monitor the water quality in different areas of the river using canonical correlation analysis and cluster analysis models, respectively. The measured parameters were five physical parameters and four chemical parameters at five stations based on Standard Methods for the Examination of Water and Wastewater 2015 over six years. The results showed that there was a significant correlation between two categories of response variables (physical parameters) and predictor variables (chemical parameters), which were mainly caused by anthropogenic pollution sources (effluents from residential and garden areas). According to the results of cluster analysis, the stations were grouped into two clusters based on the level of pollution, and the cluster grouping confirmed the data of the canonical correlation matrix. The research findings revealed the effectiveness of the obtained linear combinations for the physical parameters, including total suspended solids and turbidity, as well as the chemical parameters, including biochemical oxygen demand and nitrate. To conclude, the efficiency of canonical correlation analysis and cluster analysis methods was confirmed in identifying the determinant variables of water quality and in classifying the water quality monitoring stations in the optimal management of rivers. canonical correlation analysis cluster analysis multivariate analysis methods river water quality Shafarood river 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. 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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-4438302","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":314883459,"identity":"9e25dff4-23ef-4b1b-af02-79d408734ef2","order_by":0,"name":"Elham Gholami Deljomanesh","email":"","orcid":"","institution":"Islamic Azad University","correspondingAuthor":false,"prefix":"","firstName":"Elham","middleName":"Gholami","lastName":"Deljomanesh","suffix":""},{"id":314883460,"identity":"e6ed5978-680f-4b59-ac45-458d547fe9bc","order_by":1,"name":"Mahsa Hakimi Abed","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1klEQVRIiWNgGAWjYBACAwY2hgNAksGAmfkAkC8hQ4oWtgSQFh6itEAZPAYgmrAWc/ZjiYduFGyTN2fn+fzqRo0FDwP74aMb8Gmx7Ek7cDjH4LbhzmbebdY5x4AO40lLu4HXYQfSG0BaGDcc5t1mnMMG1CLBY4Zfy/nnYC32Gw7zPDPO+UeMlhsQhyUCtTA/zm0jSsuzBJCW5A2H2cyYc/skeNgI+uV8mvHnnD+3bTecP/z4c863Ojl+9sPH8GpBBmwSYJJY5SDA/IEU1aNgFIyCUTByAADLU0zM9hBIMAAAAABJRU5ErkJggg==","orcid":"","institution":"Islamic Azad University","correspondingAuthor":true,"prefix":"","firstName":"Mahsa","middleName":"Hakimi","lastName":"Abed","suffix":""},{"id":314883461,"identity":"683a32e7-b279-4f7a-9b7c-2637237bec04","order_by":2,"name":"Ebrahim Fataei","email":"","orcid":"","institution":"Islamic Azad University","correspondingAuthor":false,"prefix":"","firstName":"Ebrahim","middleName":"","lastName":"Fataei","suffix":""},{"id":314883462,"identity":"d0154426-df97-419b-8401-b89a4ae87bd9","order_by":3,"name":"Fatemeh Shariati Feyzabadi","email":"","orcid":"","institution":"Islamic Azad University","correspondingAuthor":false,"prefix":"","firstName":"Fatemeh","middleName":"Shariati","lastName":"Feyzabadi","suffix":""},{"id":314883463,"identity":"e4b4f68e-dc78-4f35-8f23-7e2d5e498ccf","order_by":4,"name":"Ali Akbar Imani","email":"","orcid":"","institution":"Islamic Azad University","correspondingAuthor":false,"prefix":"","firstName":"Ali","middleName":"Akbar","lastName":"Imani","suffix":""}],"badges":[],"createdAt":"2024-05-17 18:36:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4438302/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4438302/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":59272770,"identity":"4edd0f43-0aab-48df-8e64-72b6e679b797","added_by":"auto","created_at":"2024-06-28 13:08:16","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":456497,"visible":true,"origin":"","legend":"","description":"","filename":"maintextfile.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4438302/v1_covered_c6b8726c-d1dc-40db-9de8-53bda2943624.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Surface Water Quality Management Using Multivariate Analysis Methods (A Case Study: Shafarood River, Gilan Province, Iran)","fulltext":[],"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":true,"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":"canonical correlation analysis, cluster analysis, multivariate analysis methods, river water quality, Shafarood river","lastPublishedDoi":"10.21203/rs.3.rs-4438302/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4438302/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eManagement of surface water resources is directly associated with determining the correlation between physical, chemical and biological variables and also identifying their natural and anthropogenic origin. 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