Evaluation of Prediction Error in Some Particle Size Distribution Models for River Sediments

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.

ASADZADEH F.

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

Journal Paper

Paper Information

Journal: Iranian Journal of Soil Research Year:2017 | Volume:31 | Issue:4 Page(s): 587-599

Download Full-Text

Persian Verion

View:

425

Download:

Cites:

Information Journal Paper

Title

Evaluation of Prediction Error in Some Particle Size Distribution Models for River Sediments

Author(s)

ASADZADEH F. | Issue Writer Certificate

Keywords

Check-damQ1

Mathematical modelsQ1

Models efficiencyQ2

Weibull modelQ2

Abstract

Particle size distribution is a paramount factor in characterization of sediments and may affect many of its properties such as hydraulic and electrical properties and characteristics related to the transportability by erosive agents. The aim of this study was to compare the capability of some Mathematical models in describing particle size distribution of sediments trapped behind Check-dams. Twenty sediment samples were taken from Check-dams of four seasonal waterways in Anbi and Noshan regions of Urmia, Northwestern Iran. Full particle size distribution of sediments samples were determined by hydrometer method. Different aspects of models performance were evaluated by some efficiency criteria. Hierarchical cluster analysis of models based on selected efficiency criteria indicated that the Weibull, Revised-Weibull, Fredlund, van Genuchten, ORL and ONL are the best models in describing sediment particle size distribution. Among the selected models, Weibull was slightly superior with a mean coefficient of determination of 0. 986. Efficiency of selected models, based on R2 value, improved with the increasing of sand content in the sediment samples. Relative error of the selected models was the lowest for particles with 0. 005-2 mm in diameter, indicating the high performance of models to predict sand content of sediment samples.

Cites

No record.

References

No record.

Cite

APA: Copy

ASADZADEH, F.. (2017). Evaluation of Prediction Error in Some Particle Size Distribution Models for River Sediments. IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES), 31(4 ), 587-599. SID. https://sid.ir/paper/158886/en

Vancouver: Copy

ASADZADEH F.. Evaluation of Prediction Error in Some Particle Size Distribution Models for River Sediments. IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES)[Internet]. 2017;31(4 ):587-599. Available from: https://sid.ir/paper/158886/en

IEEE: Copy

F. ASADZADEH, “Evaluation of Prediction Error in Some Particle Size Distribution Models for River Sediments,” IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES), vol. 31, no. 4 , pp. 587–599, 2017, [Online]. Available: https://sid.ir/paper/158886/en

Related Journal Papers