Assessment of Two Methods for Predicting Soil Retention Relationship from Basic Soil Properties

• Autorzy: Mohammed Zahraa M. , Salim Salloom B.

Identyfikatory

DOI

10.12912/27197050/166012

• Języki publikacji: EN

Abstrakty

EN

The purpose of this study was to develop the best transfer functions for estimating the soil water retention curve (SWRC) for Iraqi soils using multiple regression methods. Soil samples were collected from 30 different sites in Iraq at two depths (0–0.3 m and 0.3–0.6 m) to create a database for the development of predictive transfer functions. The database included information on soil particle size distribution, carbonate minerals, mass density, particle density, organic matter, saturated hydraulic conductivity, capillary height, and available water limits. Explanatory variables (EV) were the measured characteristics, while response variables (RV) were the volumetric water content measured at different potentials (0, 5, 10, 33, 500, 1000, 1500 kPa). Two methods were used to develop predictive transfer functions: the logit model and beta model. Prediction accuracy was assessed using mean bias error (MBE), mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2). The results showed that the variables included in the derivation of the two models for predicting θ(Ψ) were similar, except at θ(0). The variables w1 (w1 = 2P_sand° − P_silt° − P_caly° − P_carbonate), capillary height, available water, and porosity were found to be included in most of the logit and beta models. Additionally, there were no statistically significant differences between the MAE, RMSE, and R2 values of the two models. However, the beta model performed better in terms of MBE compared to the logit model. The models also demonstrated highly significant R² values (0.9819–1.00) for a linear relationship between the measured and predicted water content values.

Słowa kluczowe

EN

pedotransfer function; beta regression; logit model; explanatory variable; response variable; available water limit

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2023
• Tom: Vol. 24, iss. 6
• Strony: 61--69
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Mohammed Zahraa M.

• Department of Soil Sciences and Water Resources, College of Agricultural Engineering Sciences, University of Baghdad, Baghdad, Iraq

• https://orcid.org/0009-0006-0757-907X

autor

Salim Salloom B.

• Department of Soil Sciences and Water Resources, College of Agricultural Engineering Sciences, University of Baghdad, Baghdad, Iraq

• https://orcid.org/0000-0002-5394-481X

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