A New Method for Estimating Hydraulic Parameters by Measuring Soil Moisture in the Field

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.

ZAND PARSA SH.; PARVIZI S.; Sepaskhah A. R.; Kamgar Haghighi A. A

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Science Year:2018 | Volume:22 | Issue:1 Page(s): 99-113

Download Full-Text

Persian Verion

View:

508

Download:

Cites:

Information Journal Paper

Title

A New Method for Estimating Hydraulic Parameters by Measuring Soil Moisture in the Field

Author(s)

ZAND PARSA SH. | PARVIZI S. | Sepaskhah A. R. | Kamgar Haghighi A. A | Issue Writer Certificate

Keywords

SWCT modelQ1

Objective functionQ1

Inverse methodQ2

Soil water contentQ2

Soil temperatureQ2

Abstract

In this study, the values of moisture and Soil temperature were estimated at different depths and times under unsteady conditions by solving the Richards’ equation in an explicit finite difference method provided in Visual Studio C#. For the estimation of soil hydraulic parameters, including av and nv (coefficients of van Genuchten’ s equation) and Ks (saturated hydraulic conductivity), soil moisture and temperature at different depths were measured by TDR probes and the stability apparatus, respectively. The Objective function [equal to Root Mean Square Error (RMSE)] was minimized by the optimization of a parameter separately, using the Newton-Raphson method, while, the other parameters were considered as the constant values. Then, by replacing the optimized value of this parameter, the same was done for other parameters. The procedure of optimization was iterated until reaching minor changes to the Objective function. The results showed that soil hydraulic parameters (coefficients of van Genuchten’ s equation) could be optimized by using the SWCT (Soil water content and Temperature) model with measuring the Soil water content at different depths and meteorological parameters including the minimum and maximum temperature, , air vapor pressure, rainfall and solar radiation. Finally, the measured values of soil moisture and temperature were compared to the depth of 70cm in spring, summer, and autumn of 2015. The values of the normalized RMSE of Soil water content were 0. 090, 0. 096 and 0. 056 at the soil depths of 5, 35 and 70 cm, respectively, while the values of the normalized RSME of Soil temperatures were 2. 000, 1. 175 and 1. 5 oC at these depths, respectively. In this research, the values of soil hydraulic parameters were compared with other previous models in a wider range of soil moisture varying from saturation to air dry condition, as more preferred in soil researches.

Cites

No record.

References

No record.

Cite

APA: Copy

ZAND PARSA, SH., PARVIZI, S., Sepaskhah, A. R., & Kamgar Haghighi, A. A. (2018). A New Method for Estimating Hydraulic Parameters by Measuring Soil Moisture in the Field. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 22(1 ), 99-113. SID. https://sid.ir/paper/394496/en

Vancouver: Copy

ZAND PARSA SH., PARVIZI S., Sepaskhah A. R., Kamgar Haghighi A. A. A New Method for Estimating Hydraulic Parameters by Measuring Soil Moisture in the Field. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2018;22(1 ):99-113. Available from: https://sid.ir/paper/394496/en

IEEE: Copy

SH. ZAND PARSA, S. PARVIZI, A. R. Sepaskhah, and A. A Kamgar Haghighi, “A New Method for Estimating Hydraulic Parameters by Measuring Soil Moisture in the Field,” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 22, no. 1 , pp. 99–113, 2018, [Online]. Available: https://sid.ir/paper/394496/en

Related Journal Papers