Probability of SDS Days Prediction in Iran’ s Eastern Region Using Spatio-Temporal Indicator Kriging method

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.

HOSSEINI AHMAD; ALIJANI BOHLOUL; WAGHEI YADOLLAH

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

Journal Paper

Paper Information

Journal: JOURNAL OF NATURAL ENVIRONMENT HAZARDS Year:2019 | Volume:8 | Issue:20 Page(s): 197-216

Download Full-Text

Persian Verion

View:

250

Download:

Cites:

Information Journal Paper

Title

Probability of SDS Days Prediction in Iran’ s Eastern Region Using Spatio-Temporal Indicator Kriging method

Author(s)

HOSSEINI AHMAD | ALIJANI BOHLOUL | WAGHEI YADOLLAH | Issue Writer Certificate

Keywords

Spatial-Temporal VariogramQ1

PredictQ2

SDS DaysQ1

Eastern Region of IranQ1

Kriging IndicatorQ1

Sand and Dust Storm(SDS)Q2

RegionQ2

Indicator Kriging MethodQ2

SDSQ2

Abstract

One of the most important environmental challenges in the Middle East and Iran in recent years is the increasing SDS phenomenon. In order to forecast the probability of SDS Days/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">SDS Days, wind speed and Horizontal view data in the eastern Regions of Iran was investigated using Kriging method of Spatial-Temporal indicator, and R software, in which indicators one and zero were considered for an SDS and for a day without SDS, respectively. Then the SP Data array (Spatial Temporal Data) was constructed with a combination of the matrix and vector in the STFDF class (Spatial Temporal Function Data Frame), and STF class (Spatial Temporal Function). After fitting all the separable and non-separable models, the sum metric variogram with the least average of the sum of squares was selected as the best model for fitting data. The output of the model showed that the data enjoy a spatial-temporal dependence to 5 days, so from the last day of the statistical period we can forecast the probability of occurrence of the SDS day for the next 5 days. On the first forecast able day, i. e. 2017/04/01, the critical points of Sarakhs and Fariman stations in Razavi Khorasan province with a probability of 16 and 20 percent, respectively, Zabol, Zahak, Mirjawa, Nosrat Abad, Zahedan and Khash stations in Sistan and Baluchestan province with 17, 13. 13, 19. 24 and 17 percent, respectively, and finally Abarkuh, Bafgh and Behabad stations in Yazd province with 20, 16 and 35 percent, respectively, enjoyed the highest probability of occurrence of SDS Days/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">SDS Days.

Cites

No record.

References

No record.

Cite

APA: Copy

HOSSEINI, AHMAD, ALIJANI, BOHLOUL, & WAGHEI, YADOLLAH. (2019). Probability of SDS Days Prediction in Iran’ s Eastern Region Using Spatio-Temporal Indicator Kriging method. JOURNAL OF NATURAL ENVIRONMENT HAZARDS, 8(20 ), 197-216. SID. https://sid.ir/paper/371479/en

Vancouver: Copy

HOSSEINI AHMAD, ALIJANI BOHLOUL, WAGHEI YADOLLAH. Probability of SDS Days Prediction in Iran’ s Eastern Region Using Spatio-Temporal Indicator Kriging method. JOURNAL OF NATURAL ENVIRONMENT HAZARDS[Internet]. 2019;8(20 ):197-216. Available from: https://sid.ir/paper/371479/en

IEEE: Copy

AHMAD HOSSEINI, BOHLOUL ALIJANI, and YADOLLAH WAGHEI, “Probability of SDS Days Prediction in Iran’ s Eastern Region Using Spatio-Temporal Indicator Kriging method,” JOURNAL OF NATURAL ENVIRONMENT HAZARDS, vol. 8, no. 20 , pp. 197–216, 2019, [Online]. Available: https://sid.ir/paper/371479/en

Related Journal Papers