PREDICTION OF SPI DROUGHT INDEX USING SUPPORT VECTOR AND MULTIPLE LINEAR REGRESSIONS

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.

SAMADIANFARD SAEED; ASADI ESMAEIL

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:2017 | Volume:6 | Issue:4 Page(s): 1-16

Download Full-Text

Persian Verion

View:

1,510

Download:

Cites:

Information Journal Paper

Title

PREDICTION OF SPI DROUGHT INDEX USING SUPPORT VECTOR AND MULTIPLE LINEAR REGRESSIONS

Author(s)

SAMADIANFARD SAEED | ASADI ESMAEIL | Issue Writer Certificate

Keywords

DROUGHTQ2

PREDICTIONQ1

STANDARDIZED PRECIPITATION INDEXQ2

STATISTICAL ANALYSISQ1

Abstract

DROUGHT is a natural phenomenon, which has a complex mechanism as a result of interactions of meteorological parameters and usually occurs in all climates. So, predicting DROUGHT indices and their chronological evaluation is an effective way for the DROUGHT management and adaptation with its consequences. In the current research, PREDICTION of DROUGHT indices are carried out for Tabriz synoptic station, using support vector regression, multiple linear regression and standard precipitation index (SPI) for the time period of 1979 to 2012. In this regard, for predicting SPI indices in the periods of 3, 6, 9, 12, 24 and 48 months, six different input combinations including the antecedent correspondent values of the mentioned index have been utilized. The results of STATISTICAL ANALYSIS showed that both methods had significant accuracy. Nonetheless, the support vector regressions for predicting SPI-6, SPI-9 and SPI-24 had better performances, regarding the root mean squared errors of 0.4985, 0.4340 and 0.2427, respectively. However, the multiple linear regressions showed lower relative errors, for predicting SPI-3, SPI-12 and SPI-48. Meanwhile, it can be concluded that both examined methods including support vector and multiple linear regressions had acceptable PREDICTIONs of DROUGHT index and can be used with an admissible confidentiality for the management of DROUGHT consequences.

Cites

No record.

References

Cite

APA: Copy

SAMADIANFARD, SAEED, & ASADI, ESMAEIL. (2017). PREDICTION OF SPI DROUGHT INDEX USING SUPPORT VECTOR AND MULTIPLE LINEAR REGRESSIONS. JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION, 6(4), 1-16. SID. https://sid.ir/paper/232222/en

Vancouver: Copy

SAMADIANFARD SAEED, ASADI ESMAEIL. PREDICTION OF SPI DROUGHT INDEX USING SUPPORT VECTOR AND MULTIPLE LINEAR REGRESSIONS. JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION[Internet]. 2017;6(4):1-16. Available from: https://sid.ir/paper/232222/en

IEEE: Copy

SAEED SAMADIANFARD, and ESMAEIL ASADI, “PREDICTION OF SPI DROUGHT INDEX USING SUPPORT VECTOR AND MULTIPLE LINEAR REGRESSIONS,” JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION, vol. 6, no. 4, pp. 1–16, 2017, [Online]. Available: https://sid.ir/paper/232222/en

Related Journal Papers