Role of Bimodal Particle-Size Distribution to Predict the Soil Water Retention Curve

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

EGDERNEZHAD ASLAN; ataee ali; Neyshabouri Mohammad Reza; ASADI KAPOURCHAL SAFOORA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2020 | Volume:51 | Issue:5 Page(s): 1081-1091

Download Full-Text

Persian Verion

View:

378

Download:

Cites:

Information Journal Paper

Title

Role of Bimodal Particle-Size Distribution to Predict the Soil Water Retention Curve

Author(s)

EGDERNEZHAD ASLAN | ataee ali | Neyshabouri Mohammad Reza | ASADI KAPOURCHAL SAFOORA | Issue Writer Certificate

Keywords

Grain Size DistributionQ2

ModelingQ2

Pore Size DistributionQ3

Soil TextureQ1

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.

Cites

No record.

References

No record.

Cite

APA: Copy

EGDERNEZHAD, ASLAN, ataee, ali, Neyshabouri, Mohammad Reza, & ASADI KAPOURCHAL, SAFOORA. (2020). Role of Bimodal Particle-Size Distribution to Predict the Soil Water Retention Curve. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 51(5 ), 1081-1091. SID. https://sid.ir/paper/369603/en

Vancouver: Copy

EGDERNEZHAD ASLAN, ataee ali, Neyshabouri Mohammad Reza, ASADI KAPOURCHAL SAFOORA. Role of Bimodal Particle-Size Distribution to Predict the Soil Water Retention Curve. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2020;51(5 ):1081-1091. Available from: https://sid.ir/paper/369603/en

IEEE: Copy

ASLAN EGDERNEZHAD, ali ataee, Mohammad Reza Neyshabouri, and SAFOORA ASADI KAPOURCHAL, “Role of Bimodal Particle-Size Distribution to Predict the Soil Water Retention Curve,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 51, no. 5 , pp. 1081–1091, 2020, [Online]. Available: https://sid.ir/paper/369603/en

Related Journal Papers