Time Series Analysis of Soil Moisture Content in Loess Deposits of Hezarpich using ARIMA 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.

REZAII MOGHADAM HASAN; HOSSEINALIZADEH MOHSEN; SHEIKH VAHEDBERDI; JAFARI ROYA

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

Journal Paper

Paper Information

Journal: JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION Year:2021 | Volume:10 | Issue:2 Page(s): 1-15

Download Full-Text

Persian Verion

View:

310

Download:

Cites:

Information Journal Paper

Title

Time Series Analysis of Soil Moisture Content in Loess Deposits of Hezarpich using ARIMA model

Author(s)

REZAII MOGHADAM HASAN | HOSSEINALIZADEH MOHSEN | SHEIKH VAHEDBERDI | JAFARI ROYA | Issue Writer Certificate

Keywords

Soil Moisture ContentQ2

TDRQ2

Time SeriesQ2

Loess DepositsQ1

Abstract

Soil Moisture Content (SMC) as a small part of water balance, nearly considered in all hydrological process and soil and atmosphere tradeoff. Therefor its prediction is useful in planning, designing and decision making. For this, purposeweekly SMC in 40 weeks was measured by Time Domain Reﬂ ectometry in 3 different location of wheat and rangeland in Loess Deposits (West of Gorgan with 27 ha area) at 20cm intervals down to the 80cm depth. SMC in all considered depths and locations had trend for study period and the best model was selected regards to Akaike information criterion (AIC). The best prediction model in rangeland belongs to 60cm depth (R= 0. 96). For all considered depths except 40cm in one location in wheat, Integrated Moving Averages (1, 1) was selected as the best model. For the other location in the same land cover, the best prediction model devoted to 20cm depth (R= 0. 86). Integrated Moving Averages (1, 1) for all study locations had the highest priority. Considering tillage practices in crop land and following plough pan in 40cm depth, Autoregressive Integrated moving Average (1, 1) selected as the best model for prediction.

Cites

No record.

References

No record.

Cite

APA: Copy

REZAII MOGHADAM, HASAN, HOSSEINALIZADEH, MOHSEN, SHEIKH, VAHEDBERDI, & JAFARI, ROYA. (2021). Time Series Analysis of Soil Moisture Content in Loess Deposits of Hezarpich using ARIMA model. JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION, 10(2 ), 1-15. SID. https://sid.ir/paper/411546/en

Vancouver: Copy

REZAII MOGHADAM HASAN, HOSSEINALIZADEH MOHSEN, SHEIKH VAHEDBERDI, JAFARI ROYA. Time Series Analysis of Soil Moisture Content in Loess Deposits of Hezarpich using ARIMA model. JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION[Internet]. 2021;10(2 ):1-15. Available from: https://sid.ir/paper/411546/en

IEEE: Copy

HASAN REZAII MOGHADAM, MOHSEN HOSSEINALIZADEH, VAHEDBERDI SHEIKH, and ROYA JAFARI, “Time Series Analysis of Soil Moisture Content in Loess Deposits of Hezarpich using ARIMA model,” JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION, vol. 10, no. 2 , pp. 1–15, 2021, [Online]. Available: https://sid.ir/paper/411546/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops