A Simplified Model to Estimate Soil Water Characteristic Curve from Basic Soil Properties for Expansive Soils, Case in Bahir Dar, Ethiopia

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Abstract Many researchers have proposed models to predict SWCC from easily measured soil properties. These models are based on indirect methods using easily measured soil properties. However, most of the available models are developed for soils in temperate regions where the physical properties and mineralogy properties are different from the tropical soils, so their application in tropical regions may be infeasible. This paper proposes a simplified set of models used to estimate the w-SWCC of Bahir dar city using basic soil properties. The basic soil properties of eighteen soil samples obtained from Bahir dar city were determined experimentally. w-SWCC data points of the soils were determined from pressure plate tests and were fitted with Fredlund and Xing (1994) and the fitting parameters were determined. The obtained fitting parameters were correlated with the basic properties of soils using multiple linear regression analysis. A set of models of fitting parameters were established, considering the fitting parameters related to gravimetric soil water characteristic curve. The validity of the models was evaluated using Four soil data's, which were not used in developing the models. The proposed models have a good estimation of w-SWCC when compared to the existing prediction models.
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A Simplified Model to Estimate Soil Water Characteristic Curve from Basic Soil Properties for Expansive Soils, Case in Bahir Dar, Ethiopia | 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 A Simplified Model to Estimate Soil Water Characteristic Curve from Basic Soil Properties for Expansive Soils, Case in Bahir Dar, Ethiopia Fissha Zelalem Admassie, Wondirad Worku Mekonen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6359947/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 14 You are reading this latest preprint version Abstract Many researchers have proposed models to predict SWCC from easily measured soil properties. These models are based on indirect methods using easily measured soil properties. However, most of the available models are developed for soils in temperate regions where the physical properties and mineralogy properties are different from the tropical soils, so their application in tropical regions may be infeasible. This paper proposes a simplified set of models used to estimate the w-SWCC of Bahir dar city using basic soil properties. The basic soil properties of eighteen soil samples obtained from Bahir dar city were determined experimentally. w-SWCC data points of the soils were determined from pressure plate tests and were fitted with Fredlund and Xing (1994) and the fitting parameters were determined. The obtained fitting parameters were correlated with the basic properties of soils using multiple linear regression analysis. A set of models of fitting parameters were established, considering the fitting parameters related to gravimetric soil water characteristic curve. The validity of the models was evaluated using Four soil data's, which were not used in developing the models. The proposed models have a good estimation of w-SWCC when compared to the existing prediction models. Soil water characteristic curve Matric suction Gravimetric water content Multiple Linear Regression Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 23 May, 2025 Reviews received at journal 20 May, 2025 Reviews received at journal 19 May, 2025 Reviewers agreed at journal 19 May, 2025 Reviewers agreed at journal 19 May, 2025 Reviewers agreed at journal 17 May, 2025 Reviews received at journal 15 May, 2025 Reviews received at journal 12 May, 2025 Reviewers agreed at journal 12 May, 2025 Reviewers agreed at journal 08 May, 2025 Reviewers invited by journal 06 May, 2025 Editor assigned by journal 24 Apr, 2025 Submission checks completed at journal 24 Apr, 2025 First submitted to journal 02 Apr, 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. 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