Estimating the Soil Water Retention Curve Using Different Empirical Models and A Piecewise Regression Method
نویسندگان
چکیده
In this study, the aim was to compare experimental and empirical methods used for estimation soil water retention under different conditions. Soil samples were chosen represent examples of heavy, medium light structures. Water curves obtained in laboratory using standard method. The van Genuchten (1980) (vG), Brooks Corey (1964) (BC) empirically. Model parameters determined by artificial neural networks Solver optimization methods. addition, SWR a piecewise regression (PR) As result determination coefficient R2 values from 0.8946 0.9879 vG model, while method gave better results. 0.8914 0.9267 BC finally 0.9598 0.9717 PR No clear differences observed Finally, use has been suggested where breakpoints are be included, it is also easy use. models reasonable results groups. It understood that Rosetta provided with HYDRUS software program can case limited data determine model parameters. However, more reliable both models.
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ژورنال
عنوان ژورنال: Yüzüncü Y?l Üniversitesi Tar?m Bilimleri Dergisi
سال: 2022
ISSN: ['1308-7584', '1308-7576']
DOI: https://doi.org/10.29133/yyutbd.1101682