Simulating temperature of different depths of soil in hourly and daily scales using a SVAT model

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.

KHOSHKHOO Y.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Conservation Year:2019 | Volume:25 | Issue:6 Page(s): 223-238

Download Full-Text

Persian Verion

View:

345

Download:

Cites:

Information Journal Paper

Title

Simulating temperature of different depths of soil in hourly and daily scales using a SVAT model

Author(s)

KHOSHKHOO Y. | Issue Writer Certificate

Keywords

Bayesian methodQ2

Saghez stationQ1

Soil temperatureQ1

SVAT modelQ1

Abstract

Background and Objectives: Soil temperature is an important and effective variable influencing the different biophysicochemical processes in soil. Soil temperature also has a direct and indirect impact on plant activities and has a remarkable effect on the mass and energy transfer rate between soil and atmosphere. With respect to having limited and non-complete Soil temperature data, modeling the Soil temperature is very important. In this context, SVAT models which are on the basis of the solving the coupled soil heat and water transfer equations have a high importannce and acceptable accuracy. Materials and Methods: To perform this research, a SVAT model was used to simulate the hourly Soil temperature in different depths. The synoptic weather station (Saghez station) was selected to perform this research. Based on the measured data of the soil physical properties in different layers and several meteorological variables in a multi-year time period, the hourly Soil temperature values were simulated in different soil depths. The Bayesian method was used to calibrate the model by considering 10 main model parameters and by performing 8000 model runs on the basis of the different combinations of the parameter values in their uncertainty range using the Monte-Carlo stochastic method in the 1994 to 2009 time period. Then, the calibrated model was validated in the 2010 to 2014 time period and to evaluate the model performance, three indices including mean absolute error (MAE), mean biased error (MBE) and coefficient of determination (R2) were applied. Results: The bayesian calibration results showed a sensible change in the 10 selected parameter values compared to their default values with a good calibrating process. In the calibration period, the value of all of the performance indices in most cases was improved after calibration process in comparison to the default-value parameters case. The results of model validation showed non-remarkable differences between the model performance indices for two calibration and validation cases and therefore, an acceptable performance of the calibrated model can be expected to forcast the hourly Soil temperature values in any desired period so that the coefficient of determination (R2) was obtained more than 0. 9 in all of the studied times and soil depths. However, the model performance did not show a similar behavior during different seasons so that based on the R2 criterion, the lowest model performance was occurred during the winter but on the basis of the MAE criterion, the best and lowest model performance was occurred in the winter and both spring and summer seasons, respectively. The results also showed that the overall tendency of the model simulations is to underestimate the spring and summer and overestimate the autumn and winter Soil temperatures and in the annual scale, an overall model underestimation can be recognized. The daily mean Soil temperature simulation results showed less error values in comparison to the hourly Soil temperature simulations. Conclusion: The overall results of this research showed that although the SVAT model used in this study is suitable for simulating hourly and daily temperature values of different depths of the soil, but by collecting and involving more data like soil moisture data in the calibration process, it is possible to achieve more accurate results than the model. Also, due to the existence of specific processes affecting Soil temperature in both summer and winter, it is suggested that the calibration process of model parameters for these two seasons should be done separately.

Cites

No record.

References

No record.

Cite

APA: Copy

KHOSHKHOO, Y.. (2019). Simulating temperature of different depths of soil in hourly and daily scales using a SVAT model. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 25(6 ), 223-238. SID. https://sid.ir/paper/156418/en

Vancouver: Copy

KHOSHKHOO Y.. Simulating temperature of different depths of soil in hourly and daily scales using a SVAT model. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2019;25(6 ):223-238. Available from: https://sid.ir/paper/156418/en

IEEE: Copy

Y. KHOSHKHOO, “Simulating temperature of different depths of soil in hourly and daily scales using a SVAT model,” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 25, no. 6 , pp. 223–238, 2019, [Online]. Available: https://sid.ir/paper/156418/en

Related Journal Papers