Investigating the combined use of hydrological and hydraulic methods in estimating sediment load entering large dam reservoirs

Investigating the combined use of hydrological and hydraulic methods in estimating sediment load entering large dam reservoirs | 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 Investigating the combined use of hydrological and hydraulic methods in estimating sediment load entering large dam reservoirs Rouhollah Fattahi Nafchi, Hossein Samadi-Boroujeni, Kaveh Ostad-Ali-Askari, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8989602/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 In this study, to estimate the suspended load of sediments entering the reservoir of Dez dam located in southwestern Iran, various hydrological methods were used including annual, seasonal, and monthly high water-low water, in two methods (USBR, FAO) and the ratio method.The results showed that the ratio method had the lowest percentage of relative error among the hydrological methods tested, so it was introduced as the optimal method.Various hydraulic methods such as Ratner, Van Rijn, Meyer-Peter and Müller, Müller and Schoklitsch were used to estimate the load of the bed entering the reservoir of Dez Dam. This method was used for the days when the bed load was measured and sampled at the hydrometric station located at the entrance to the reservoir of Dez Dam (Tele Zang station), and based on this, the ratio of bed load to suspended load was obtained.The results indicated that with increasing flood flow rate, the share of bed load relative to suspended load is decreased so that the value of suspended bed load coefficient from 42% for a minimum flow rate of 158 m3/s to 1% for a recorded maximum instantaneous flood rate of 6753 m3changed per second. This result also shows that with increasing flow rate, the ratio of bed load to suspended load is reduced. These results show that the values obtained for the average ratio of bed load to suspended load for all methods except the FAO annual method are not significantly different at the confidence level of 90% and on average, this value is equal to 12%. Bed load Supended Sediments Hydrographic Methods Suspended load Dez dam FAO Annual Method Hydrometric Station 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-8989602","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":605669179,"identity":"dec3e99e-424c-41f8-be66-d9e478756730","order_by":0,"name":"Rouhollah Fattahi Nafchi","email":"","orcid":"","institution":"Shahrekord University","correspondingAuthor":false,"prefix":"","firstName":"Rouhollah","middleName":"Fattahi","lastName":"Nafchi","suffix":""},{"id":605669180,"identity":"0b19bfeb-bc57-44a5-94f6-d4f837ba8697","order_by":1,"name":"Hossein Samadi-Boroujeni","email":"","orcid":"","institution":"Shahrekord 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