FEASIBILITY STUDY OF THE PREDICTION OF ANNUAL DROUGHT BASED ON DROUGHT CONDITIONS IN THE SPRING SEASON

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.

GHORBANI KH.; SALARI JAZI M.; ABDOLHOSSEINI M.

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

Journal Paper

Paper Information

Journal: Iranian Journal of Irrigation and Drainage Year:2015 | Volume:9 | Issue:4 Page(s): 636-645

Download Full-Text

Persian Verion

View:

670

Download:

Cites:

Information Journal Paper

Title

FEASIBILITY STUDY OF THE PREDICTION OF ANNUAL DROUGHT BASED ON DROUGHT CONDITIONS IN THE SPRING SEASON

Author(s)

GHORBANI KH. | SALARI JAZI M. | ABDOLHOSSEINI M. | Issue Writer Certificate

Keywords

DROUGHTQ2

PREDICTIONQ3

SPRINGQ2

M5 MODELQ2

ARAZKOOSEHQ2

Abstract

The DROUGHT defined as the lack of precipitation from its average along a period of time is one the most important subjects in meteorology and its PREDICTION can play an effective rule in the field of water resources management. Therefore, both different modelling strategies and different affective variables on DROUGHT characteristics are applied for DROUGHT PREDICTION. Considering the effect of SPRING rainfalls on annual DROUGHT conditions, the feasibility of the estimation of annual DROUGHT based on SPRING rainfall is investigated in this study. However, ARAZKOOSEH station located in Golestan province, Iran with 45 years recorded daily data were selected as case study. After calculation of DROUGHT severity factor based on standardized precipitation index (SPI), for 1, 3, and 12 months’ time scales, the correlation matrix was created. The results indicated highest correlation values between annual DROUGHT and DROUGHT in SPRING season. In order to find more accurate results, monthly DROUGHT indices for SPRING season were added to an M5 MODEL. The results showed the predictability of annual DROUGHT using SPRING rainfalls as its correlation coefficient was 0.89 and the root mean square error was 0.57.

Cites

No record.

References

No record.

Cite

APA: Copy

GHORBANI, KH., SALARI JAZI, M., & ABDOLHOSSEINI, M.. (2015). FEASIBILITY STUDY OF THE PREDICTION OF ANNUAL DROUGHT BASED ON DROUGHT CONDITIONS IN THE SPRING SEASON. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 9(4), 636-645. SID. https://sid.ir/paper/131564/en

Vancouver: Copy

GHORBANI KH., SALARI JAZI M., ABDOLHOSSEINI M.. FEASIBILITY STUDY OF THE PREDICTION OF ANNUAL DROUGHT BASED ON DROUGHT CONDITIONS IN THE SPRING SEASON. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2015;9(4):636-645. Available from: https://sid.ir/paper/131564/en

IEEE: Copy

KH. GHORBANI, M. SALARI JAZI, and M. ABDOLHOSSEINI, “FEASIBILITY STUDY OF THE PREDICTION OF ANNUAL DROUGHT BASED ON DROUGHT CONDITIONS IN THE SPRING SEASON,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 9, no. 4, pp. 636–645, 2015, [Online]. Available: https://sid.ir/paper/131564/en

Related Journal Papers