Role of Bimodal Particle-Size Distribution to Predict the Soil Water Retention Curve
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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
The particle sizes distribution (PSD) has a major impact on the pore arrangement in the soil, which is the basis for many soil water retention curve (SWRC) models. Lack of some particles in PSD lead to bimodal distribution of soils. In this situation, the performance of developed SWRC models for normal soils were decreased. In this study, the accuracy of three models that estimate SWRC from PSD including Aria et al. (1999), Mohammadi and Vanclooster (MV) (2011), and modified MV, that combined with VanGenuchten (1980) model, (MV-VG) (2013) were investigated in unimodal and bimodal zone of soil textural triangle. For this purpose, 94 soil samples, with a wide range of physical properties including PSD and SWRC data, were selected from the UNSODA hydraulic properties database and their SWRC were estimated by the proposed models. Estimation accuracy was evaluated using RMSE, NSE and R2 statistics. Results showed that in unimodal soil textures including loam, silt loam and silty clay, the models have good accuracy. As well as in sand, sandy loam and loamy sand soils, because of high sand content, models accuracy not affected by bimodality. In soils associated with bimodal zone of soil textural triangle including sandy clay loam, clay loam, sandy clay and clay, SWRC prediction depended on bimodality index that proposed in this paper. The mean RMSE, NSE and R2 statistics for the three models in unimodal zone of soil textural triangle were obtained 0.044, 0.378 and 0.921 and in bimodal zone they were 0.062, -2.501 and 0.859 respectively. Also, it was found that the accuracy of the three models was different and the MV-VG model had insignificant correlation with the bimodality index and could estimate more accurately SWRC from PSD.
Language:
Persian
Published:
Iranian Journal of Soil and Water Research, Volume:51 Issue: 5, 2020
Pages:
1081 to 1091
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